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|mmWave Coverage Extension Using Reconfigurable Intelligent Surfaces in Indoor Dense Spaces
indoor dense spaces
reconfigurable intelligent surface
Convex optimization problems
Indoor dense space
Ray tracing simulation
Reconfigurable intelligent surface
|Institute of Electrical and Electronics Engineers Inc.
|In this work, we consider the deployment of reconfigurable intelligent surfaces (RISs) to extend the coverage of a millimeter-wave (mmWave) network in indoor dense spaces. We first integrate RIS into ray-tracing simulations to realistically capture the propagation characteristics, then formulate a non-convex optimization problem that minimizes the number of RISs under rate constraints. We propose a feasible point pursuit and successive convex approximation-based algorithm, which solves the problem by jointly selecting the RIS locations, optimizing the RIS phase-shifts, and allocating time resources to user equipments (UEs). The numerical results demonstrate substantial coverage extension by using at least four RISs, and a data rate of 130 Mbit/s is guaranteed for UEs in the considered area of an airplane cabin. © 2023 IEEE.
|2023 IEEE International Conference on Communications, ICC 2023 -- 28 May 2023 through 1 June 2023 -- 193943
|Appears in Collections:
|Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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