The Effects of Topology on Throughput Capacity of Large Scale Wireless Networks

Abstract

Abstract:In this paper, we jointly consider the inhomogeneity and spatial dimension in large scale wireless networks. We study the effects of topology on the throughput capacity. This problem is inherently difficult since it is complex to handle the interference caused by simultaneous transmission. To solve this problem, we, according to the inhomogeneity of topology, divide the transmission into intra-cluster transmission and inter-cluster transmission. For the intra-cluster transmission, a spheroidal percolation model is constructed. The spheroidal percolation model guarantees a constant rate when a power control strategy is adopted. We also propose a cube percolation mode for the inter-cluster transmission. Different from the spheroidal percolation model, a constant transmission rate can be achieved without power control. For both transmissions, we propose a routing scheme with five phases. By comparing the achievable rate of each phase, we get the rate bottleneck, which is the throughput capacity of the network.

Predicting throughput in IEEE 802.11 based wireless networks using directional antenna

“…Moreover, multiple overlapping WLANs arise due to different entities setting up networks unplanned in the same geographical area. As a consequence, the networks saturate due to sensing and interference, and the capacity of network is reached fastly [1][2][3][4]. Adding more APs to the network is a common solution to address this problem but it may not increase the network's capacity beyond a certain limit.…”