Title
A Framework for Joint Network Coding and Transmission Rate Control in Wireless Networks
Abstract
Network coding has been proposed as a technique that can potentially increase the transport capacity of a wireless network via processing and mixing of data packets at intermediate routers. However, most previous studies either assume a fixed transmission rate or do not consider the impact of using diverse rates on the network coding gain. Since in many cases, network coding implicitly relies on overhearing, the choice of the transmission rate has a big impact on the achievable gains. The use of higher rates works in favor of increasing the native throughput; however, it may in many cases work against effective overhearing. In other words, there is a tension between the achievable network coding gain and the inherent rate gain possible on a link. In this paper our goal is to drive the network towards achieving the best trade-off between these two contradictory effects. Towards this, we design a distributed framework that (a) facilitates the choice of the best rate on each link while considering the need for overhearing and (b) dictates the choice of which decoding recipient will acknowledge the reception of an encoded packet. We demonstrate that both of these features contribute significantly towards gains in throughput. We extensively simulate our framework in a variety of topological settings. We also fully implement it on real hardware and demonstrate its applicability and performance gains via proof-of-concept experiments on our wireless testbed. We show that our framework yields throughput gains of up to 390% as compared to what is achieved in a rate-unaware network coding framework.
Year
DOI
Venue
2010
10.1109/INFCOM.2010.5462127
INFOCOM
Keywords
Field
DocType
data packets,intermediate routers,higher rate,diverse rate,fixed transmission rate,wireless network,joint network coding,inherent rate gain,telecommunication congestion control,rate-unaware network,wireless networks,radio networks,best rate,transmission rate control,framework yields throughput gain,decoding,achievable network,network coding,lifting equipment,government,throughput,topology,encoding,proof of concept,transmitters
Linear network coding,Transmission rate,Wireless network,Lifting equipment,Computer science,Network packet,Computer network,Decoding methods,Throughput,Encoding (memory),Distributed computing
Conference
ISSN
ISBN
Citations 
0743-166X
978-1-4244-5836-3
23
PageRank 
References 
Authors
0.87
18
6
Name
Order
Citations
PageRank
Tae-Suk Kim128515.95
Serdar Vural226119.14
Ioannis Broustis342529.27
Dimitris Syrivelis412415.71
Srikanth Krishnamurthy51919124.08
Thomas F. La Porta6102591.82