Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/10877
Title: mmWave Coverage Extension Using Reconfigurable Intelligent Surfaces in Indoor Dense Spaces
Authors: Li, Z.
Topal, O.A.
Demir, O.T.
Björnson, E.
Cavdar, C.
Keywords: aircraft
indoor dense spaces
mmWave communication
ray tracing
reconfigurable intelligent surface
Approximation algorithms
Convex optimization
Millimeter waves
Ray tracing
Convex optimization problems
Coverage extension
Indoor dense space
Millimeterwave communications
Nonconvex optimization
Propagation characteristics
Ray tracing simulation
Reconfigurable
Reconfigurable intelligent surface
User equipments
Aircraft
Issue Date: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: 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.
Description: 2023 IEEE International Conference on Communications, ICC 2023 -- 28 May 2023 through 1 June 2023 -- 193943
URI: https://doi.org/10.1109/ICC45041.2023.10279515
https://hdl.handle.net/20.500.11851/10877
ISBN: 9781538674628
ISSN: 1550-3607
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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