{"title":"从蜂窝到自由:6G的进化转变与无蜂窝的大规模MIMO","authors":"Guillem Femenias;Felip Riera-Palou","doi":"10.1109/TMC.2024.3468003","DOIUrl":null,"url":null,"abstract":"Cell-free massive MIMO (CF-mMIMO) is emerging as a technological pillar for future sixth generation (6G) mobile networks, promising consistently high spectral and energy efficiencies across the coverage area. Despite the reported advantages of CF-mMIMO over traditional cellular-based massive MIMO (mMIMO), the extensive deployment of access points (APs) and the associated fronthaul links present significant economic and logistical challenges. This paper proposes a transitional framework to facilitate the gradual integration of CF-mMIMO into existing cellular infrastructures, allowing mobile network operators to progressively realize the benefits of a distributed network topology. A comprehensive analysis of the spectral, energy, and computational efficiencies in heterogeneous network scenarios, incorporating both macrocellular and cell-free components, is presented. Our contributions include a unified assessment framework encompassing spectral, energy and computational aspects, a novel channel virtualization mechanism for effective downlink precoding, and a realistic industry-backed power consumption model for joint network operation. The potential performance gains are demonstrated and guidelines for the incremental deployment of CF-mMIMO are provided through detailed numerical results, ensuring a balanced trade-off between integration costs and operational benefits. This approach aims to leverage the capabilities of emerging network architectures to achieve a seamless evolution towards fully distributed 6G networks.","PeriodicalId":50389,"journal":{"name":"IEEE Transactions on Mobile Computing","volume":"24 2","pages":"812-829"},"PeriodicalIF":7.7000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"From Cells to Freedom: 6G's Evolutionary Shift With Cell-Free Massive MIMO\",\"authors\":\"Guillem Femenias;Felip Riera-Palou\",\"doi\":\"10.1109/TMC.2024.3468003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cell-free massive MIMO (CF-mMIMO) is emerging as a technological pillar for future sixth generation (6G) mobile networks, promising consistently high spectral and energy efficiencies across the coverage area. Despite the reported advantages of CF-mMIMO over traditional cellular-based massive MIMO (mMIMO), the extensive deployment of access points (APs) and the associated fronthaul links present significant economic and logistical challenges. This paper proposes a transitional framework to facilitate the gradual integration of CF-mMIMO into existing cellular infrastructures, allowing mobile network operators to progressively realize the benefits of a distributed network topology. A comprehensive analysis of the spectral, energy, and computational efficiencies in heterogeneous network scenarios, incorporating both macrocellular and cell-free components, is presented. Our contributions include a unified assessment framework encompassing spectral, energy and computational aspects, a novel channel virtualization mechanism for effective downlink precoding, and a realistic industry-backed power consumption model for joint network operation. The potential performance gains are demonstrated and guidelines for the incremental deployment of CF-mMIMO are provided through detailed numerical results, ensuring a balanced trade-off between integration costs and operational benefits. This approach aims to leverage the capabilities of emerging network architectures to achieve a seamless evolution towards fully distributed 6G networks.\",\"PeriodicalId\":50389,\"journal\":{\"name\":\"IEEE Transactions on Mobile Computing\",\"volume\":\"24 2\",\"pages\":\"812-829\"},\"PeriodicalIF\":7.7000,\"publicationDate\":\"2024-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Mobile Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10693530/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Mobile Computing","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10693530/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
From Cells to Freedom: 6G's Evolutionary Shift With Cell-Free Massive MIMO
Cell-free massive MIMO (CF-mMIMO) is emerging as a technological pillar for future sixth generation (6G) mobile networks, promising consistently high spectral and energy efficiencies across the coverage area. Despite the reported advantages of CF-mMIMO over traditional cellular-based massive MIMO (mMIMO), the extensive deployment of access points (APs) and the associated fronthaul links present significant economic and logistical challenges. This paper proposes a transitional framework to facilitate the gradual integration of CF-mMIMO into existing cellular infrastructures, allowing mobile network operators to progressively realize the benefits of a distributed network topology. A comprehensive analysis of the spectral, energy, and computational efficiencies in heterogeneous network scenarios, incorporating both macrocellular and cell-free components, is presented. Our contributions include a unified assessment framework encompassing spectral, energy and computational aspects, a novel channel virtualization mechanism for effective downlink precoding, and a realistic industry-backed power consumption model for joint network operation. The potential performance gains are demonstrated and guidelines for the incremental deployment of CF-mMIMO are provided through detailed numerical results, ensuring a balanced trade-off between integration costs and operational benefits. This approach aims to leverage the capabilities of emerging network architectures to achieve a seamless evolution towards fully distributed 6G networks.
期刊介绍:
IEEE Transactions on Mobile Computing addresses key technical issues related to various aspects of mobile computing. This includes (a) architectures, (b) support services, (c) algorithm/protocol design and analysis, (d) mobile environments, (e) mobile communication systems, (f) applications, and (g) emerging technologies. Topics of interest span a wide range, covering aspects like mobile networks and hosts, mobility management, multimedia, operating system support, power management, online and mobile environments, security, scalability, reliability, and emerging technologies such as wearable computers, body area networks, and wireless sensor networks. The journal serves as a comprehensive platform for advancements in mobile computing research.