HSPA+ Evolution to Release 12: Performance and Optimization
By Harri Holma, Antti Toskala and Pablo Tapia
()
About this ebook
A comprehensive reference book codifying the various standards releases for High Speed Packet Access (HSPA) wireless technology
HSPA evolution has maintained its prominence through Releases 7-11 but the evolution is coming to an end with Release 12, with the focus moving to LTE. However, HSPA network and terminal sales will continue for many years: HSPA is expected to remain as the number one radio access technology from the sales point of view far beyond 2015. This timely book examines the complete HSPA evolution, and will be the ultimate long term reference for HSPA evolution.
Headed by the successful editing team of Holma, Toskala and Tapia, industry experts look at HSPA evolution including complete Release 11 and the main additions in Release 12. They describe 3GPP definitions, field measurement, expected performance, practical optimization guidelines and the implications to the devices and to the networks. The book also covers MIMO antenna solutions and multicarrier evolution to provide higher data rates. Dedicated chapters include Continuous Packet Connectivity and High Speed Common Channels which provide major improvement to the smartphone capacity, end user performance and power consumption. The book assumes basic understanding of mobile communications yet the material is presented in an understandable way which can be enjoyed without any pre-information about MIMO or other technology solutions.
- A comprehensive reference book codifying the various standards releases for High Speed Packet Access (HSPA) wireless technology
- Leading editor and contributor team focusing their expertise on 3GPP features and performance, including Self Organizing Networks, LTE Interworking, Smartphone Optimization and Voice Evolution
- Dedicated chapter covering VoIP over HSPA, recognizing that telephony will continue to bring most of the revenues to mobile operators in the near future
- Includes tables, figures and plots illustrating the concepts or simulation results, to aid readers’ understanding of the topic
An essential resource for R&D engineers by network, terminal and chip set vendors, network engineers with operators, application developers, regulators.
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HSPA+ Evolution to Release 12 - Harri Holma
Foreword
Our industry has undergone massive change in the last few years and it feels like only yesterday that T-Mobile USA, and the industry as a whole, was offering voice centric services and struggling to decide what to do about data.
Once the smartphone revolution started and consumption of new services literally exploded, wireless operators had to quickly overcome many new challenges. This new era of growth in the wireless industry continues to create great opportunity coupled with many new challenges for the wireless operators.
In my role of Chief Technical Officer at T-Mobile USA, I have enjoyed leading our company through a profound technology transformation over a very short period of time. We have rapidly evolved our network from a focus on voice and text services, to providing support to a customer base with over 70% smartphones and a volume of carried data that is growing over 100% year on year. At the time of writing, we offer one of the best wireless data experiences in the USA which is one of the fastest growing wireless data markets in the world. We provide these services through a combination of both HSPA+, and more recently, LTE technologies.
Many wireless operators today have to quickly address how they evolve their network. And with consumer demand for data services skyrocketing, the decision and choice of technology path are critical. Some operators may be tempted to cease investments in their legacy HSPA networks and jump straight to LTE. In our case, we bet heavily on the HSPA+ technology first, and this has proved instrumental to our success and subsequent rollout of LTE. As you will discover throughout this book, there are many common elements and similarities between HSPA+ and LTE, and the investment of both time and money into HSPA will more than pay off when upgrading to LTE. It certainly did for us.
Furthermore, industry forecasts indicate that by the end of the decade HSPA+ will replace GSM as the main reference global wireless technology and HSPA+ will be used extensively to support global voice and data roaming. This broad-based growth of HSPA+ will see continued development of existing economies of scale for both infrastructure and devices.
This book provides a great combination of theoretical principles, device design, and practical aspects derived from field experience, which will help not only tune and grow your HSPA+ network, but also LTE when the time comes. The book has been written by 26 experts from multiple companies around the world, including network infrastructure and chip set vendors, mobile operators, and consultancy companies.
As worldwide renowned experts, Harri and Antti bring a wealth of knowledge to explain all the details of the technology. They have helped create and develop the UMTS and HSPA technologies through their work at NSN, and more recently pushed the boundaries of HSPA+ from Release 8 onward.
Pablo has been a key player to our HSPA+ success at T-Mobile, working at many levels to drive this technology forward: from business case analysis and standardization, to leading technology trials through design and optimization activities. His practical experience provides a compelling perspective on this technology and is a great complement to the theoretical aspects explored in this book.
I hope you will find this book as enjoyable as I have, and trust that it will help advance your understanding of the great potential of this key and developing technology.
Neville Ray
CTO
T-Mobile USA
Preface
HSPA turned out to be a revolutionary technology, through making high-speed wide-area data connections possible. HSPA is by far the most global mobile broadband technology and is deployed by over 500 operators. Data volumes today are substantially higher than voice volumes and mobile networks have turned from being voice dominated to data dominated. The fast increase in data traffic and customer expectation for higher data rates require further evolution of HSPA technology. This book explains HSPA evolution, also called HSPA+. The book is structured as follows. Chapter 1 presents an introduction. Chapter 2 describes the basic HSDPA and HSUPA solution. Chapter 3 presents multicarrier and multiantenna evolution for higher efficiency and higher data rates. Chapter 4 explains continuous packet connectivity and high speed common channels. Multiflow functionality is described in Chapter 5, voice evolution in Chapter 6, and heterogeneous networks in Chapter 7. Advanced receiver algorithms are discussed in Chapter 8. ITU performance requirements for IMT-Advanced and HSPA+ simulation results are compared in Chapter 9. Chapters 10 to 13 present the practical network deployment and optimization: HSPA+ field measurements in Chapter 10, network planning in Chapter 11, network optimization in Chapter 12, and smartphone optimization in Chapter 13. Terminal design aspects are presented in Chapter 14. The inter-working between LTE and HSPA is discussed in Chapter 15 and finally the outlook for further HSPA evolution in Chapter 16. The content of the book is summarized here in Figure P.1.
