Fine-grained analysis of reconfigurable intelligent surface-assisted mmWave networks

Le Yang, Xiao Li, Shi Jin, Michalis Matthaiou, Fu-Chun Zheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Reconfigurable intelligent surfaces (RISs) have emerged as a promising technology for the next generation networks. By utilizing tools from stochastic geometry, we develop a meta distributed-based analytical framework to study the effect of the large-scale deployment of the RIS on the performance of a millimeter wave (mmWave) cellular network. Specifically, the locations of the base stations (BSs) are modeled as Poisson point processes (PPPs). In addition, the blockages are modeled by a Boolean model and a fraction of the blockages are coated with RISs. By considering the randomness of the locations and orientations of the RISs and the particular characteristics of mmWave communications, we provide a statistical characterization of the path loss for the BSs and RISs and derive the analytical expressions for the k-th moment of the conditional success probability, the area spectral efficiency and the energy efficiency. Numerical results demonstrate that better coverage performance and higher energy efficiency can be achieved by a large-scale deployment of RISs.

Original languageEnglish
Title of host publicationProceedings of the IEEE 95th Vehicular Technology Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781665482431
ISBN (Print)9781665482448
Publication statusPublished - 25 Aug 2022
Event95th IEEE Vehicular Technology Conference (Spring) - Helsinki, Finland
Duration: 19 Jun 202222 Jun 2022

Publication series

NameVehicular Technology Conference: Proceedings
ISSN (Print)1090-3038
ISSN (Electronic)2577-2465


Conference95th IEEE Vehicular Technology Conference (Spring)
Abbreviated titleVTC-Spring
Internet address


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