A framework for joint scheduling and div

Recently, interest has arisen in the use of realistic interference models for transmission scheduling in wireless multihop networks, particularly in mesh networks where throughput is a significant concern. This paper aims to develop a uniform framework for transmission scheduling by leveraging diverse wireless resources while considering multiple channels, directional antennas, and transmit power control. We apply the SINR-based physical interference model to devise an efficient heuristic for computing a diversity-exploiting schedule, grounded on a novel network saturation metric. Our proof establishes that, under uniform random node distributions, the proposed heuristic's scheduling output approaches optimality with a high probability as network size increases. Furthermore, simulation results demonstrate the algorithm's effectiveness in achieving up to a tenfold throughput enhancement in scenarios lacking diversity. The findings also provide insights into how diversity exploitation can significantly mitigate or altogether eliminate interference, thus contributing to the advancement of scheduling techniques in wireless mesh networks.