Adaptive Beamforming Planning for Multicast mmWave Communication

Xiaoxiao Liu, Haoran Mei, Limei Peng

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

2 Scopus citations

Abstract

Beamforming technology is widely used to increase the antenna gain in a certain direction, so as to compensate for the high attenuation of millimeter wave (mmWave) due to the ultra-high frequency used. BF concentrates the transmission power on a narrow beam for the receiving area and together with mmWave has become the key technology in enabling 5G communications. To more efficiently form the beams to provision numerous mobile users, we consider to use the beamforming multicasting (BM) technology in the downlink communications. We are committed to efficiently assigning beams with adaptive widths to jointly serve unicasting and multicasting users so as to minimize the number of required beams as well as the total amount of transmission power. Specifically, we design an integer linear programming (ILP) model which is subject to constraints of the receiving sensitivity of downlink users, signal-interference-noise ratio (SINR), etc. Numerical results showed that in the proposed ILP model, the total amount of power consumption can be reduced without significantly degrading the total number of successfully served unicasting and multicasting users.

Original languageEnglish
Title of host publicationProceedings - 2020 International Conference on Networking and Network Applications, NaNA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages147-151
Number of pages5
ISBN (Electronic)9781728189543
DOIs
StatePublished - Dec 2020
Event2020 International Conference on Networking and Network Applications, NaNA 2020 - Haikou, China
Duration: 11 Dec 202014 Dec 2020

Publication series

NameProceedings - 2020 International Conference on Networking and Network Applications, NaNA 2020

Conference

Conference2020 International Conference on Networking and Network Applications, NaNA 2020
Country/TerritoryChina
CityHaikou
Period11/12/2014/12/20

Keywords

  • Beamforming
  • mmWave
  • Multicasting
  • SINR

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