Figure P.1 Contents of the book.
Acknowledgments
The editors would like to acknowledge the hard work of the contributors from Nokia, from T-Mobile USA, from Videotron Canada, from Teliasonera, from Renesas Mobile and from Signals Research Group: Mika Aalto, Luigi Dicapua, Ryszard Dokuczal, Mikael Guenais, Timo Halonen, Matthias Hesse, Thomas Höhne, Maciej Januszewski, Jean-Marc Lemenager, Thierry Meslet, Laurent Noel, Brian Olsen, Hisashi Onozawa, Hannu Raassina, Karri Ranta-aho, Jussi Reunanen, Fernando Sanchez Moya, Alexander Sayenko, Jeff Smith, Mike Thelander, Jeroen Wigard, Victor Wilkerson, and Carl Williams.
We also would like to thank the following colleagues for their valuable comments: Erkka Ala-Tauriala, Amar Algungdi, Amaanat Ali, Vincent Belaiche, Grant Castle, Costel Dragomir, Karol Drazynski, Magdalena Duniewicz, Mika Forssell, Amitava Ghosh, Jukka Hongisto, Jie Hui, Shane Jordan, Mika Laasonen, M. Franck Laigle, Brandon Le, Henrik Liljeström, Mark McDiarmid, Peter Merz, Randy Meyerson, Harinder Nehra, Jouni Parviainen, Krystian Pawlak, Marco Principato, Declan Quinn, Claudio Rosa, Marcin Rybakowski, David A. Sánchez-Hernández, Shubhankar Saha, Yannick Sauvat, Mikko Simanainen, Dario Tonesi, Mika Vuori, Dan Wellington, Changbo Wen, and Taylor Wolfe.
The editors appreciate the fast and smooth editing process provided by Wiley and especially by Sandra Grayson, Liz Wingett, and Mark Hammond.
We are grateful to our families, as well as the families of all the authors, for their patience during the late night writing and weekend editing sessions.
The editors and authors welcome any comments and suggestions for improvements or changes that could be implemented in forthcoming editions of this book. The feedback is welcome to the editors' email addresses [email protected], [email protected], and [email protected].
Abbreviations
3GPP
Third Generation Partnership Project
ACK
Acknowledgment
ACL
Antenna Center Line
ACLR
Adjacent Channel Leakage Ratio
ACP
Automatic Cell Planning
ADC
Analog Digital Conversion
AICH
Acquisition Indicator Channel
AL
Absorption Losses
ALCAP
Access Link Control Application Part
AM
Acknowledged Mode
AMR
Adaptive Multirate
ANDSF
Access Network Discovery and Selection Function
ANQP
Access Network Query Protocol
ANR
Automatic Neighbor Relations
APE
Application Engine
APNS
Apple Push Notification Service
APT
Average Power Tracking
aSRVCC
Alerting SRVCC
AWS
Advanced Wireless Services
BBIC
Baseband Integrated Circuit
BCH
Broadcast Channel
BH
Busy Hour
BiCMOS
Bipolar CMOS
BLER
Block Error Rate
BOM
Bill of Material
BPF
Band Pass Filter
BSC
Base Station Controller
BT
Bluetooth
BTS
Base Station
CA
Carrier Aggregation
CAPEX
Capital Expenses
CCCH
Common Control Channel
CDMA
Code Division Multiple Access
CIO
Cell Individual Offset
CL
Closed Loop
CL-BFTD
Closed Loop Beamforming Transmit Diversity
CM
Configuration Management
CMOS
Complementary Metal Oxide Semiconductor
CoMP
Cooperative Multipoint
CPC
Continuous Packet Connectivity
C-PICH
Common Pilot Channel
CPU
Central Processing Unit
CQI
Channel Quality Information
CRC
Cyclic Redundancy Check
CS
Circuit-Switched
CSFB
CS Fallback
CSG
Closed Subscriber Group
CTIA
Cellular Telecommunications and Internet Association
DAC
Digital Analog Conversion
DAS
Distributed Antenna System
DASH
Dynamic Adaptive Streaming over HTTP
DC
Direct Current
DC
Dual-Carrier
DCA
Direct Conversion Architecture
DCH
Dedicated Channel
DC-HSDPA
Dual-Cell HSDPA
DC-HSPA
Dual-Cell HSPA
DDR
Double Data Rate
DF
Dual Frequency
DFCA
Dynamic Frequency and Channel Allocation
DL
Downlink
DM
Device Management
DMIPS
Dhrystone Mega Instructions Per Second
DPCCH
Dedicated Physical Control Channel
DRAM
Dynamic Random Access Memory
DRX
Discontinuous Reception
DS
Deep Sleep
DSL
Digital Subscriber Line
DSP
Digital Signal Processing
DTX
Discontinuous Transmission
E-AGCH
Enhanced Absolute Grant Channel
EAI
Extended Acquisition Indicator
Ec/No
Energy per Chip over Interference and Noise
E-DCH
Enhanced Dedicated Channel
EDGE
Enhanced Data rates for GSM Evolution
E-DPCH
Enhanced Dedicated Physical Channel
eF-DPCH
Enhanced Fractional Dedicated Physical Channel
EGPRS Enhanced GPRS E-HICH
E-DCH Hybrid ARQ Indicator Channel
eICIC
Enhanced Inter-Cell Interference Cancellation
EIRP
Equivalent Isotropical Radiated Power
EMI
Electro-Magnetic Interference
EPA
Extended Pedestrian A
EPC
Evolved Packet Core
EPS
Evolved Packet System
E-RGCH
Enhanced Relative Grant Channel
eSRVCC
Enhanced SRVCC
ET
