@inproceedings{f2bb704178e649278c455513f3c6bc87,
title = "A Dominant Interferer-based Approximation for Uplink SINR Meta Distribution in Cellular Networks",
abstract = "This work studies the signal-to-interference-plus-noise-ratio (SINR) meta distribution for the uplink transmission of a Poisson network with Rayleigh fading by using the dominant interferer-based approximation. The proposed approach relies on computing the mix of exact and mean-field analysis of interference. In particular, it requires the distance distribution of the nearest interferer and the conditional average of the rest of the interference. Using the widely studied fractional path-loss inversion power control and modeling the spatial locations of base stations (BSs) by a Poisson point process (PPP), we obtain the meta distribution based on the proposed method and compare it with the traditional beta approximation, as well as the exact results obtained via Monte-Carlo simulations. Our numerical results validate that the proposed method shows good matching and is time competitive.",
keywords = "approximation, Meta distribution, Poisson network, reliability, stochastic geometry, uplink",
author = "Yujie Qin and Kishk, {Mustafa A.} and Alouini, {Mohamed Slim}",
note = "Publisher Copyright: {\textcopyright} 2023 IFIP.; 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2023 ; Conference date: 24-08-2023 Through 27-08-2023",
year = "2023",
doi = "10.23919/WiOpt58741.2023.10349813",
language = "English (US)",
series = "Proceedings of the International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "398--403",
booktitle = "2023 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2023",
address = "United States",
}