Joint Link Rate Selection and Channel State Change Detection in Block-Fading Channels
Haoyue Tang, Xinyu Hou, Jintao Wang, Jian Song

TL;DR
This paper develops a joint channel change detection and rate selection algorithm for block-fading wireless links, improving adaptivity and reducing regret in dynamic environments.
Contribution
It introduces a novel CD-TS algorithm that combines change-point detection with Thompson Sampling for rate selection in block-fading channels.
Findings
Achieves sublinear regret when channel coherence time exceeds a threshold.
Improved algorithm accounts for higher packet-loss at increased transmission rates.
Validated through numerical simulations demonstrating effectiveness.
Abstract
In this work, we consider the problem of transmission rate selection for a discrete time point-to-point block fading wireless communication link. The wireless channel remains constant within the channel coherence time but can change rapidly across blocks. The goal is to design a link rate selection strategy that can identify the best transmission rate quickly and adaptively in quasi-static channels. This problem can be cast into the stochastic bandit framework, and the unawareness of time-stamps where channel changes necessitates running change-point detection simultaneously with stochastic bandit algorithms to improve adaptivity. We present a joint channel change-point detection and link rate selection algorithm based on Thompson Sampling (CD-TS) and show it can achieve a sublinear regret with respect to the number of time steps when the channel coherence time is larger than a…
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Taxonomy
TopicsAdvanced Bandit Algorithms Research · Advanced Wireless Network Optimization · Cognitive Radio Networks and Spectrum Sensing
