Base-Station and RIS Deployment Optimization for Indoor Coverage Enhancement
(2023) 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023 p.246-249- Abstract
Reconfigurable intelligent surfaces (RISs) are promising to improve energy efficiency and coverage for 6G [1]. In this paper, we aim to optimize the deployment of BSs and RISs for enhanced coverage in terms of received power. Specifically, an active RIS structure [2] with tuneable power amplification is applied, and a framework of mixed integer linear programming (MILP) is proposed for the optimization problems. Furthermore, an indoor scenario is simulated using ray tracing tools. Based on the simulated channels, we apply the proposed framework to enhance the indoor coverage for slightly-shadowed and heavily-shadowed cases, respectively. The main outcome of this paper is that deploying RISs in appropriate positions can reduce the number... (More)
Reconfigurable intelligent surfaces (RISs) are promising to improve energy efficiency and coverage for 6G [1]. In this paper, we aim to optimize the deployment of BSs and RISs for enhanced coverage in terms of received power. Specifically, an active RIS structure [2] with tuneable power amplification is applied, and a framework of mixed integer linear programming (MILP) is proposed for the optimization problems. Furthermore, an indoor scenario is simulated using ray tracing tools. Based on the simulated channels, we apply the proposed framework to enhance the indoor coverage for slightly-shadowed and heavily-shadowed cases, respectively. The main outcome of this paper is that deploying RISs in appropriate positions can reduce the number of deployed BSs significantly.
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- author
- Kong, Dexin ; Nambala, Swaroop ; Rusek, Fredrik LU and Cai, Xuesong LU
- organization
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- coverage, energy efficiency, mixed integer linear programming, ray tracing, Reconfigurable intelligent surface (RIS)
- host publication
- 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023
- pages
- 4 pages
- publisher
- Piscataway, NJ : Institute of Electrical and Electronics Engineers
- conference name
- 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023
- conference location
- Genoa, Italy
- conference dates
- 2023-11-15 - 2023-11-17
- external identifiers
-
- scopus:85182283697
- ISBN
- 9798350323047
- DOI
- 10.1109/CAMA57522.2023.10352729
- language
- English
- LU publication?
- yes
- id
- bb716967-58b9-459b-9bc6-e923cf2aca62
- date added to LUP
- 2024-02-15 14:38:59
- date last changed
- 2024-02-15 14:38:59
@inproceedings{bb716967-58b9-459b-9bc6-e923cf2aca62, abstract = {{<p>Reconfigurable intelligent surfaces (RISs) are promising to improve energy efficiency and coverage for 6G [1]. In this paper, we aim to optimize the deployment of BSs and RISs for enhanced coverage in terms of received power. Specifically, an active RIS structure [2] with tuneable power amplification is applied, and a framework of mixed integer linear programming (MILP) is proposed for the optimization problems. Furthermore, an indoor scenario is simulated using ray tracing tools. Based on the simulated channels, we apply the proposed framework to enhance the indoor coverage for slightly-shadowed and heavily-shadowed cases, respectively. The main outcome of this paper is that deploying RISs in appropriate positions can reduce the number of deployed BSs significantly.</p>}}, author = {{Kong, Dexin and Nambala, Swaroop and Rusek, Fredrik and Cai, Xuesong}}, booktitle = {{2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023}}, isbn = {{9798350323047}}, keywords = {{coverage; energy efficiency; mixed integer linear programming; ray tracing; Reconfigurable intelligent surface (RIS)}}, language = {{eng}}, pages = {{246--249}}, publisher = {{Piscataway, NJ : Institute of Electrical and Electronics Engineers}}, title = {{Base-Station and RIS Deployment Optimization for Indoor Coverage Enhancement}}, url = {{http://dx.doi.org/10.1109/CAMA57522.2023.10352729}}, doi = {{10.1109/CAMA57522.2023.10352729}}, year = {{2023}}, }