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Base-Station and RIS Deployment Optimization for Indoor Coverage Enhancement

Kong, Dexin ; Nambala, Swaroop ; Rusek, Fredrik LU and Cai, Xuesong LU (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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Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
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}},
}