Full-Duplex Communication for ISAC: Joint Beamforming and Power Optimization

被引:55
作者
He, Zhenyao [1 ,2 ]
Xu, Wei [1 ,2 ]
Shen, Hong [3 ]
Ng, Derrick Wing Kwan [4 ]
Eldar, Yonina C. [5 ]
You, Xiaohu [1 ,2 ]
机构
[1] Southeast Univ, Frontiers Sci Ctr Mobile Informat Commun & Secur, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[2] Purple Mt Labs, Nanjing 211111, Peoples R China
[3] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[4] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
[5] Weizmann Inst Sci, Fac Math & Comp Sci, IL-7610001 Rehovot, Israel
基金
澳大利亚研究理事会; 以色列科学基金会; 欧洲研究理事会;
关键词
Integrated sensing and communication (ISAC); full-duplex (FD) communication; joint transceiver optimization; beamforming design; WAVE-FORM DESIGN; MIMO RADAR; TECHNOLOGY;
D O I
10.1109/JSAC.2023.3287540
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
Beamforming design has been widely investigated for integrated sensing and communication (ISAC) systems with full-duplex (FD) sensing and half-duplex (HD) communication, where the base station (BS) transmits and receives radar sensing signals simultaneously while the integrated communication operates in either downlink or uplink. To achieve higher spectral efficiency, in this paper, we extend existing ISAC beamforming design to a general case by considering the FD capability for both radar and communication. Specifically, we consider an FD ISAC system, where the BS performs target detection and communicates with multiple downlink users and uplink users reusing the same time and frequency resources. We jointly optimize the downlink dual-functional transmit signal and the uplink receive beamformers at the BS and the transmit power at the uplink users. The problems are formulated under two criteria: power consumption minimization and sum rate maximization. The downlink and uplink transmissions are tightly coupled due to both the desired target echo and the undesired interference received at the BS, making the problems challenging. To handle these issues in both cases, we first determine the optimal receive beamformers in closed forms with respect to the BS transmit beamforming and the user transmit power. Subsequently, we invoke these results to obtain equivalent optimization problems and propose iterative algorithms to solve them. In addition, we consider a special case under the power minimization criterion and propose an alternative low complexity design. Numerical results demonstrate that the optimized FD communication-based ISAC brings tremendous improvements in terms of both power efficiency and spectral efficiency compared to the conventional ISAC with HD communication.
引用
收藏
页码:2920 / 2936
页数:17
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