Cooperative packet recovery in enterprise WLANs

Mahanth Gowda, Souvik Sen, Romit Roy Choudhury, Sung Ju Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations

Abstract

Cooperative packet recovery has been widely investigated in wireless networks, where corrupt copies of a packet are combined to recover the original packet. While previous work such as MRD (Multi Radio Diversity) and Soft apply combining to bits and bit-confidences, combining at the symbol level has been avoided. The reason is rooted in the prohibitive overhead of sharing raw symbol information between different APs of an enterprise WLAN. We present Epicenter that overcomes this constraint, and combines multiple copies of incorrectly received 'symbols' to infer the actual transmitted symbol. Our core finding is that symbols need not be represented in full fidelity - coarse representation of symbols can preserve most of their diversity, while substantially lowering the overhead. We then develop a rate estimation algorithm that actually exploits symbol level combining. Our USRP/GNURadio testbed confirms the viability of our ideas, yielding 40% throughput gain over Soft, and 25-90% over 802.11. While the gains are modest, we believe that they are realistic, and available with minimal modifications to today's EWLAN systems.

Original languageEnglish (US)
Title of host publication2013 Proceedings IEEE INFOCOM 2013
Pages1348-1356
Number of pages9
DOIs
StatePublished - 2013
Event32nd IEEE Conference on Computer Communications, IEEE INFOCOM 2013 - Turin, Italy
Duration: Apr 14 2013Apr 19 2013

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Other

Other32nd IEEE Conference on Computer Communications, IEEE INFOCOM 2013
Country/TerritoryItaly
CityTurin
Period4/14/134/19/13

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Cooperative packet recovery in enterprise WLANs'. Together they form a unique fingerprint.

Cite this