RIS-Aided mmWave Transmission: A Stochastic Majorization-Minimization Approach

Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang, Kok Keong Chai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A fundamental challenge for millimeter wave (mmWave) communications lies in its sensitivity to the presence of blockages, which impact the connectivity of the communication links and ultimately the reliability of the entire network. In this paper, we are exploited to deal with the link outage issue caused by a reconfigurable intelligent surface (RIS)-aided mmWave communication system for enhancing the network reliability and connectivity in the presence of random blockages. To enhance the robustness of the beamforming in the presence of random blockages, we formulate a stochastic optimization problem with the aim of minimizing the outage probability. To tackle the proposed optimization problem, we introduce a low-complexity algorithm based on the stochastic majorization-minimization method, which learns sensible blockage patterns without searching for all combinations of potentially blocked links. Numerical results confirm the performance benefits of the proposed algorithm in terms of outage probability and effective data rate.
Original languageEnglish
Title of host publicationICC 2021 - IEEE International Conference on Communications
Place of PublicationPiscataway
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)9781728171227
ISBN (Print)9781728171234
DOIs
Publication statusPublished - 14 Jun 2021
EventICC 2021 - IEEE International Conference on Communications - Montreal, QC, Canada
Duration: 14 Jun 202123 Jun 2021

Publication series

NameIEEE International Conference on Communications
PublisherIEEE
ISSN (Print)1550-3607
ISSN (Electronic)1938-1883

Conference

ConferenceICC 2021 - IEEE International Conference on Communications
Period14/06/2123/06/21

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