A New Resource Allocation Strategy for Avoiding Interference in mmWave Networks

Chih Min Yu, Mohammad Tala't, Li Hsiang Shen, Kai Ten Feng, Esraa Talat, Meng Lin Ku

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

Abstract

In this paper, a new resource allocation strategy is designed to avoid the mainlobe interference (MI) for millimeter wave (mmWave) networks that will maximize the data rate for each UE. To find the best solution with minimum MI, the MI mitigation (MIM) algorithm is proposed which avoids MI for all UEs at each beam based on the identical timeslot. By using the adaptive mini-timeslot design, MIM algorithm will arrange all resource blocks (RBs) among all UEs without using the same timeslot for UEs in each sector. Simulation results show that the proposed MIM algorithm can provide a higher data rate for the uniform scenario compared to the genetic allocation (GA) approach with less complexity. As a result, the MIM strategy can enhance the performance of data rate among all UEs for mmWave networks.

Original languageEnglish
Title of host publication2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages932-933
Number of pages2
ISBN (Electronic)9781665436762
DOIs
StatePublished - 2021
Event10th IEEE Global Conference on Consumer Electronics, GCCE 2021 - Kyoto, Japan
Duration: 12 Oct 202115 Oct 2021

Publication series

Name2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021

Conference

Conference10th IEEE Global Conference on Consumer Electronics, GCCE 2021
Country/TerritoryJapan
CityKyoto
Period12/10/2115/10/21

Keywords

  • MmWave beamforming
  • mainlobe interference
  • resource management

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