Envelope Tracking
EU
European Union
E-UTRA
Enhanced Universal Terrestrial Radio Access
EVM
Error Vector Magnitude
FACH
Forward Access Channel
FBI
Feedback Information
FDD
Frequency Division Duplex
F-DPCH
Fractional Dedicated Physical Channel
FE
Front End
FE-FACH
Further Enhanced Forward Access Channel
feICIC
Further Enhanced Inter-Cell Interference Coordination
FEM
Front End Module
FGA
Fast Gain Acquisition
FIR
Finite Impulse Response
FM
Frequency Modulation
FOM
Figure of Merit
FS
Free Space
FTP
File Transfer Protocol
GAS
Generic Advertisement Service
GCM
Google Cloud Messaging
GGSN
Gateway GPRS Support Node
GoS
Grade of Service
GPEH
General Performance Event Handling
GPRS
General Packet Radio Service
GPS
Global Positioning System
GPU
Graphical Processing Unit
GS
Gain Switching
GSM
Global System for Mobile Communications
GSMA
GSM Association
GTP
GPRS Tunneling Protocol
HARQ
Hybrid Automatic Repeat-reQuest
HD
High Definition
HDMI
High Definition Multimedia Interface
HDR
High Dynamic Range
HEPA
High Efficiency PA
HLS
HTTP Live Streaming
HO
Handover
HPF
High Pass Filter
H-RNTI
HS-DSCH Radio Network Temporary Identifier
HSDPA
High Speed Downlink Packet Access
HS-DPCCH
High Speed Downlink Physical Control Channel
HS-DSCH
High Speed Downlink Shared Channel
HS-FACH
High Speed Forward Access Channel
HSPA
High Speed Packet Access
HS-RACH
High Speed Random Access Channel
HS-SCCH
High Speed Shared Control Channel
HSUPA
High Speed Uplink Packet Access
HTTP
Hypertext Transfer Protocol
IC
Integrated Circuit
IEEE
Institute of Electrical and Electronics Engineers
IIP
Input Intercept Point
IIR
Infinite Impulse Response
ILPC
Inner Loop Power Control
IMEISV
International Mobile Station Equipment Identity and Software Version
IMSI
International Mobile Subscriber Identity
IMT
International Mobile Telephony
IO
Input–Output
IP
Intellectual Property
IP
Internet Protocol
IQ
In-phase/quadrature
IRAT
Inter Radio Access Technology
ISD
Inter-Site Distance
ISMP
Inter-System Mobility Policy
ISRP
Inter-System Routing Policy
ITU-R
International Telegraphic Union Radiocommunications sector
JIT
Just In Time
KPI
Key Performance Indicator
LA Location Area LAC
Location Area Code
LAU
Location Area Update
LCD
Liquid Crystal Display
LDO
Low Drop Out
LNA
Low Noise Amplifier
LO
Local Oscillator
LS
Light Sleep
LTE
Long Term Evolution
MAC
Medium Access Control
MAPL
Maximum Allowable Pathloss
MBR
Maximum Bitrate
MCL
Minimum Coupling Loss
MCS
Modulation and Coding Scheme
MDT
Minimization of Drive Tests
MGW
Media Gateway
MIMO
Multiple Input Multiple Output
MIPI
Mobile Industry Processor Interface
ML
Mismatch Loss
MLD
Maximum Likelihood Detection
MME
Mobility Management Entity
MMMB
Multimode Multiband
MMSE
Minimum Mean Square Error
MO
Mobile Originated
MOS
Mean Opinion Score
MP
Multiprocessing
MPNS
Microsoft Push Notification Service
MSC
Mobile Switching Center
MSC-S
MSC-Server
MSS
Microsoft's Smooth Streaming
MSS
MSC-Server
MT
Mobile Terminated
NA
North America
NACK
Negative Acknowledgement
NAIC
Network Assisted Interference Cancellation
NAS
Non-Access Stratum
NB
Narrowband
NBAP
NodeB Application Part
NGMN
Next Generation Mobile Network
OEM
Original Equipment Manufacturer
OL
Open Loop
OLPC
Open Loop Power Control
OMA
Open Mobile Alliance
OPEX
Operational Expenses
OS
Operating System
OSC
Orthogonal Subchannelization
OTA
Over The Air
PA
Power Amplifier
PAE
Power Added Efficiency
PAM
Power Amplifier Module
PAPR
Peak to Average Power Ratio
PCB
Printed Circuit Board
PCH
Paging Channel
PDCP
Packet Data Convergence Protocol
PDP
Packet Data Protocol
PDU
Payload Data Unit
PIC
Parallel Interference Cancellation (PIC)
PICH
Paging Indicator Channel
PLL
Phase Locked Loop
PLMN
Public Land Mobile Network
PM
Performance Management
PRACH
Physical Random Access Channel
PS
Packet Switched
P-SCH
Primary Synchronization Channel
PSD
Power Spectral Density
QAM
Quadrature Amplitude Modulation
QBE
Quadband EGPRS
QoE
Quality of Experience
QoS
Quality of Service
QPSK
Quadrature Phase Shift Keying
QXDM
Qualcomm eXtensible Diagnostic Monitor
R99
Release 99
RAB
Radio Access Bearer
RAC
Routing Area Code
RACH
Random Access Channel
RAN
Radio Access Network
RANAP
Radio Access Network Application Part
RAT
Radio Access Technology
RB
Radio Bearer
RET
Remote Electrical Tilt
RF
Radio Frequency
RFFE
RF Front End
RFIC
RF Integrated Circuit
RLC
Radio Link Control
RNC
Radio Network Controller
ROHC
Robust Header Compression
RoT
Rice over Thermal
RRC
Radio Resource Control
RRM
Radio Resource Management
