{"title":"Beam Management Based Multi-cell Interference Suppression for Millimeter Wave Communications","authors":"Yaxin Song, Shaoyi Xu","doi":"10.1109/VTC2021-Spring51267.2021.9448763","DOIUrl":null,"url":null,"abstract":"Millimeter wave (mmWave) communications is a promising solution for next-generation systems with a higher data rate. However, due to the narrow beamwidth characteristic of mmWave, inter-cell interference (ICI) is mainly caused by beams used by neighboring cells. In this paper, we aim to maximize the achievable sum rate of users at a mmWave cell in the downlink communication scenario of multi-cell systems. Since the formulated problem is a mixed-integer nonlinear programming problem, we decompose the problem into two subproblems, where one is solved by a multi-cell least beam interference (MLBI) algorithm to mitigate such ICI. And another is to guarantee edge users’ (UEes’) Quality of Service (QoS) and improve the achievable rate through a multi-user multi-beam prioritized power allocation (MPPA) algorithm. Finally, simulations and analyses are conducted to verify the efficiency of the proposed algorithms.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448763","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Millimeter wave (mmWave) communications is a promising solution for next-generation systems with a higher data rate. However, due to the narrow beamwidth characteristic of mmWave, inter-cell interference (ICI) is mainly caused by beams used by neighboring cells. In this paper, we aim to maximize the achievable sum rate of users at a mmWave cell in the downlink communication scenario of multi-cell systems. Since the formulated problem is a mixed-integer nonlinear programming problem, we decompose the problem into two subproblems, where one is solved by a multi-cell least beam interference (MLBI) algorithm to mitigate such ICI. And another is to guarantee edge users’ (UEes’) Quality of Service (QoS) and improve the achievable rate through a multi-user multi-beam prioritized power allocation (MPPA) algorithm. Finally, simulations and analyses are conducted to verify the efficiency of the proposed algorithms.