{"title":"基于波束管理的毫米波通信多小区干扰抑制","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":"{\"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}","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}
Beam Management Based Multi-cell Interference Suppression for Millimeter Wave Communications
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.