Spectral Efficient Generalized Spatial Modulation Aided MmWave Massive MIMO

被引:0
|
作者
He, Longzhuang [1 ,2 ]
Wang, Jintao [1 ,2 ]
Pan, Changyong [1 ,2 ]
Song, Jian [1 ,2 ]
机构
[1] Dept Elect Engn, Beijing 100084, Peoples R China
[2] Tsinghua Natl Lab Informat Sci & Technol TNList, Beijing 100084, Peoples R China
来源
GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE | 2017年
基金
中国国家自然科学基金;
关键词
Generalized spatial modulation; millimeter-wave communication; massive MIMO; digital beamforming; spectral efficiency analysis; CHANNELS; SYSTEMS;
D O I
暂无
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
In this paper, a novel generalized spatial modulation (GenSM)-aided millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) system is proposed for indoor transmission over line-of-sight (LoS) channels. Unlike the conventional GenSM-based mmWave systems, the application of digital beamforming (DBF) and the impact of spatial-domain codebooks are explored in our work. More specifically, we first propose a closed-form lower bound for quantifying the achievable spectral efficiency (SE) of our system. Then we seek to optimize the spatial-domain codebook and DBF design with respect to SE maximization. Lastly, numerical simulations are provided to substantiate the performance gain achieved by the proposed system compared against the conventional spatial multiplexing (SMX) MIMO schemes with waterfilling precoding.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] LR-aided sphere decoding of generalized spatial modulation signals
    Daryanavardan, Negar
    Derakhtian, Mostafa
    Neinavaie, Mohammad
    Gazor, Saeed
    AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2019, 109 : 8 - 16
  • [42] Energy-Efficient Power Allocation in Uplink mmWave Massive MIMO With NOMA
    Zeng, Ming
    Hao, Wanming
    Dobre, Octavia A.
    Poor, H. Vincent
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (03) : 3000 - 3004
  • [43] Cluster Index Modulation for Reconfigurable Intelligent Surface-Assisted mmWave Massive MIMO
    Raeisi, Mahmoud
    Koc, Asil
    Yildirim, Ibrahim
    Basar, Ertugrul
    Le-Ngoc, Tho
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (02) : 1581 - 1591
  • [44] Multiuser Detection in Massive Spatial Modulation MIMO With Low-Resolution ADCs
    Wang, Shengchu
    Li, Yunzhou
    Wang, Jing
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (04) : 2156 - 2168
  • [45] Spectral-Efficient Model for Multiuser Massive MIMO: Exploiting User Velocity
    Vu, Thang X.
    Trinh Anh Vu
    Chatzinotas, Symeon
    Ottersten, Bjorn
    2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
  • [46] Efficient Ray-Tracing Simulation for Near-Field Spatial Non-Stationary mmWave Massive MIMO Channel and Its Experimental Validation
    Yuan, Zhiqiang
    Zhang, Jianhua
    Degli-Esposti, Vittorio
    Zhang, Yuxiang
    Fan, Wei
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (08) : 8910 - 8923
  • [47] Encoding and Decoding for mmWave Massive MIMO Systems
    Albreem, Mahmoud A. M.
    El-Saleh, Ayman A.
    Salah, Wael A.
    Jusoh, M.
    Azizan, M.
    2019 6TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ICEEE 2019), 2019, : 162 - 166
  • [48] Spatial Modulation for Multi-User Massive MIMO Systems
    Uluocak, Seyfettin
    Basar, Ertugrul
    2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2017,
  • [49] A Survey of Federated Learning for mmWave Massive MIMO
    Nugroho, Vendi Ardianto
    Lee, Byung Moo
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (16): : 27167 - 27183
  • [50] Spatial and Spectral Resource Allocation for Energy-Efficient Massive MIMO 5G Networks
    Marwaha, Siddarth
    Jorswieck, Eduard A.
    Lopez-Perez, David
    Geng, Xinli
    Bao, Harvey
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022, : 135 - 140