TY - CONF
T1 - Accurate
T2 - 7th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2010
AU - Sen, Souvik
AU - Choudhury, Romit Roy
AU - Santhapuri, Naveen
AU - Nelakuditi, Srihari
N1 - Funding Information:
We sincerely thank our shepherd Hari Balakrishnan, as well as the anonymous reviewers, for their valuable feedback on this paper. We also thank Mythili Vutukuru for her invaluable help with SoftRate implementation. We are also grateful to NSF for partially funding this research through the following grants – CNS-0448272, CNS-0917020, CNS-0916995, and CNS-0747206.
Funding Information:
We sincerely thank our shepherd Hari Balakrishnan, as well as the anonymous reviewers, for their valuable feedback on this paper. We also thank Mythili Vutukuru for her invaluable help with SoftRate implementation. We are also grateful to NSF for partially funding this research through the following grants - CNS-0448272, CNS-0917020, CNS-0916995, and CNS-0747206.
Publisher Copyright:
© Proceedings of NSDI 2010: 7th USENIX Symposium on Networked Systems Design and Implementation. All rights reserved.
PY - 2010
Y1 - 2010
N2 - This paper proposes to exploit physical layer information towards improved rate selection in wireless networks. While existing schemes pick good transmission rates, this paper takes a step further towards computing the optimal bit rate. The main idea is to capture the channel behavior through symbol level dispersions, and “replay” these dispersions on different rate encodings of the same packet. The “replay” action can be emulated at the receiver without requiring the transmitter to send the packet at every other rate. The maximum successful rate is likely to be the optimal rate of the received packet, and assuming that the channel remains coherent, the same rate can be prescribed for the next transmission. We design, implement, and evaluate this idea over a small testbed of USRP hardware and GNURadio software. Our proposal, called AccuRate, predicts a packet's optimal rate 95% of times when the packet is received correctly. When the packet is received in error, AccuRate computes its optimal rate with 93% accuracy. In terms of throughput, we show that AccuRate improves over the state-of-the-art scheme SoftRate by around 10%, and is reasonably close to the optimal.
AB - This paper proposes to exploit physical layer information towards improved rate selection in wireless networks. While existing schemes pick good transmission rates, this paper takes a step further towards computing the optimal bit rate. The main idea is to capture the channel behavior through symbol level dispersions, and “replay” these dispersions on different rate encodings of the same packet. The “replay” action can be emulated at the receiver without requiring the transmitter to send the packet at every other rate. The maximum successful rate is likely to be the optimal rate of the received packet, and assuming that the channel remains coherent, the same rate can be prescribed for the next transmission. We design, implement, and evaluate this idea over a small testbed of USRP hardware and GNURadio software. Our proposal, called AccuRate, predicts a packet's optimal rate 95% of times when the packet is received correctly. When the packet is received in error, AccuRate computes its optimal rate with 93% accuracy. In terms of throughput, we show that AccuRate improves over the state-of-the-art scheme SoftRate by around 10%, and is reasonably close to the optimal.
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M3 - Paper
AN - SCOPUS:85076765582
SP - 175
EP - 189
Y2 - 28 April 2010 through 30 April 2010
ER -