Base-Station and RIS Deployment Optimization for Indoor Coverage Enhancement

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.

Nambala, SwaroopLund University (författare)
Rusek, FredrikLund 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(Swepub:lu)it-fru (författare)
Cai, XuesongLund University,Lunds universitet,Kommunikationsteknologi,Forskargrupper vid Lunds universitet,Communications Engineering,Lund University Research Groups(Swepub:lu)xu2214ca (författare)
Lund UniversityKommunikationsteknologi (creator_code:org_t)

Ingår i:2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023, s. 246-2499798350323047

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