Medium Access Control protocol for Collaborative Spectrum Learning in Wireless Networks
Abstract
In recent years there is a growing effort to provide learning algorithms for spectrum collaboration. In this paper we present a medium access control protocol which allows spectrum collaboration with minimal regret and high spectral efficiency in highly loaded networks. We present a fully-distributed algorithm for spectrum collaboration in congested ad-hoc networks. The algorithm jointly solves both the channel allocation and access scheduling problems. We prove that the algorithm has an optimal logarithmic regret. Based on the algorithm we provide a medium access control protocol which allows distributed implementation of the algorithm in ad-hoc networks. The protocol utilizes single-channel opportunistic carrier sensing to carry out a low-complexity distributed auction in time and frequency. We also discuss practical implementation issues such as bounded frame size and speed of convergence. Computer simulations comparing the algorithm to state-of-the-art distributed medium access control protocols show the significant advantage of the proposed scheme.
Cite
@article{arxiv.2111.12581,
title = {Medium Access Control protocol for Collaborative Spectrum Learning in Wireless Networks},
author = {Tomer Boyarski and Wenbo Wang and Amir Leshem},
journal= {arXiv preprint arXiv:2111.12581},
year = {2024}
}