Optimizing Placement and Power Allocation in Reconfigurable Intelligent Sensing Surfaces for Enhanced Sensing and Communication Performance

被引:0
作者
Luo, Cheng [1 ]
Hu, Jie [1 ]
Xiang, Luping [2 ,3 ]
Yang, Kun [1 ,4 ]
Lei, Bo [5 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China
[2] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210008, Peoples R China
[3] Nanjing Univ, Sch Intelligent Software & Engn, Suzhou Campus, Suzhou 215163, Peoples R China
[4] Univ Essex, Sch Comp Sci & Elect Engn, Colchester CO4 3SQ, England
[5] Res Inst China Telecom Co Ltd, Beijing 102209, Peoples R China
关键词
Sensors; Resource management; Reconfigurable intelligent surfaces; Finite element analysis; Direction-of-arrival estimation; Software; Estimation; Complexity theory; Wireless networks; Underwater acoustics; Multiple intelligent reflecting surfaces; sensing assisted communication; active elements;
D O I
10.1109/LCOMM.2024.3486767
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 investigate the design of multiple reconfigurable intelligent sensing surfaces (RISSs) that enhance both communication and sensing tasks. An RISS incorporates additional active elements tailored to improve sensing accuracy. Our initial task involves optimizing placement of RISSs to mitigate signal interference. Subsequently, we establish power allocation schemes for sensing and communication within the system. Our final consideration involves examining how sensing results can be utilized to enhance communication, alongside an evaluation of communication performance under the impact of sensing inaccuracies. Numerical results reveal that the sensing task reaches its optimal performance with a finite number of RISSs, while the communication task exhibits enhanced performance with an increasing number of RISSs. Additionally, we identify an optimal communication spot under user movement.
引用
收藏
页码:11 / 15
页数:5
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