RU
On the Optimal Proportional Fair Radio Resource Management in 5G Cellular Networks
Published: 2023, vol. 27, issue 3, pp. 96–120
Abstract
We consider the problem of the optimal radio resource management in MU-MIMO 5G cellular networks in Full Buffer traffic model. Unlike in the networks of the previous generation, in 5G users can share the same frequency resource with a small loss of quality, which leads to a more complicated problem statement. We study properties of the proportionally fair scheduler that meets the problem of maximizing the sum of logarithms of users’ average rates. We propose a computationally simple algorithm based on the studied properties that improves the proportional fairness in comparison with other well-known algorithms. The algorithms were compared using realistic data generated by the Sionna library.
Keywords: convex optimization, Karush–Kuhn–Tucker conditions, radio resource management, scheduler, 5G cellular networks, MU-MIMO, full buffer, proportional fairness, Sionna.
BibTeX
@article{IS-Kolosov-Gorodetskii-Minenkov2023,
author = {Kolosov, Alexey Mikhajlovich and Gorodetskii, Leonid Sergeevich and Minenkov, Dmitry Sergeevich},
title = {{On the Optimal Proportional Fair Radio Resource Management in 5G Cellular Networks}},
journal = {Intelligent Systems. Theory and Applications},
year = {2023},
volume = {27},
number = {3},
pages = {96--120},
}
AMSBIB
\Bibitem{IS-Kolosov-Gorodetskii-Minenkov2023}
\by A.\,M.~Kolosov, L.\,S.~Gorodetskii, D.\,S.~Minenkov
\paper On the Optimal Proportional Fair Radio Resource Management in 5G Cellular Networks
\jour Intelligent Systems. Theory and Applications
\yr 2023
\vol 27
\issue 3
\pages 96--120
\lang In Russian