Optimizing Placement and Power Allocation in Reconfigurable Intelligent Sensing Surfaces for Enhanced Sensing and Communication Performance
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.
Authors
- Luping Xiang (ORCID: https://orcid.org/0000-0003-1465-6708)
- Jie Hu (ORCID: https://orcid.org/0000-0002-5157-0172)
- Kun Yang (ORCID: https://orcid.org/0000-0002-6782-6689)
- Cheng Luo (ORCID: https://orcid.org/0000-0002-1871-1519)
- Bo Lei
Institutions
- University of Electronic Science and Technology of China (CN)
- China Telecom (China) (CN)
- China Telecom (CN)
- Nanjing University (CN)
Publication Details
- Journal
- IEEE Communications Letters
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1109/lcomm.2024.3486767
- Primary Topic
- Modular Robots and Swarm Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00