RRSS
Receiver Radio Signal Strength
RSCP
Received Signal Code Power
RSRP
Reference Signal Received Power
rSRVCC
Reverse SRVCC
RSSI
Received Signal Strength Indicator
RTP
Real Time Protocol
RTT
Round Trip Time
RUM
Real User Measurements
RX
Receive
SAW
Surface Acoustic Wave
S-CCPCH
Secondary Common Control Physical Channel
SCRI
Signaling Connection Release Indication
SD
Secure Digital
SD
Sphere Decoding
S-DPCCH
Secondary Dedicated Physical Control Channel
S-E-DPCCH
Secondary Dedicated Physical Control Channel for E-DCH
S-E-DPDCH
Secondary Dedicated Physical Data Channel for E-DCH
SF
Single Frequency
SF
Spreading Factor
SFN
System Frame Number
SGSN
Serving GPRS Support Node
SHO
Soft Handover
SI
Status Indication
SIB
System Information Block
SIC
Successive Interference Canceller
SIM
Subscriber Identity Module
SINR
Signal to Interference and Noise Ratio
SIR
Signal to Interference Ratio
SMSB
Single Mode Single Band
SNR
Signal to Noise Ratio
SoC
System on Chip
SON
Self-Organizing Network
SRVCC
Single Radio Voice Call Continuity
S-SCH
Secondary Synchronization Channel
SSID
Service Set Identifier
STTD
Space Time Transmit Diversity
SW
Software
TA
Tracking Area
TAC
Tracking Area Code
TAU
Tracking Area Update
TDD
Time Division Duplex
TD-SCDMA
Time Division Synchronous Code Division Multiple Access
TFCI
Transport Format Control Indicator
TIS
Total Isotropic Sensitivity
TM
Transparent Mode
TRP
Total Radiated Power
TRX
Transceiver
TTI
Transmission Time Interval
TVM
Traffic Volume Measurement
TX
Transmit
UARFCN
UTRAN Absolute Radio Frequency Channel Number
UDP
User Datagram Protocol
UE
User Equipment
UHF
Ultrahigh Frequency
UI
User Interaction
UL
Uplink
UM
Unacknowledged Mode
UMI
UTRAN Mobility Information
UMTS
Universal Mobile Telecommunications System
URL
Uniform Resource Locator
USB
Universal Serial Bus
U-SIM
UMTS SIM
UTRAN
Universal Terrestrial Radio Access Network
VAM
Virtual Antenna Mapping
VCO
Voltage Controlled Oscillator
VIO
Input Offset Voltage
VoIP
Voice over IP
VoLTE
Voice over LTE
vSRVCC
Video SRVCC
VST
Video Start Time
VSWR
Voltage Standing Wave Ratio
WB
Wideband
WCDMA
Wideband Code Division Multiple Access
Wi-Fi
Wireless Fidelity
WiMAX
Worldwide Interoperability for Microwave Access
WLAN
Wireless Local Area Network
WPA
Wi-Fi Protected Access
WW
World Wide
XPOL
Cross-Polarized
ZIF
Zero Insertion Force
1
Introduction
Harri Holma
1.1 Introduction
GSM allowed voice to go wireless with more than 4.5 billion subscribers globally. HSPA allowed data to go wireless with 1.5 billion subscribers globally. The number of mobile broadband subscribers is shown in Figure 1.1. At the same time the amount of data consumed by each subscriber has increased rapidly leading to a fast increase in the mobile data traffic: the traffic growth has been 100% per year in many markets. More than 90% of bits in mobile networks are caused by data connections and less than 10% by voice calls. The annual growth of mobile data traffic is expected to be 50–100% in many markets over the next few years. Mobile networks have turned from voice networks into data networks. Mobile operators need to enhance network capabilities to carry more data traffic with better performance. Smartphone users expect higher data rates, more extensive coverage, better voice quality, and longer battery life.
Figure 1.1 Number of subscribers with mobile broadband technologies
Most of the current mobile data traffic is carried by HSPA networks. HSPA+ is expected to be the dominant mobile broadband technology for many years to come due to attractive data rates and high system efficiency combined with low cost devices and simple upgrade on top of WCDMA and HSPA networks. This book presents HSPA evolution solutions to enhance the network performance and capacity. 3GPP specifications, optimizations, field performance, and terminals aspects are considered.
1.2 HSPA Global Deployments
More than 550 operators have deployed the HSPA network in more than 200 countries by 2014. All WCDMA networks have been upgraded to support HSPA and many networks also support HSPA+ with 21 Mbps and 42 Mbps. HSPA technology has become the main mobile broadband solution globally. Long Term Evolution (LTE) will be the mainstream solution in the long term for GSM and HSPA operators and also for CDMA and WiMAX operators. HSPA traffic will continue to grow for many years and HSPA networks will remain in parallel to LTE for a long time. The technology evolution is shown in Figure 1.2.
