Abstract
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 language | English |
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Title of host publication | Proceedings of the IEEE 95th Vehicular Technology Conference |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 6 |
ISBN (Electronic) | 9781665482431 |
ISBN (Print) | 9781665482448 |
DOIs | |
Publication status | Published - 25 Aug 2022 |
Event | 95th IEEE Vehicular Technology Conference (Spring) - Helsinki, Finland Duration: 19 Jun 2022 → 22 Jun 2022 https://doi.org/10.1109/VTC2022-Spring54318.2022 |
Publication series
Name | Vehicular Technology Conference: Proceedings |
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Publisher | IEEE |
ISSN (Print) | 1090-3038 |
ISSN (Electronic) | 2577-2465 |
Conference
Conference | 95th IEEE Vehicular Technology Conference (Spring) |
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Abbreviated title | VTC-Spring |
Country/Territory | Finland |
City | Helsinki |
Period | 19/06/2022 → 22/06/2022 |
Internet address |