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Base-Station and RIS Deployment Optimization for Indoor Coverage Enhancement

Kong, Dexin (author)
Lund University
Nambala, Swaroop (author)
Lund University
Rusek, Fredrik (author)
Lund University,Lunds universitet,Kommunikationsteknologi,Forskargrupper vid Lunds universitet,LTH profilområde: AI och digitalisering,LTH profilområden,Lunds Tekniska Högskola,Communications Engineering,Lund University Research Groups,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH
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Cai, Xuesong (author)
Lund University,Lunds universitet,Kommunikationsteknologi,Forskargrupper vid Lunds universitet,Communications Engineering,Lund University Research Groups
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 (creator_code:org_t)
2023
2023
English 4 s.
In: 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023. - 9798350323047 ; , s. 246-249
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)

Keyword

coverage
energy efficiency
mixed integer linear programming
ray tracing
Reconfigurable intelligent surface (RIS)

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kon (subject category)
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Kong, Dexin
Nambala, Swaroop
Rusek, Fredrik
Cai, Xuesong
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ENGINEERING AND TECHNOLOGY
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