Figure 1.2 Radio technology evolution
HSPA has been deployed on five bands globally, see Figure 1.3. The most widely used frequency band is 2100 MHz 3GPP Band 1 which is used in many countries in Europe, Asia, the Middle East, and Africa. The other high-band options are Band 4 at 2100/1700 MHz and Band 2 at 1900 MHz. In many cases operators have deployed HSPA on two bands: high band for capacity and low band for coverage. The two low-band options are 900 MHz and 850 MHz. The low-band rollouts have turned out to be successful in improving the network coverage, which gives better customer performance and better network quality. Low bands have traditionally been used by GSM. Using the same bands for HSPA is called refarming. GSM and HSPA can co-exist smoothly on the same band.
Figure 1.3 HSPA main frequency bands
1.3 Mobile Devices
The very first 3G devices ten years ago suffered from high power consumption, high cost, poor quality, and lack of applications. Battery power consumption during a voice call has dropped from more than 400 mA to below 100 mA in the latest devices, 3G smartphone prices have dropped below 50 EUR, and a huge number of applications can be downloaded to the devices. The attractive price points for 3G smartphones are enabled by the low-cost chip sets available from multiple vendors. The major improvement in power consumption shows the importance of RF and baseband technology evolution. The large HSPA market size brings high volume production and enables low cost devices. The attractive price points are needed to make the devices available to billions of subscribers. HSPA devices are available for many operating systems including Android, iOS, and Windows Phones. Those smartphone platforms offer hundreds of thousands of applications for the users. Not only has the data capability been improved but also the voice quality has been enhanced with the introduction of High Definition (HD) voice based on Adaptive Multirate Wideband (AMR-WB) codec.
Since the number of global HSPA frequency variants is just five, it is possible to make a global HSPA device that can be used in any HSPA network worldwide. That makes the logistics simpler. The LTE frequency options are more complex and, therefore, multiple variants of the same devices are required for the global market.
An example low end 3G device is shown in Figure 1.4: HSPA Release 7 capability with 7.2 Mbps data rate, dual band support, 2.4′′ screen, 90 g weight, and up to 500 hours of standby time. Such devices can act as the first access to the Internet for millions of people.
Figure 1.4 Low end HSPA phone – Nokia 208. Source: Nokia. Reproduced by permission of Nokia
1.4 Traffic Growth
The new smartphones and their applications are increasing traffic volumes rapidly in mobile networks. The combined data volume growth of a few major operators over a two-year period is shown in Figure 1.5: the growth rate has been 100% per year. The fast data growth sets challenges for network capacity upgrades. Higher spectral efficiency, more spectrum, and more base stations will be needed. If the traffic were to grow by 100% per year for a 10-year period, the total traffic growth would be 1000 times higher.
Figure 1.5 HSDPA data volume growth of a few major operators
Not only the data volume but also the signaling volumes are increasing in the network. Smartphone applications typically create relatively small packet sizes that are transmitted frequently, causing continuous channel allocations and releases. Figure 1.6 shows the average data volume for each High Speed Downlink Shared Channel (HS-DSCH) allocation. Each bar represents a different mobile operator. Those operators with a low data volume per allocation (below 100 kB) have high penetration of smartphones while those operators with a large data volume per allocation (above 200 kB) have relatively higher penetration of USB modems and laptop connectivity. If the average data volume per allocation is low, then more allocations and more related signaling will be required. If we assume 50–100 kB per allocation and the data volume 1 GB/sub/month, this corresponds to 330–660 allocations per subscriber per day. Assuming that the busiest hour takes approximately 6% of the daily allocations, we have then on average 20–40 allocations per busy hour. That means the network allocates resources on average every 2 minutes for every smartphone subscriber during the busy hour. Such frequent channel allocations require high signaling capacity. The high signaling also causes more uplink interference because of the control channel overhead. Therefore, solutions for uplink interference control solutions are needed in the smartphone dominated networks.
Figure 1.6 Average data volume for HS-DSCH channel allocation
1.5 HSPA Technology Evolution
The first version of HSDPA was defined in 3GPP Release 5 during 2002, the backwards compatibility started in 2004, and the first HSDPA network was launched in 2005. Release 5 allowed a maximum data rate of 14 Mbps in downlink, although the first networks supported only 1.8 and 3.6 Mbps. Since then, data rates have been increasing in 3GPP releases both in downlink and in uplink. The peak rate in Release 11 is up to 336 Mbps in downlink and 35 Mbps in uplink. The evolution is shown in Figure 1.7. The maximum data rates in the commercial networks currently (mid 2014) are 42 Mbps in downlink and 11 Mbps in uplink, which are based on Release 8.
Figure 1.7 Peak data rate evolution in downlink and in uplink
The latency evolution helps end user performance since many interactive applications benefit from the low latency. The typical latency in WCDMA Release 99 networks was 150–200 ms while HSDPA Release 5 enabled sub-80 ms latency, and the combination of HSDPA and HSUPA in Release 6 gave even sub-30 ms latency. Latency here refers to round-trip time, which is the two-way latency through the mobile and the core network. The HSPA latency improvements are shown in Figure 1.8. Latency consists of the transmit delay caused by the air interface frame sizes and by the processing delays in UE and by the delays in the network elements and transport network. The channel allocation delay has also improved considerably from typically 1 second in the first WCDMA networks to below 0.4 seconds in the latest HSPA networks.
