Comprehensive Link-Level Simulator for Terahertz MIMO Integrated Sensing and Communication Systems With TDD Framework

被引:0
|
作者
Shi, Hanchen [1 ]
Yang, Chuang [1 ]
Peng, Mugen [1 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
Terahertz communications; MIMO communication; OFDM; 6G mobile communication; Estimation; Location awareness; Design methodology; THz ISAC; MIMO; TDD; OFDM waveform numerology; link-level simulator; VEHICULAR COMMUNICATIONS; WIRELESS COMMUNICATIONS; BAND COMMUNICATIONS; MILLIMETER-WAVE; JOINT RADAR; CHALLENGES;
D O I
10.1109/TVT.2024.3422512
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
Terahertz (THz) integrated sensing and communication (ISAC) with multiple-input multiple-output (MIMO) architecture is recognized as a promising interdisciplinary technology for ultra-high-rate mobile communications since the systems enable narrow beam tracking which is necessary in the THz band. In this work, a link-level simulator for THz MIMO ISAC in time-division duplex (TDD) operation is proposed to design and analyze mobile systems. Compared to the simulators in the literature, the proposed simulator is more practical and comprehensive, employing two-dimensional position and motion simulation to develop localization capabilities, and considering THz characteristics such as wideband echo, molecular absorption and cluster-based channel. Specifically, the simulator supports the standard orthogonal frequency division multiplexing (OFDM) and discrete Fourier transform spread OFDM (DFT-s-OFDM) waveforms for sensing and communication simultaneously. Trade-offs between communication and sensing metrics required for waveform numerology design are investigated. In particular, by exploiting TDD framework's integration capability, range-velocity-angle estimation with virtual array and sensing-aided downlink spatial multiplexing are co-designed. Additionally, a user interface with elaborate parameter configuration is introduced. Finally, we implement an urban vehicle-to-vehicle (V2V) application case to verify the simulator. The simulation results present the feasibility of the developed integrated architecture.
引用
收藏
页码:16932 / 16947
页数:16
相关论文
共 27 条
  • [1] Link-Level Simulation of TDD-Based Massive MIMO System
    Ji, Feng
    Yang, Xi
    Qiao, Dan
    Jin, Shi
    2016 8TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS & SIGNAL PROCESSING (WCSP), 2016,
  • [2] Methodologies of Link-Level Simulator and System-Level Simulator for C-V2X Communication
    Wang, Donglin
    Sattiraju, Raja R.
    Qiu, Anjie
    Partani, Sanket
    Schotten, Hans D.
    2019 IEEE 2ND INTERNATIONAL CONFERENCE ON ELECTRONICS AND COMMUNICATION ENGINEERING (ICECE 2019), 2019, : 178 - 184
  • [3] Link-level Performance Estimation of ML Receiver in MIMO-OFDM Systems
    Tian, Shuang
    Jia, Dai
    Yuan, Jinhong
    Cheng, Xingqing
    Wan, Lei
    Fei, Zesong
    PROCEEDINGS OF THE 2015 10TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND NETWORKING IN CHINA CHINACOM 2015, 2015, : 188 - 193
  • [4] A comprehensive study on the synchronization procedure in 5G NR with 3GPP-compliant link-level simulator
    Tuninato, Riccardo
    Riviello, Daniel Gaetano
    Garello, Roberto
    Melis, Bruno
    Fantini, Roberto
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2023, 2023 (01)
  • [5] A comprehensive study on the synchronization procedure in 5G NR with 3GPP-compliant link-level simulator
    Riccardo Tuninato
    Daniel Gaetano Riviello
    Roberto Garello
    Bruno Melis
    Roberto Fantini
    EURASIP Journal on Wireless Communications and Networking, 2023
  • [6] Link-Level Resource Allocation for Flexible-Grid Nonlinear Fiber-Optic Communication Systems
    Yan, Li
    Agrell, Erik
    Wymeersch, Henk
    Johannisson, Pontus
    Di Taranto, Rocco
    Brandt-Pearce, Maite
    IEEE PHOTONICS TECHNOLOGY LETTERS, 2015, 27 (12) : 1250 - 1253
  • [7] Optimized design for integrated sensing and communication insecure MIMO SWIPT systems
    Nguyen, Xuan-Xinh
    Kha, Ha Hoang
    COMPUTER NETWORKS, 2025, 257
  • [8] Precoding Optimization for MIMO-OFDM Integrated Sensing and Communication Systems
    Wei, Zhiqing
    Yao, Rubing
    Yuan, Xin
    Wu, Huici
    Zhang, Qixun
    Feng, Zhiyong
    IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2025, 11 (01) : 288 - 299
  • [9] A modified deep learning based MIMO communication for integrated sensing, communication and computing systems
    Duan, Chaowei
    Zhang, Jian
    DIGITAL SIGNAL PROCESSING, 2023, 142
  • [10] Joint and Robust Beamforming Framework for Integrated Sensing and Communication Systems
    Choi, Jinseok
    Park, Jeonghun
    Lee, Namyoon
    Alkhateeb, Ahmed
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (11) : 17602 - 17618