Hybrid Beamforming for Wideband Millimeter Wave MIMO Integrated Sensing and Communications

被引:0
|
作者
Guo, Junpeng [1 ]
Qi, Chenhao [1 ]
机构
[1] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Peoples R China
基金
中国国家自然科学基金;
关键词
Radio frequency; Array signal processing; Phase shifters; Vectors; Integrated sensing and communication; Wideband; Signal to noise ratio; Optimization; Interference; Frequency modulation; Alternating direction method of multipliers; integrated sensing and communications; second-order cone programming; wideband hybrid beamforming;
D O I
10.1109/LCOMM.2024.3524498
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this letter, we propose a true-time-delayer network assisted hybrid beamforming scheme for wideband millimeter wave multiple-input multiple-output integrated sensing and communications. By jointly optimizing the digital beamformer, the true-time-delayer network and the phase shifter network, we aim at making the sum of beam patterns across all subcarriers approach a predefined sensing beam pattern, subject to the constraints of the signal-to-interference-plus-noise ratio requirements of communication users and the maximum transmit power of the base station. To improve the design flexibility, the sensing beam pattern is distributed among different subcarriers for optimization, with phase vectors introduced to transform the modulus summation into a linear summation. Additionally, by decoupling the multi-variable constraint, we employ the alternating direction method of multipliers to decompose the original problem into manageable subproblems, which are iteratively optimized. Simulation results demonstrate that the proposed scheme outperforms existing hybrid beamforming schemes in terms of beam pattern and sensing performance.
引用
收藏
页码:462 / 466
页数:5
相关论文
共 50 条
  • [21] Hybrid Beamforming Designs for Massive MIMO Millimeter Wave Heterogeneous Systems
    Castanheira, Daniel
    Lopes, Pedro
    Silva, Adao
    Gameiro, Atilio
    IEEE ACCESS, 2017, 5 : 21806 - 21817
  • [22] Hybrid Beamforming/Combining for Millimeter Wave MIMO: A Machine Learning Approach
    Chen, Jienan
    Feng, Wei
    Xing, Jing
    Yang, Ping
    Sobelman, Gerald E.
    Lin, Dengsheng
    Li, Shaoqian
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (10) : 11353 - 11368
  • [23] Hybrid Beamforming Based on Dictionary Learning for Millimeter Wave MIMO System
    Zhu, Li
    Zhu, Jiang
    Wang, Shilian
    Hu, Li
    Cheng, Qian
    2019 IEEE 90TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-FALL), 2019,
  • [24] Hybrid beamforming for millimeter-wave massive MIMO heterogeneous networks
    Li, Zhannan
    Chen, Tao
    Hu, Xuejing
    DIGITAL SIGNAL PROCESSING, 2022, 130
  • [25] Hybrid Beamforming Transmitter Modeling for Millimeter-Wave MIMO Applications
    Taghikhani, Parastoo
    Buisman, Koen
    Fager, Christian
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2020, 68 (11) : 4740 - 4752
  • [26] Demo: Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming
    Chung, MinKeun
    Liu, Liang
    Edfors, Ove
    Tufvesson, Fredrik
    2020 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE WORKSHOPS (WCNCW), 2020,
  • [27] Hybrid Beamforming Based Millimeter Wave Massive MIMO Channel Estimation
    Huang Jingze
    Liang Xuwen
    Xie Zhuochen
    LASER & OPTOELECTRONICS PROGRESS, 2022, 59 (05)
  • [28] Robust Hybrid Beamforming Design for Millimeter Wave MIMO Relay Channels
    Luo, Zhen
    Zhang, Lin
    2018 IEEE SYMPOSIUM ON PRODUCT COMPLIANCE ENGINEERING - ASIA 2018 (IEEE ISPCE-CN 2018), 2018, : 39 - 44
  • [29] Initial Access for Millimeter-Wave and Terahertz Communications with Hybrid Beamforming
    Jiang, Wei
    Schotten, Hans D.
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022, : 3960 - 3965
  • [30] Hybrid Beamforming for Multi-User Transmission in Millimeter Wave Communications
    Kim, Minhyun
    Lee, Junghoon
    Lee, Junhwan
    2017 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC), 2017, : 1260 - 1262