General capacity scaling of wireless networks

—We study the general scaling laws of the capacity for random wireless networks under the generalized physical model. The generality of this work is embodied in three dimensions denoted by (λ ∈ [1, n], nd ∈ [1, n], ns ∈ (1, n]). It means that: (1) We study the random network of a general node density λ ∈ [1, n], rather than only study either random dense network (RDN, λ = n) or random extended network (REN, λ = 1) as in most existing works. (2) We focus on the multicast capacity to unify unicast and broadcast capacities by setting the number of destinations of each session nd ∈ [1, n]. (3) We allow the number of sessions changing in the range ns ∈ (1, n], rather than assuming that ns = Θ(n) as in most existing works. We derive the general lower and upper bounds on the capacity for the arbitrary case of (λ, nd, ns). Particularly, when the general results are applied to the special cases (λ = 1, nd ∈ [1, n], ns = n) and (λ = n, nd ∈ [1, n], ns = n), we show that...

• Type: Journal
• Year: 2011
• Where: INFOCOM
• Authors: Cheng Wang, Changjun Jiang, Xiang-Yang Li, ShaoJie Tang, Panlong Yang
• Keywords: Communications, Dense Network, INFOCOM 2011, Physical Model, Random Network