Transmission probability-based dynamic power control for multi-radio mesh networks

Abstract

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 single directional channel and interference state information. Such studies consider energy-constrained networks with the need to increase the battery life and improve Quos. 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). The transmission power is dynamically adjusted in response to the MAC-TSP measurements in each time slot. Simulation results show that average throughput performance for each radio link can be improved significantly when sufficient MAC information is available to the power control system