Figure 1.8 Round-trip time evolution
1.6 HSPA Optimization Areas
A number of further optimization steps are required in HSPA to support even more users and higher capacity. The optimization areas include, for example, installation of additional carriers, minimization of signaling load, optimization of terminal power consumption, low band refarming at 850 and 900 MHz, control of uplink interference, and introduction of small cells in heterogeneous networks. Many of these topics do not call for major press releases or advanced terminals features but are quite important in improving end user satisfaction while the traffic is increasing.
The most straightforward solution for adding capacity is to add more carriers to the existing sites. This solution is cost efficient because existing sites, antennas, and backhaul solutions can be reused. The load balancing algorithms can distribute the users equally between the frequencies.
The limiting factor in network capacity can also be the signaling traffic and uplink interference. These issues may be found in smartphone dominated networks where the packet sizes are small and frequent signaling is required to allocate and release channels. The signaling traffic can increase requirements for RNC dimensioning and can also increase uplink interference due to the continuous transmissions of the uplink control channel. Uplink interference management is important, especially in mass arenas like sports stadiums. A number of efficient solutions are available today to minimize uplink interference.
The frequent channel allocations and connection setups also increase the power consumption in the terminal modem section. Those solutions minimizing the transmitted interference in the network tend to also give benefits in terms of power consumption: when the terminal shuts down its transmitter, the power consumption is minimized and the interference is also minimized.
Low-band HSPA refarming improves network coverage and quality. The challenge is to support GSM traffic and HSPA traffic on the same band with good quality. There are attractive solutions available today to carry GSM traffic in fewer spectra and to squeeze down HSPA spectrum requirements.
Busy areas in mobile networks may have such high traffic that it is not possible to provide the required capacity by adding several carriers at the macro site. One optimization step is to split the congested sector into two, which means essentially the introduction of a six-sector solution to the macro site. Another solution is the rollout of small-cell solutions in the form of a micro or pico base station. The small cells can share the frequency with the macro cell in co-channel deployment, which requires solutions to minimize the interference between the different cell layers.
1.7 Summary
HSPA technology has allowed data connections to go wireless all over the world. HSPA subscribers have already exceeded 1 billion and traffic volumes are growing rapidly. This book presents the HSPA technology evolution as defined in 3GPP but also illustrates practical field performance and discusses many of the network optimization and terminal implementation topics.
2
HSDPA and HSUPA in Release 5 and 6
Antti Toskala
2.1 Introduction
This chapter presents the Release 5 based High Speed Downlink Packet Access (HSDPA) and Release 6 based High Speed Uplink Packet Access (HSUPA). This chapter looks first at the 3GPP activity in creating the standard and then presents the key technology components introduced in HSDPA and HSUPA that enabled the breakthrough of mobile data. Basically, as of today, all networks have introduced as a minimum HSDPA support, and nearly all also HSUPA. Respectively, all new chip sets in the marketplace and all new devices support HSDPA and HSUPA as the basic feature set. This chapter also addresses the network architecture evolution from Release 99 to Release 7, including relevant core network developments.
2.2 3GPP Standardization of HSDPA and HSUPA
3GPP started working on better packet data capabilities immediately after the first version of the 3G standard was ready, which in theory offered 2 Mbps. The practical experience was, however, that Release 99 was not too well-suited for more than 384 kbps data connections, and even those were not provided with the highest possible efficiency. One could have configured a user to receive 2 Mbps in the Dedicated Channel (DCH), but in such a case the whole downlink cell capacity would have been reserved to a single user until the channel data rate downgraded with RRC reconfiguration. The first studies started in 2000 [1], with the first specification in 2002 for HSDPA and then 2004 for HSUPA, as shown in Figure 2.1.
Figure 2.1 3GPP HSDPA and HSUPA specification timeline
While the Release 99 standard in theory allows up to 2 Mbps, the devices in the field were implemented only up to 384 kbps. With HSDPA in Release 5 the specifications have been followed such that even the highest rates have been implemented in the marketplace, reaching up to 14 Mbps, and beyond this in later Releases with different enhancements, as covered in the later chapters of this book. The first HSDPA networks were opened at the end of 2005 when the first data products appeared in the marketplace, some 18 months after the 3GPP specification freeze.
With HSUPA, commercial implementations appeared in the marketplace in mid-2007, some 15 months after the specification freeze of early 2006, as shown in Figure 2.1. With smart phones it took generally a bit longer for the technology to be integrated compared to a USB dongle-style product.
The Release 6 uplink with HSUPA including up to 5.8 Mbps capability has also been widely implemented, while the uplink data rate has also been enhanced beyond the Release 6 capability in later 3GPP Releases.
2.3 HSDPA Technology Key Characteristics
The Release 99 WCDMA was basically very much circuit switch oriented in terms of resource reservation, which restricted the practical use of very high data rates while amply providing the CS services (voice and video) that did not require a too high bit rate [2]. The Release 5 HSDPA included several fundamental improvements to the WCDMA standard, with the key items being:
BTS based scheduling;
physical layer retransmissions;
higher order modulation;
link adaptation;
dynamic code resource utilization.
BTS-based scheduling moved the scheduling of the common channels from the RNC to the BTS, closer to the radio with actual knowledge of the channel and interference conditions and resource availability. While the scheduling for HSDPA was moved to the BTS, lots of other intelligence remained in the RNC, and further HSDPA functionalities were in most cases additional functionalities, not replacing RNC operation. The Release 99 functional split for the radio resource management is shown in Figure 2.2.
