Beamforming Optimization for Full-Duplex NOMA Enabled Integrated Sensing and Communication

被引：3

作者：

Chen, Kai ^{[1
]}

Li, Ruoguang ^{[2
]}

Wang, Li ^{[1
]}

Xu, Lianming ^{[3
]}

Fei, Aiguo ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Sch Comp Sci, Natl Pilot Software Engn Sch, Beijing, Peoples R China

[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing, Peoples R China

[3] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing, Peoples R China

来源：

2022 14TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING, WCSP | 2022年

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

Integrated sensing and communication (ISAC); non-orthogonal multiple access (NOMA); full-duplex (FD); beamforming; JOINT TRANSMIT; RADAR;

D O I：

10.1109/WCSP55476.2022.10039247

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：

In this paper, a full-duplex (FD) non-orthogonal multiple access (NOMA) enabled integrated sensing and communication (ISAC) framework is investigated, where the base station (BS) carries out simultaneous target detection, uplink and downlink communication as well as separates the sensing reflection and uplink communication signals with successive interference cancellation (SIC). A beamforming optimization problem is formulated to maximize the sensing signal-to-interference-plus-noise ratio (SINR), subject to downlink SINR requirement for each downlink user equipment (DUE), and we use semidefinite relaxation (SDR) to solve such a non-convex optimization problem. Numerical results demonstrate the performance gain obtained by combining FD and NOMA in ISAC system and the performance tradeoff between sensing and communication.

引用

页码：264 / 268

页数：5

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