Optimal Mobile Relay Beamforming Via Reinforcement Learning

Konstantinos Diamantaras, Athina Petropulu

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

2 Scopus citations

Abstract

We consider the communication of a source-destination pair in a dynamic flat fading channel environment. The communication is aided by mobile relays, which beamform the source signal to the destination. The beamforming weights and the relay positions are optimally selected so that the average Signal-to-Interference and Noise ratio (SINR) at the destination is maximized subject to total relay power constraints. We assume a time slotted system, and model the channels as random fields with a deterministic path loss component with unknown exponent, and random log-normal shadowing and multipath fading components with unknown model parameters. In the beginning of each slot, the relays optimally beamform based on source and destination channel estimates obtained up to their current positions and current time. Then, for the remainder of the slot, the relays optimally select their positions for the next slot beamforming. The relay positions are computed using a reinforcement learning approach, which recursively estimates the channel map in time and space.

Original languageEnglish (US)
Title of host publication2019 IEEE 29th International Workshop on Machine Learning for Signal Processing, MLSP 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728108247
DOIs
StatePublished - Oct 2019
Event29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019 - Pittsburgh, United States
Duration: Oct 13 2019Oct 16 2019

Publication series

NameIEEE International Workshop on Machine Learning for Signal Processing, MLSP
Volume2019-October
ISSN (Print)2161-0363
ISSN (Electronic)2161-0371

Conference

Conference29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019
Country/TerritoryUnited States
CityPittsburgh
Period10/13/1910/16/19

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Signal Processing

Keywords

  • Beamforming
  • Mobile relay network
  • Multi-armed bandits
  • Reinforcement Learning

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