Performance Evaluation of a Millimeter Wave MIMO Hybrid Beamforming System

被引:0
|
作者
Jain, Swarnima [1 ]
Markan, Anhad [2 ]
Markan, C. M. [1 ]
机构
[1] Dayalbagh Educ Inst, Dept Phys & Comp Sci, Agra, Uttar Pradesh, India
[2] Dayalbagh Educ Inst, Dept Elect Engn, Agra, Uttar Pradesh, India
关键词
Massive MIMO; Hybrid beamforming; OMP algorithm; Spectral Efficiency; ARCHITECTURE;
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
Massive MIMO (multiple-input-multiple-output) technology along with beamforming has become the mainstream feature in 5G physical layer technologies to provide high increase in spectral efficiency and to combat the high propagation loss at high frequencies. Unlike conventional MIMO systems where all the signal processing is carried out in the digital domain, Hybrid Analog-Digital (HAD) signal processing or hybrid beamforming has the potential to reduce cost and power consumption. In this paper, a novel hybrid beamforming architecture based on the orthogonal matching pursuit (OMP) algorithm is exploited for a single-user system in which massive antenna array is operated by a limited number of transmit and receive RF chains. A simulation model is studied for performance of the hybrid beamformer compared to conventional digital beamformer of the proposed system. Results show spectral efficiency as performance metric which shows near optimal efficiency using hybrid beamforming weights compared to the digital weights.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Hybrid Beamforming Based on Dictionary Learning for Millimeter Wave MIMO System
    Zhu, Li
    Zhu, Jiang
    Wang, Shilian
    Hu, Li
    Cheng, Qian
    [J]. 2019 IEEE 90TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-FALL), 2019,
  • [2] A deep learning driven hybrid beamforming method for millimeter wave MIMO system
    Chen, Jienan
    Tao, Jiyun
    Luo, Siyu
    Li, Shuai
    Zhang, Chuan
    Xiang, Wei
    [J]. DIGITAL COMMUNICATIONS AND NETWORKS, 2023, 9 (06) : 1291 - 1300
  • [3] AN OPTIMIZED HYBRID BEAMFORMING FOR MILLIMETER WAVE MU-MASSIVE MIMO SYSTEM
    Alquhaif, Saeed Ali Saeed
    Ahmad, Ishtiaq
    Rasheed, Mahnoor
    Raza, Ali
    [J]. 3C TECNOLOGIA, 2019, (SI): : 93 - 107
  • [4] Hybrid Beamforming for Broadband Millimeter Wave Massive MIMO Systems
    Chen, Rui
    Xu, Hui
    Li, Changle
    Zhu, Lina
    Li, Jiandong
    [J]. 2018 IEEE 87TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2018,
  • [5] Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming
    Chung, MinKeun
    Liu, Liang
    Johansson, Andreas
    Nilsson, Martin
    Zander, Olof
    Ying, Zhinong
    Tufvesson, Fredrik
    Edfors, Ove
    [J]. 2020 54TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, 2020, : 309 - 313
  • [6] An adaptive beamforming algorithm for millimeter wave MIMO system
    B. Rajarajeswarie
    R. Sandanalakshmi
    [J]. International Journal of Information Technology, 2024, 16 (5) : 2745 - 2750
  • [7] A Sequential Hybrid Wideband Beamforming in Millimeter Wave MIMO Systems
    Marjan, Shah
    Ullah, Shahid
    Khalid, Muhammad
    [J]. 2019 4TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2019), 2019, : 734 - 740
  • [8] Hybrid Beamforming for Millimeter Wave MIMO Integrated Sensing and Communications
    Qi, Chenhao
    Ci, Wei
    Zhang, Jinming
    You, Xiaohu
    [J]. IEEE COMMUNICATIONS LETTERS, 2022, 26 (05) : 1136 - 1140
  • [9] Adaptive Hybrid Beamforming Schemes in Millimeter Wave MIMO Systems
    Lu, Ang-Yun
    Chen, Yung-Fang
    [J]. 2021 IEEE INTERNATIONAL SYMPOSIUM ON RADIO-FREQUENCY INTEGRATION TECHNOLOGY (RFIT), 2021,
  • [10] Detection for Hybrid Beamforming Millimeter Wave Massive MIMO Systems
    Izadinasab, Kazem
    Shaban, Ahmed Wagdy
    Damen, Oussama
    [J]. IEEE COMMUNICATIONS LETTERS, 2021, 25 (04) : 1168 - 1172