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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/6613
Title: Scaling laws on multicast capacity of large scale wireless networks
Authors: Wang, Cheng
Li, Xiang-Yang
Jiang, Changjun
Tang, Shaojie
Liu, Yunhao
Zhao, Jizhong
Keywords: Multicast capacity
Percolation
Wireless ad hoc networks
Random networks
Achievable throughput
Issue Date: Apr-2009
Citation: Proceedings IEEE INFOCOM 2009. The 28th Conference on Computer Communications, Rio de Janeiro, Brazil, 19-25 April 2009, p. 1863-1871.
Abstract: In this paper, we focus on the networking-theoretic multicast capacity for both random extended networks (REN) and random dense networks (RDN) under Gaussian Channel model, when all nodes are individually power-constrained. During the transmission, the power decays along path with the attenuation exponent α > 2. In REN and RDN, n nodes are randomly distributed in the square region with side-length √n and 1, respectively. We randomly choose ns nodes as the sources of multicast sessions, and for each source v, we pick uniformly at random nd nodes as the destination nodes. Based on percolation theory, we propose multicast schemes and analyze the achievable throughput by considering all possible values of ns and nd. As a special case of our results, we show that for ns = Θ(n), the per-session multicast capacity of RDN is Θ(1/√ndn) when nd = Ο(n/(log n)3) and is Θ(1/n) when nd = Ω(n/log n); the per-session multicast capacity of REN is Θ(1/√ndn) when nd = Ο(n/(log n) α+1) and is Θ(1/nd·(log n)-α/2) when nd = Ω(n/log n).
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URI: http://hdl.handle.net/1783.1/6613
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