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Filippo Malandra
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2020 – today
- 2023
- [j9]Sureel Shah, Sayan Koley
, Filippo Malandra
:
Experimental End-To-End Delay Analysis of LTE Cat-M With High-Rate Synchrophasor Communications. IEEE Internet Things J. 10(22): 19839-19848 (2023) - [j8]Filippo Malandra, Hakim Mellah, Abbas Dehghani Firouzabadi, Constant Wette, Brunilde Sansò:
A Layered and Grid-Based Methodology to Characterize and Simulate IoT Traffic on Advanced Cellular Networks. IEEE Internet Things Mag. 6(1): 134-140 (2023) - [c18]Nicholas Accurso, Nicholas Mastronarde, Filippo Malandra
:
Modelling and Optimization of DRX in Cellular IoT Networks: an MDP Approach. ICC 2023: 6169-6174 - [c17]Anjali Omer, Filippo Malandra
, Jacob Chakareski, Nicholas Mastronarde:
Performance Evaluation of 5G Delay-Sensitive Single-Carrier Multi-User Downlink Scheduling. PIMRC 2023: 1-6 - [c16]Michael Seguin, Anjali Omer, Mohammad Koosha, Filippo Malandra
, Nicholas Mastronarde:
Deep Reinforcement Learning for Downlink Scheduling in 5G and Beyond Networks: A Review. PIMRC 2023: 1-6 - [c15]Biswajit Kumar Dash, Sureel Shah, Filippo Malandra
:
Network Performance Analysis of Smart Grid Communications Over LTE cat-M. SmartGridComm 2023: 1-6 - [c14]Nicholas Accurso, Diptangshu De, Annoy Dey, Nicholas Stokes, Filippo Malandra:
WTTool: A Network Topology Generation and Visualization Platform. WF-IoT 2023: 1-6 - [i3]Payam Abdisarabshali, Nicholas Accurso, Filippo Malandra
, Weifeng Su, Seyyedali Hosseinalipour:
Synergies Between Federated Learning and O-RAN: Towards an Elastic Virtualized Architecture for Multiple Distributed Machine Learning Services. CoRR abs/2305.02109 (2023) - 2022
- [c13]Filippo Malandra
, Mari Silbey, Rolando Alvarez, Bob Cacace, Troy Hege:
Community CBRS Networks - What You Need to Know. FNWF 2022: 228-231 - [i2]Sureel Shah, Sayan Koley, Filippo Malandra
:
Experimental End-To-End Delay Analysis of LTE cat-M With High-Rate Synchrophasor Communications. CoRR abs/2207.04847 (2022) - 2021
- [c12]Soham Desai, Filippo Malandra
:
Delay Estimation of Initial Access procedure for 5G mm-Wave Cellular Networks. DCOSS 2021: 489-494 - [c11]Orestes Manzanilla-Salazar
, Hakim Mellah, Filippo Malandra
, Brunilde Sansò:
An algorithm for threading assignment in large-scale wireless network mobile simulations. DS-RT 2021: 1-10 - [c10]Nicholas Accurso, Nicholas Mastronarde, Filippo Malandra
:
Exploring Tradeoffs between Energy Consumption and Network Performance in Cellular-IoT: a Survey. GLOBECOM 2021: 1-6 - 2020
- [j7]Orestes Manzanilla-Salazar
, Filippo Malandra
, Hakim Mellah
, Constant Wette Tchouati
, Brunilde Sansò
:
A Machine Learning Framework for Sleeping Cell Detection in a Smart-City IoT Telecommunications Infrastructure. IEEE Access 8: 61213-61225 (2020) - [j6]Younes Seyedi
, Houshang Karimi
, Filippo Malandra
, Brunilde Sansò
, Jean Mahseredjian
:
Coordinated Control of Distributed Energy Resources Using Features of Voltage Disturbances. IEEE Trans. Ind. Informatics 16(6): 3895-3904 (2020) - [c9]Richard Samoilenko, Nicholas Accurso, Filippo Malandra
:
A Simulation Study on the Impact of IoT Traffic in a Smart-city LTE Network. PIMRC 2020: 1-6 - [c8]Nikhilesh Sharma, Sen Zhang, Someshwar Rao Somayajula Venkata, Filippo Malandra
, Nicholas Mastronarde
, Jacob Chakareski:
Deep Reinforcement Learning for Delay-Sensitive LTE Downlink Scheduling. PIMRC 2020: 1-6 - [c7]Ajeya Anand, Ranjith Samuel Suresh Kumar, Filippo Malandra
, Zhi Sun, Zhangyu Guan:
UBSpot: A Universal Broadband Flying Hotspot Experimental Testbed Toward Programmable Aerial-Ground Wireless Networks. RWS 2020: 291-294
2010 – 2019
- 2019
- [c6]Orestes Manzanilla-Salazar
, Filippo Malandra
, Brunilde Sansò:
eNodeB Failure Detection from Aggregated Performance KPIs in Smart-city LTE Infrastructures. DRCN 2019: 51-58 - [i1]Orestes Manzanilla-Salazar, Filippo Malandra, Hakim Mellah, Constant Wette, Brunilde Sansò:
A Machine Learning framework for Sleeping Cell Detection in a Smart-city IoT Telecommunications Infrastructure. CoRR abs/1910.01092 (2019) - 2018
- [j5]Filippo Malandra
, Brunilde Sansò:
Performance Evaluation of Large-scale RF-Mesh Networks in a Smart City Context. Mob. Networks Appl. 23(4): 912-920 (2018) - [j4]Filippo Malandra
, Laurent-Olivier Chiquette, L.-P. Lafontaine-Bédard, Brunilde Sansò:
Traffic characterization and LTE performance analysis for M2M communications in smart cities. Pervasive Mob. Comput. 48: 59-68 (2018) - [j3]Filippo Malandra
, Brunilde Sansò:
A Markov-Modulated End-to-End Delay Analysis of Large-Scale RF Mesh Networks With Time-Slotted ALOHA and FHSS for Smart Grid Applications. IEEE Trans. Wirel. Commun. 17(11): 7116-7127 (2018) - [c5]Filippo Malandra
, Reza Pourramezan
, Houshang Karimi, Brunilde Sansò:
Impact of PMU and Smart Meter Applications on the Performance of LTE-based Smart City Communications. PIMRC 2018: 1-6 - 2017
- [j2]Filippo Malandra
, Brunilde Sansò:
A simulation framework for network performance evaluation of large-scale RF-mesh AMIs. Simul. Model. Pract. Theory 75: 165-181 (2017) - [c4]Filippo Malandra
, Steven Rochefort, Pascal Potvin, Brunilde Sansò:
A case study for M2M traffic characterization in a smart city environment. IML 2017: 48:1-48:9 - [c3]Filippo Malandra
, Brunilde Sansò:
Performance analysis of large scale RF-mesh networks for smart cities and IoT. SmartGridComm 2017: 13-18 - 2015
- [c2]Filippo Malandra
, Brunilde Sansò:
Analytical performance analysis of a large-scale RF-mesh smart meter communication system. ISGT 2015: 1-5 - [c1]Filippo Malandra
, Brunilde Sansò:
PeRF-Mesh: A performance analysis tool for large scale RF-mesh-based smart meter networks with FHSS. SmartGridComm 2015: 792-797 - 2012
- [j1]Antonio Capone
, Filippo Malandra
, Brunilde Sansò:
Energy Savings in Wireless Mesh Networks in a Time-Variable Context. Mob. Networks Appl. 17(2): 298-311 (2012)
Coauthor Index
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