Achieving Energy-Efficient Massive URLLC Over Cell-Free Massive MIMO

被引:13
|
作者
Zeng, Jie [1 ,2 ,3 ]
Wu, Teng [1 ,4 ]
Song, Yuxin [1 ,4 ]
Zhong, Yi [5 ]
Lv, Tiejun [6 ]
Zhou, Shidong [7 ]
机构
[1] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China
[2] Beijing Inst Technol, Sch Cyberspace Sci & Technol, Beijing 100081, Peoples R China
[3] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[4] Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol, Beijing 100084, Peoples R China
[5] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
[6] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
[7] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
K-mu; shadowed fading; cell-free massive multiple-input multiple-output (MIMO); energy-efficient massive ultra-reliable and low-latency communications (E-2-mURLLC); finite blocklength (FBL); simple path-loss decoding (S-PLD); LOW-LATENCY COMMUNICATIONS; BLIND CHANNEL ESTIMATION; KAPPA-MU; STATISTICAL CHARACTERIZATION; WIRELESS COMMUNICATION; TRANSMISSION; INTERNET; ACCESS;
D O I
10.1109/JIOT.2023.3293008
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Achieving energy-efficient massive ultrareliable and low-latency communications (E2-mURLLC) is a promising application prospect for sixth-generation (6G) mobile communication networks. However, there are some insurmountable obstacles, such as a large number of potential users, complex and diverse small-scale and shadow fading, and stringent energy efficiency (EE), reliability, and latency requirements. Considering the above obstacles, we propose a cell-free massive multiple-input- multiple-output (MIMO) architecture based on the K-mu, shadowed fading model, and maximum-ratio combining (MRC) multiuser detection with simple path-loss decoding (S-PLD) to achieve the simultaneous optimization of EE, latency, and reliability. Furthermore, the finite blocklength information theory is used to uncover the relationship among EE, reliability, latency, and achievable data rate when the packet size is small. Simulation results show that compared with the massive MIMO architecture, using our architecture with MRC multiuser detection and S-PLD can support a threefold increase in the number of access users, reduce transmit power by 90%, achieve a nearly 100 times reliability enhancement, and shorten transmission latency by 23.3%. Consequently, a cell-free massive MIMO system with MRC multiuser detection and S-PLD, as a considerable significant potential to facilitate the advancement from URLLC to E2-mURLLC, is promising to support some time-sensitive applications with massive access, such as unmanned aerial vehicles, the Industrial Internet of Things and vehicle-to-vehicle communications.
引用
收藏
页码:2198 / 2210
页数:13
相关论文
共 50 条
  • [31] Energy-efficient power allocation in cell-free massive MIMO with zero-forcing: First order methods
    Mai, Trang C.
    Ngo, Hien Quoc
    Tran, Le-Nam
    PHYSICAL COMMUNICATION, 2022, 51
  • [32] Energy-Efficient Non-Orthogonal Multicast and Unicast Transmission of Cell-Free Massive MIMO Systems With SWIPT
    Tan, Fangqing
    Wu, Peiran
    Wu, Yik-Chung
    Xia, Minghua
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021, 39 (04) : 949 - 968
  • [33] Uplink Cell-Free Massive MIMO URLLC Systems with User Mobility and Imperfect CSI
    Kurma, Sravani
    Singh, Keshav
    Sharma, Prabhat Kumar
    Li, Chih-Peng
    Tsiftsis, Theodoros A.
    ICC 2023-IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2023, : 4317 - 4322
  • [34] Resource Allocation for Cell-Free Massive MIMO-Enabled URLLC Downlink Systems
    Peng, Qihao
    Ren, Hong
    Pan, Cunhua
    Liu, Nan
    Elkashlan, Maged
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (06) : 7669 - 7684
  • [35] Local PAPR-Aware Precoding for Energy-Efficient Cell-Free Massive MIMO-OFDM Systems
    Zayani, Rafik
    Dore, Jean-Baptiste
    Miscopein, Benoit
    Demmer, David
    IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2023, 7 (03): : 1267 - 1284
  • [36] Joint Power Optimization and Subcarrier Allocation for URLLC in Cell-Free Massive MIMO System
    Cao, Longlong
    Fang, Jiaxing
    Wang, Yan
    Zhu, Pengcheng
    IEEE COMMUNICATIONS LETTERS, 2024, 28 (10) : 2323 - 2327
  • [37] 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,
  • [38] Edge-Assisted Massive Video Delivery Over Cell-Free Massive MIMO
    Wang, Zhaoyang
    Liu, Guanghua
    Zhang, Dongchen
    Hua, Xinhai
    Xu, Lingmin
    Gao, Peng
    Jiang, Tao
    IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 25 : 8566 - 8579
  • [39] Resource Allocation for Uplink Cell-Free Massive MIMO Enabled URLLC in a Smart Factory
    Peng, Qihao
    Ren, Hong
    Pan, Cunhua
    Liu, Nan
    Elkashlan, Maged
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2023, 71 (01) : 553 - 568
  • [40] Cell-Free Massive MIMO in LoS
    Yang, Hong
    2021 IEEE 32ND ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2021,