Fast Reconfigurable Antenna State Selection with Hierarchical Thompson Sampling

Tianchi Zhao, Ming Li, Matthias Poloczek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Reconfigurable antennas (RAs) arised as a promising antenna technology which can adapt to channel variations and enhance wireless link capacity. To fully take advantage of RA's benefits, optimal antenna states need to be selected on-the-fly. However the channel statistics are unknown a priori. Multi-armed bandit (MAB) algorithms have been adopted to cope with this challenge, however the main drawback of existing approaches is that their regret scales linearly with the number of candidate antenna states and converges slowly with time. In this paper, we propose a novel Hierarchical Thompson Sampling (HTS) algorithm. HTS divides the arms into multiple clusters, first uses TS to sample a cluster and then samples an individual arm inside that cluster. Then we apply HTS to anntena state selection, and propose a K-means based antenna state clustering strategy by exploiting antenna radiation pattern correlation. Simulation results using a real-world RA's radiation patterns show that our HTS algorithm can substantially improve the convergence rate and enjoys much lower expected regret than existing schemes, especially for a large number of antenna states.

Original languageEnglish (US)
Title of host publication2019 IEEE International Conference on Communications, ICC 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538680889
DOIs
StatePublished - May 2019
Event2019 IEEE International Conference on Communications, ICC 2019 - Shanghai, China
Duration: May 20 2019May 24 2019

Publication series

NameIEEE International Conference on Communications
Volume2019-May
ISSN (Print)1550-3607

Conference

Conference2019 IEEE International Conference on Communications, ICC 2019
Country/TerritoryChina
CityShanghai
Period5/20/195/24/19

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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