{"title":"3GPP-compliant single-user MIMO model for high-fidelity mobile network simulations","authors":"Biljana Bojović, Sandra Lagén","doi":"10.1016/j.comnet.2024.110912","DOIUrl":null,"url":null,"abstract":"<div><div>MIMO technology has been studied in textbooks for several decades and has been adopted in 4G and 5G systems. In particular, 3GPP 5G has adopted a hybrid beamforming architecture (with digital and analog parts) and a closed-loop MIMO mechanism, through which channel state information (CSI) is acquired at the gNB thanks to precoding matrix indicator (PMI) and rank indicator (RI) reports from the user. In the case of single-user MIMO (SU-MIMO), codebook-based precoding Type-I has been defined. Due to the recent evolution in 5G and beyond networks, designed to cover a wide range of use cases with every time more complex applications, it is essential to have network simulation tools (such as ns-3) that accurately model 5G network capabilities such as MIMO. Up to date, the well-known ns-3 simulator has been missing the inclusion of general and standard-compliant SU-MIMO models for 5G. To cover this gap, in this paper, we propose and implement a 3GPP-compliant closed-loop SU-MIMO simulation model and provide an exhaustive evaluation in the 5G-LENA module of ns-3. As per 3GPP 5G, we adopt a hybrid beamforming architecture, a closed-loop MIMO with PMI and RI reports aligned with 3GPP specifications, and codebook-based precoding following precoding Type-I. The simulation models are released as open-source and currently support up to 32 antenna ports and 4 streams per user. The simulation results presented in this paper help in testing and verifying the simulated models for different antenna configurations. Finally, we analyze the impact of realistic PHY modeling on the computational complexity and discuss some possible optimizations for large-scale network simulations.</div></div>","PeriodicalId":50637,"journal":{"name":"Computer Networks","volume":"256 ","pages":"Article 110912"},"PeriodicalIF":4.4000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Networks","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1389128624007448","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
MIMO technology has been studied in textbooks for several decades and has been adopted in 4G and 5G systems. In particular, 3GPP 5G has adopted a hybrid beamforming architecture (with digital and analog parts) and a closed-loop MIMO mechanism, through which channel state information (CSI) is acquired at the gNB thanks to precoding matrix indicator (PMI) and rank indicator (RI) reports from the user. In the case of single-user MIMO (SU-MIMO), codebook-based precoding Type-I has been defined. Due to the recent evolution in 5G and beyond networks, designed to cover a wide range of use cases with every time more complex applications, it is essential to have network simulation tools (such as ns-3) that accurately model 5G network capabilities such as MIMO. Up to date, the well-known ns-3 simulator has been missing the inclusion of general and standard-compliant SU-MIMO models for 5G. To cover this gap, in this paper, we propose and implement a 3GPP-compliant closed-loop SU-MIMO simulation model and provide an exhaustive evaluation in the 5G-LENA module of ns-3. As per 3GPP 5G, we adopt a hybrid beamforming architecture, a closed-loop MIMO with PMI and RI reports aligned with 3GPP specifications, and codebook-based precoding following precoding Type-I. The simulation models are released as open-source and currently support up to 32 antenna ports and 4 streams per user. The simulation results presented in this paper help in testing and verifying the simulated models for different antenna configurations. Finally, we analyze the impact of realistic PHY modeling on the computational complexity and discuss some possible optimizations for large-scale network simulations.
期刊介绍:
Computer Networks is an international, archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in the computer communications networking area. The audience includes researchers, managers and operators of networks as well as designers and implementors. The Editorial Board will consider any material for publication that is of interest to those groups.