Publication View

Distributed Optimization in Wireless Networks Using Broadcast Advantage (2007)

Abstract
In this paper, we study cross-layer design for multicasting in wireless networks by exploiting broadcast advantage. With network coding, a distributed subgradient algorithm for joint congestion control, session scheduling, and network coding is proposed, which requires a centralized scheduling algorithm in general. Under the primary interference model, we find that any valid link schedule corresponds to a hypergraph matching. To solve the scheduling problem distributedly, local greedy, randomized, and hybrid algorithms are proposed. We also modify the randomized algorithm into a constant-time algorithm. With random network coding, we obtain a fully distributed cross-layer design. Our experimental results show promising throughput gain by using our proposed framework, in some cases with less complexity than cross-layer design without broadcast advantage. Lastly, we also extend our framework to the case without network coding.

Publication details
Download http://resolver.caltech.edu/CaltechDEMO:2007.002
Publisher California Institute of Technology
Repository Caltech Computer Science Technical Reports (United States)
Keywords All Records
Type Monograph, NonPeerReviewed
Relation http://caltechcstr.library.caltech.edu/567/01/cdc_hmm.pdf
http://resolver.caltech.edu/CaltechDEMO:2007.002