Research Article
GRaTIS: Sensing and Intelligence for Performance in The Presence of Legacy Networks
@INPROCEEDINGS{10.4108/icst.crowncom.2012.248480, author={Dola Saha and Aveek Dutta and Dirk Grunwald and Douglas Sicker}, title={GRaTIS: Sensing and Intelligence for Performance in The Presence of Legacy Networks}, proceedings={7th International Conference on Cognitive Radio Oriented Wireless Networks}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2012}, month={7}, keywords={cross layer design multiuser communication software defined radio}, doi={10.4108/icst.crowncom.2012.248480} }- Dola Saha
Aveek Dutta
Dirk Grunwald
Douglas Sicker
Year: 2012
GRaTIS: Sensing and Intelligence for Performance in The Presence of Legacy Networks
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2012.248480
Abstract
Recent work has examined techniques to estimate the “best” modulation rate for data networks such as OFDM based 802.11a/g. Each rate is effective in a range of signal-to-noise ratios (SNRs) but the limited number of practical rates often force the transmitter to “step down” to a lower data rate despite having higher SNR to the receiver. In this paper we describe, evaluate and implement a practical multiuser communication scheme that transmits two packets in the time normally needed to transmit a single packet, increasing aggregate throughput precisely when it is most needed - when the network is busy and suffers from rate unfairness. Because the method transmits a group of packets simultaneously, we call this scheme Group Rate Transmission with Intertwined Symbols, or GRaTIS. This method uses SNR sensing and knowledge about the network to achieve improved performance in the presence of legacy network members.