Figure 2.2 Release 99 radio resource management functional split
From the protocol stack point of view, the new functionality is added to the MAC layer, with the new MAC-hs added in the BTS. This is illustrated in Figure 2.3, with the remaining MAC-d in the RNC responsible for possible MAC layer service multiplexing.
Figure 2.3 HSDPA user plane protocol stack
BTS-based link adaptation allowed reaction to the momentary downlink link quality with all the information of the radio link situation available in the BTS via the new physical layer Channel Quality Information (CQI) feedback. When a user comes closer to the BTS, the received power level is better than needed. This is due to the limited downlink power control dynamic range, since signals received by the users cannot have too large a power difference. This means that a user close to the BTS has a symbol power level tens of dBs greater than necessary. This excessive symbol power level is utilized with the link adaptation. For a user in a good link quality situation, higher order modulation and less channel coding can be used. Respectively, for a user with lower link quality, more robust modulation and more channel encoding redundancy can be used for increased protection. This is illustrated in Figure 2.4.
Figure 2.4 HSDPA link adaptation
The link adaptation thus ensures successful transmission even at the cell edge. When data first arrives at the buffer in the base station, the base station scheduler will, however, first prefer to check that the UE has good link condition. Normally, the link condition changes all the time, even for a stationary user. By placing the transmissions in such time instants, based in the CQI, the resource usage is minimized and the system capacity is maximized. The time window considered in the base station varies depending on the service requirements. The detailed scheduler implementation is always left for the network implementation and is not part of the 3GPP specifications.
Transmission of a packet is anyway not always successful. In Release 99 a packet error in the decoding would need a retransmission all the way from the RNC, assuming the Acknowledged Mode (AM) of RLC is being used. Release 5 introduced physical layer retransmission enabling rapid recovery from an error in the physical layer packet decoding.
The operation procedure for the physical layer retransmission is as follows:
After transmission a packet is still kept in the BTS memory and removed only after positive acknowledgement (Ack) of the reception is received.
In case the packet is not correctly received, a negative acknowledgement (NAck) is received from the UE via the uplink physical layer feedback. This initiates retransmission, with the base station scheduler selecting a suitable moment to schedule a retransmission for the UE.
The UE receiver has kept the earlier packet in the receiver soft buffer and once the retransmission arrives, the receiver combines the original transmission and retransmission. This allows utilization of the energy of both transmissions for the turbo decoder process.
The Hybrid Adaptive Repeat and reQuest (HARQ) operation is of stop and wait type. Once a packet decoding has failed, the receiver stops to wait for retransmission. For this reason one needs multiple HARQ processes to enable continuous operation. With HSDPA the number of processes being configurable, but with the UE memory being limited, the maximum data rate is achieved with the use of six processes which seems to be adapted widely in practical HSDPA network implementations.
The HSDPA HARQ principle is shown in Figure 2.5. From the network side, the extra functionality is to store the packets in the memory after first transmission and then be able to decode the necessary feedback from the UE and retransmit. Retransmission could be identical, or the transmitter could alter which bits are being punctured after Turbo encoding. Such a way of operating is called incremental redundancy. There are also smaller optimizations, such as varying the way the bits are mapped to the 16QAM constellation points between retransmissions. The modulation aspects were further enhanced in Release 7 when 64QAM was added. While the use of 16QAM modulation was originally a separate UE capability, today basically all new UEs support 16QAM, many even 64QAM reception as well.
Figure 2.5 HSDPA HARQ operation
To address the practicality of handling high bit rates, dynamic code resource sharing was introduced. Release 99 UE was allocated a specific downlink channelization code(s) dimensioned to carry the maximum data rate possible for the connection. When the data rate was smaller, the transmission was then discontinuous to reduce interference generated to the network. Thus, with the lower data rates, the code was then used only part of the time, as shown in Figure 2.6. It is not possible to share such a resource with any other user, which causes the orthogonal code resource to run out quickly, especially with the case of variable rate packet data connections. Had one used 2 Mbps in the field, it would have basically enabled only a single user to have been configured in a cell at the time.
Figure 2.6 Code resource usage with Release 99 DPCH
The dynamic code resource utilization with HSDPA means that for each packet there is separate control information being transmitted (on the High Speed Shared Control Channel, HS-SCCH), which identifies which UE is to receive the transmission and which codes are being used. When a UE does not have downlink data to receive on HSDPA, the codes are used by another user or users. There is a pool of 15 codes with a spreading factor of 16 available for HSDPA use, assuming that there is not too much other traffic, such as Release 99 based voice, requiring codes for DCH usage. One cell can have up to four parallel HS-SCCHs which UE could monitor, but for maximum performance it is usually better to send to fewer users at a time in order to minimize the overhead needed for the signaling. From a network point of view, one could configure even more than four HS-SCCHs for one cell, giving different UEs a different set of the channels, but there is no real benefit from such a configuration. The principle of the use of HS-SCCH to point out to the UE which High Speed Physical Shared Channel (HS-PDSCH) codes to receive is illustrated in Figure 2.7. As seen also in Figure 2.6 there is a timing offset between the control and data channel, which allows the UE to determine before the 2 ms Transmission Time Internal (TTI) on HS-PDSCH which codes are intended for the UE in question. This needs to be known beforehand, especially if the UE receiver is able to receive fewer codes than the maximum of 15.
