Transmission Probability-based Dynamic Power Control for Multi-Radio Mesh Networks

This paper presents an analytical model for the selection of the transmission power based on the bi-directional medium access information. Most of dynamic transmission power control algorithms are based on the uni-directional channel and interference state information. Such studies consider energy-constrained networks with the need to increase the battery life and improve QoS. In this paper, the authors propose a distributed dynamic power control solution based on the knowledge of the PHY and MAC layers' local information for multiple radio WMNs. Each radio interface/link is modelled individually in order to reduce system complexity. The design involves the derivation of a MAC based Transmission Scheduling Probability (MAC-TSP).