DocumentCode
2334291
Title
A Greedy Link Scheduler for Wireless Networks with Gaussian Multiple Access and Broadcast Channels
Author
Sridharan, Arun ; Koksal, C. Emre ; Uysal-Biyikoglu, Elif
Author_Institution
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
fYear
2010
fDate
14-19 March 2010
Firstpage
1
Lastpage
9
Abstract
Information theoretic Broadcast Channels (BC) and Multiple Access Channels (MAC) enable a single node to transmit data simultaneously to multiple nodes, and multiple nodes to transmit data simultaneously to a single node respectively. In this paper, we address the problem of link scheduling in multihop wireless networks containing nodes with BC and MAC capabilities. We first propose an interference model that extends protocol interference models, originally designed for point to point channels, to include the possibility of BC and MAC. Due to the high complexity of optimal link schedulers, we introduce the Multiuser Greedy Maximum Weight algorithm for link scheduling in multihop wireless networks containing BCs and MACs. Given a network graph, we develop new local pooling conditions} and show that the performance of our algorithm can be fully characterized using the associated parameter, the multiuser local pooling factor. We provide examples of some network graphs, on which we apply local pooling conditions and derive the multiuser local pooling factor. We prove optimality of our algorithm in tree networks and show that the exploitation of BCs and MACs improve the throughput performance considerably in multihop wireless networks.
Keywords
Gaussian channels; broadcast channels; greedy algorithms; multi-access systems; radio access networks; scheduling; telecommunication links; Gaussian multiple access channels; Wireless Networks; broadcast channels; greedy link scheduler; link scheduling; multihop wireless networks; multiuser greedy maximum weight algorithm; protocol interference models; Broadcasting; Information theory; Interference constraints; Optimal scheduling; Peer to peer computing; Scheduling algorithm; Spread spectrum communication; Throughput; Tree graphs; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM, 2010 Proceedings IEEE
Conference_Location
San Diego, CA
ISSN
0743-166X
Print_ISBN
978-1-4244-5836-3
Type
conf
DOI
10.1109/INFCOM.2010.5462118
Filename
5462118
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