Figure 2.7 HSDPA physical channels for data and control
The HS-SCCH is divided into two parts, with the first part carrying information on the codes received and also which modulation is being used, while the second part carries information on the HARQ process being used, transport block size, redundancy version or whether the transmission is new packet, or whether it should be combined with existing data in the buffer for the particular HARQ process. The spreading factor for HS-SCCH is always fixed to be 128, and UE will check from the first part whether the control data is intended for it or not (UE specific masking prevents successful decoding of another HS-SCCH than the one intended for the UE).
The structure for the HS-PDSCH is simple, as there are only symbols carrying user data, not control fields or pilot symbols. The number of channel bits fitting on a single code on HS-PDSCH is only impacted by the modulation being used, with the alternatives being QPSK and 16QAM from Release 5 or additionally the use of 64QAM as added in Release 7. Up to 15 codes may be used in total during a 2-ms TTI, as shown in Figure 2.8. The channel coding applied on the HS-PDSCH is turbo coding.
Figure 2.8 HS-SCCH structure
Besides downlink control information, there is also the need to transmit uplink physical layer control information for HSDPA operation. For that purpose a new physical channel was added in the uplink direction as well, the High Speed Dedicated Physical Control Channel (HS-DPCCH). The HS-DPCCH carries the physical layer uplink control information as follows:
Feedback for the HARQ operation, information on whether a packet was correctly decoded or not, thus carrying positive and negative acknowledgements. In later phases, different post/preambles have also been added to avoid NodeB having to decide between the ACK/NACK and DTX state, thus improving the detection reliability.
Channel Quality Information (CQI) helps the base station scheduler to set correct link adaptation parameters and decide when is a good moment to schedule the transmission for a particular user. The CQI basically gives from the UE an estimate of what kind of data rate could be received reliably in the current conditions the UE is experiencing. Besides the external factors, such as interference from other cells and relative power of the own cell (serving HSDPA cell), the CQI also covers UE internal implementation aspects, such as whether there is an advanced receiver or whether the UE has receiver antenna diversity.
The network can parameterize the HS-DPCCH to also use different power offsets for the different fields carrying CQI and ACK/NACK feedback, as shown in Figure 2.9. It is also worth noting that the HS-DPCCH is never transmitted on its own, but always in connection with the uplink DPCCH. Uplink DPCCH contains pilot symbols and thus provides the necessary phase reference for the NodeB receiver. Besides pilot symbols, the uplink DPCCH carries the downlink power control commands and the Transport Format Combination Indication (TFCI) to inform on the data rate being used on the uplink Dedicated Physical Data Channel (DPDCH). If only HSDPA is operated without HSUPA, all uplink user data is then carried on DPDCH.
Figure 2.9 HS-DPCCH carrying ACK/NACK and CQI feedback
The CQI information does not map directly to a data rate but actually provides an indication of the transport block size, number of codes, and level of modulation which the terminal expects it could receive correctly. This in turn could be mapped to a data rate for the assumed power available for HSDPA use. Depending on the type of UE, the CQI table covers only up to such modulation which the UE can support, after that an offset value is used. For this reason there are multiple CQI tables in [2]. In the first phase of HSDPA introduction the UEs on the market supported only QPSK modulation, but currently the generally supported modulations also include 16QAM, and in many cases also 64QAM. The values indicated by the CQI are not in any way binding for the NodeB scheduler; it does not have to use the parameter combination indicated by the CQI feedback. There are many reasons for deviation from the UE feedback, including sending to multiple UEs simultaneously or having actually different amounts of power available for HSDPA than indicated in the broadcasted value.
2.4 HSDPA Mobility
The mobility with HSDPA is handled differently from Release 99 based DCH. Since the scheduling decisions are done independently in the NodeB scheduler to allow fast reaction to the momentary channel conditions, it would be difficult to follow the Release 99 soft handover (macro diversity) principle with combining time aligned identical transmission from multiple BTS sites. Thus the approach chosen is such that HSDPA data is only provided from a single NodeB or rather by a single cell only, called the serving HSDPA cell. While the UE may still have the soft handover operation for DCH, the HSDPA transmission will take place from only a single NodeB, as shown in Figure 2.10.
Figure 2.10 Operation of HSDPA from a single NodeB only with DCH soft handover
When operating within the active set, the UE shall signal the change of the strongest cell and then the serving HSDPA cell can be changed to another NodeB. If the strongest cell is not part of the active set, then the new cell needs to be added to the active set before HSDPA transmission can take place from that cell. When changing the serving HSDPA cell, the packets in the source NodeB buffer are thrown away once the serving cell change is complete and the RNC will forward the packets not received to the new serving HSDPA cell NodeB, in case Acknowledged Mode (AM) operation of RLC is being used.
2.5 HSDPA UE Capability
In Release 5 a total of 12 UE categories were defined supporting up to 14 Mbps downlink peak data rate. Some of the UE categories were based on the possibility of having the UE receiving data not during consecutive TTIs, but in reality that possibility has not been utilized. In the first phase the products in the market had only QPSK modulation supported, enabling only 1.8 Mbps physical layer peak data rate, but soon implementations with 16QAM also became available enabling first 3.6 Mbps and then later up to 7.2 Mbps or even up to 10 or 14 Mbps. The relevant UE categories, which actually have been introduced to the market in wider scale, are shown in Table 2.1, with all categories given in [3]. The RLC data rates are calculated with 40 bit RLC packet size. In Release 7 3GPP introduced a flexible RLC packet size which allows reduction of the RLC header overhead.
Table 2.1 Release 5 HSDPA UE categories and their L1/RLC peak data rates