University of Oulu

E. M. Taghavi, A. Alizadeh, N. Rajatheva, M. Vu and M. Latva-aho, "User Association in Millimeter Wave Cellular Networks with Intelligent Reflecting Surfaces," 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021, pp. 1-6, doi: 10.1109/VTC2021-Spring51267.2021.9448951

User association in millimeter wave cellular networks with intelligent reflecting surfaces

Saved in:
Author: Taghavi, Ehsan Moeen1; Alizadeh, Alireza2; Rajatheva, Nandana1;
Organizations: 16G Flagship, Centre for Wireless Communications, University of Oulu, Oulu, Finland
2Department of Electrical and Computer Engineering, Tufts University, Medford, USA
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2021-10-25


In this paper, we introduce a new load balancing user association scheme for millimeter wave (mmWave) cellular networks in which intelligent reflecting surface (IRS) is applied in the cellular network to improve the coverage region of each cell and mitigate mmWave vulnerability to non-line of sight (N-LoS) paths. The user association scheme improves network performance significantly by adjusting the interference according to the association. We study the IRS-assisted mmWave cellular network where one IRS is deployed to assist in the communication from the base station (BS) to mobile users (MUs) in each cell. We balance BS loads and maximize a network utility by optimizing the user association with a matching game. Simulation results show that the proposed scheme significantly improves the throughput compared to conventional user association techniques.

see all

ISBN: 978-1-7281-8963-5
ISBN Print: 978-1-7281-8964-2
Article number: 9448951
DOI: 10.1109/VTC2021-Spring51267.2021.9448951
Host publication: 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 25-28 April 2021 : proceedings
Conference: IEEE Vehicular Technology Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Copyright information: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.