Thompson Sampling-based mmWave Codebook Selection

Project: MmWave Codebook Selection in via Multinomial Thompson Sampling

We study the codebook selection problem through a multi-armed bandit (MAB) formulation in mmWave networks with rapidly-varying channels. We develop multiple novel Thompson Sampling-based algorithms for our setting given different codebook structures with theoretical guarantees on regret.

Publication:

Yi Zhang, Soumya Basu, Sanjay Shakkottai, and Robert W. Heath Jr. 2021. MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling. In Mobihoc '21: The Twenty-Second ACM International Symposium on Mobile Ad Hoc Networking and Computing, July 26, 2021, Shanghai, China. ACM, New York, NY, USA. 10 pages. (Best Paper Award Runners-up) [Link][Full version][Slides][Talk]

Presentation