Cross-Domain Multicarrier Waveform Design for Integrated Sensing and Communication

被引:0
|
作者
Zhang, Fan [1 ]
Mao, Tianqi [2 ]
Liu, Ruiqi [3 ]
Han, Zhu [4 ]
Dobre, Octavia A. [5 ]
Chen, Sheng [6 ]
Wang, Zhaocheng [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100080, Peoples R China
[2] Beijing Inst Technol, Adv Res Inst Multidisciplinary Sci, Beijing 100081, Peoples R China
[3] ZTE Corp, Wireless & Comp Res Inst, Beijing 100029, Peoples R China
[4] Univ Houston, Dept Elect & Comp Engn, Houston, TX 77004 USA
[5] Mem Univ, Fac Engn & Appl Sci, St John, NF A1C 5S7, Canada
[6] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, Hants, England
基金
国家重点研发计划;
关键词
POWER ALLOCATION; MILLIMETER-WAVE; RADAR; CONVERGENCE;
D O I
10.1109/WCNC57260.2024.10571317
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Integrated sensing and communication (ISAC) is expected to be a promising technology in the sixth-generation (6G) wireless networks for its ability to alleviate resources shortage and excessive hardware expenses. One typical representative for ISAC waveforms is the orthogonal frequency division multiplexing (OFDM) waveform, which divides the time-frequency resources into orthogonal resource elements (REs). In order to satisfy their diverse design requirements and mitigate mutual interference, the communication and sensing subsystems can be assigned with different REs, which necessitates effective allocation strategies of different resources across time and frequency domains. In this article, a cross-domain multicarrier waveform design methodology is proposed, which optimizes the RE assignment and power allocation strategies for the OFDM-based ISAC system. Specifically, for sensing performance enhancement, the unit cells of the ambiguity function (AF) of the sensing components are specially shaped to achieve a "locally" perfect auto-correlation (AC) property within a predefined region of interest (RoI) in the Delay-Doppler domain. Afterwards, the irrelevant cells outside the RoI, which can determine the sensing power allocation strategy, are optimized alternatively with the communication power allocation strategy to maximize the throughput for the communication purpose. Numerical results demonstrate the superiority of the cross-domain multicarrier waveform design, which also provides useful guidelines for parameter settings of the proposed OFDM-based ISAC system.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Multicarrier Waveform Design for mmWave/THz Integrated Sensing and Communication
    Zhang, Fan
    Mao, Tianqi
    Liu, Ruiqi
    Zhang, Leyi
    Zheng, Dezhi
    Wang, Tengfei
    Wang, Zhaocheng
    20TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE, IWCMC 2024, 2024, : 501 - 506
  • [2] Cross-Domain Fusion Constellation Design of Communication, Navigation and Remote Sensing
    Qin, Junxiang
    Li, Xuan
    Ma, Xiaotian
    Guo, Xiye
    Yang, Jun
    APPLIED SCIENCES-BASEL, 2023, 13 (05):
  • [3] Cross-Domain Dual-Functional OFDM Waveform Design for Accurate Sensing/Positioning
    Zhang, Fan
    Mao, Tianqi
    Liu, Ruiqi
    Han, Zhu
    Chen, Sheng
    Wang, Zhaocheng
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2024, 42 (09) : 2259 - 2274
  • [4] Intelligent Waveform Design for Integrated Sensing and Communication
    Zhang, Jifa
    Guo, Shaoyong
    Gong, Shiqi
    Xing, Chengwen
    Zhao, Nan
    Ng, Derrick Wing Kwan
    Niyato, Dusit
    IEEE WIRELESS COMMUNICATIONS, 2025, 32 (01) : 166 - 173
  • [5] Robust Waveform Design for Integrated Sensing and Communication
    Wang, Shixiong
    Dai, Wei
    Wang, Haowei
    Li, Geoffrey Ye
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2024, 72 : 3122 - 3138
  • [6] Integrated Sensing and Communication Waveform Design: A Survey
    Zhou, Wenxing
    Zhang, Ruoyu
    Chen, Guangyi
    Wu, Wen
    IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2022, 3 : 1930 - 1949
  • [7] Multicarrier DS-CDMA Based Integrated Sensing and Communication Waveform Designs
    Sharma, Salil
    Koivunen, Visa
    2022 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM), 2022,
  • [8] Integrated sensing and communication waveform design in the Internet of Vehicles
    Li, Zhuo
    Ma, Zhonggui
    Liang, Yanpeng
    VEHICULAR COMMUNICATIONS, 2023, 44
  • [9] Constant Modulus Waveform Design for Integrated Sensing and Communication Systems
    Zhong, Kai
    Hu, Jinfeng
    Cong, Yang
    Wu, Jie
    Pei, Yaya
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 3736 - 3739
  • [10] Low-PAPR Integrated Sensing and Communication Waveform Design
    Yao, Rubing
    Wei, Zhiqing
    Su, Liyan
    Wang, Lin
    Feng, Zhiyong
    2023 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC, 2023,