Subgroup-Centric Multicast Cell-Free Massive MIMO

被引:0
|
作者
de la Fuente, Alejandro [1 ]
Femenias, Guillem [2 ]
Riera-Palou, Felip [2 ]
Interdonato, Giovanni [3 ]
机构
[1] Univ Rey Juan Carlos, Dept Signal Theory & Commun, Fuenlabrada 28942, Spain
[2] Univ Balear Isl, Mobile Commun Grp, Palma De Mallorca 07122, Spain
[3] Univ Cassino & Southern Lazio, Dept Elect & Informat Engn, I-03043 Cassino, Italy
来源
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY | 2024年 / 5卷
关键词
Precoding; Unicast; Multicast communication; Channel estimation; 6G mobile communication; Spectral efficiency; Resource management; Reliability; Massive MIMO; Internet of Things; Cell-free massive MIMO; multicasting; user subgrouping; scalability; COVARIANCE-MATRIX ESTIMATION; SYSTEMS; CHALLENGES; ALLOCATION; NETWORKS; VISION; 5G;
D O I
10.1109/OJCOMS.2024.3487912
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Cell-free massive multiple-input multiple-output (CF-mMIMO) is an emerging technology for beyond fifth-generation (5G) systems aimed at enhancing the energy and spectral efficiencies of future mobile networks while providing nearly uniform quality of service to all users. Moreover, multicasting has garnered increasing attention in recent years, as physical-layer multicasting proves to be an efficient approach for serving multiple users simultaneously, all with identical service demands while sharing radio resources. A multicast service is typically delivered using either unicast or a single multicast transmission. In contrast, this work introduces a subgroup-centric multicast CF-mMIMO framework that splits the users into several multicast subgroups. The subgroup creation is based on the similarities in the spatial channel characteristics of the multicast users. This framework benefits from efficiently sharing the pilot sequence used for channel estimation and the precoding filters used for data transmission. The proposed framework relies on two scalable precoding strategies, namely, the centralized improved partial MMSE (IP-MMSE) and the distributed conjugate beamforming (CB). Numerical results demonstrate that the centralized IP-MMSE precoding strategy outperforms the CB precoding scheme in terms of sum SE when multicast users are uniformly distributed across the service area. In contrast, in cases where users are spatially clustered, multicast subgrouping significantly enhances the sum spectral efficiency (SE) of the multicast service compared to both unicast and single multicast transmission. Interestingly, in the latter scenario, distributed CB precoding outperforms IP-MMSE, particularly in terms of per-user SE, making it the best solution for delivering multicast content. Heterogeneous scenarios that combine uniform and clustered distributions of users validate multicast subgrouping as the most effective solution for improving both the sum and per-user SE of a multicast CF-mMIMO service.
引用
收藏
页码:6872 / 6889
页数:18
相关论文
共 50 条
  • [21] Decentralized Massive Access Random Scheme in User-Centric Cell-free Massive MIMO System
    Hu, Yanfeng
    Wang, Dongming
    Xia, Xinjiang
    You, Xiaohu
    2024 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC 2024, 2024,
  • [22] User-Centric Cell-Free Massive MIMO for IoT in Highly Dynamic Environments
    Li, Huafu
    Wang, Yang
    Sun, Chenyang
    Wang, Zhenyong
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (05): : 8658 - 8675
  • [23] User-centric Handover in mmWave Cell-Free Massive MIMO with User Mobility
    D'Andrea, Carmen
    Interdonato, Giovanni
    Buzzi, Stefano
    29TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2021), 2021, : 925 - 929
  • [24] User-Centric Clustering for Uplink Cell-Free Massive MIMO URLLC Systems
    Wang, Jingchen
    Fang, Jiaxing
    Chen, Li
    Guo, Haiyou
    Shu, Feng
    Zhu, Pengcheng
    2024 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC, 2024,
  • [25] Suppressing Pilot Contamination for Massive Access in User-centric Cell-free Massive MIMO Systems
    Sarker, Manobendu
    Fapojuwo, Abraham O.
    2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING), 2022,
  • [26] Fairness Scheduling in User-Centric Cell-Free Massive MIMO Wireless Networks
    Gottsch, Fabian
    Osawa, Noboru
    Kanno, Issei
    Ohseki, Takeo
    Caire, Giuseppe
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (09) : 11942 - 11957
  • [27] Evaluation of Uplink Capacity of User-Cluster-Centric Cell-Free massive MIMO
    Takahashi, Ryo
    Matsuo, Hidenori
    Xia, Sijie
    Chen, Qiang
    Adachi, Fumiyuki
    2022 IEEE 96TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-FALL), 2022,
  • [28] Beam Alignment in mmWave User-Centric Cell-Free Massive MIMO Systems
    Buzzi, Stefano
    D'Andrea, Carmen
    Fresia, Maria
    Wu, Xiaofeng
    2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2021,
  • [29] User-Centric Cell-Free Massive MIMO System for Indoor Industrial Networks
    Zhang, Haijun
    Su, Renwei
    Zhu, Yongxu
    Long, Keping
    Karagiannidis, George K.
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2022, 70 (11) : 7644 - 7655
  • [30] Scalable Pilot Assignment for User-Centric Cell-Free Massive MIMO Networks
    Ren, Zhihan
    Doufexi, Angela
    Beach, Mark A.
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022, : 2555 - 2560