In this work we study the problem of user association and resource allocation to maximize the proportional fairness of a wireless network with limited backhaul capacity. The optimal solution of this problem requires solving a mixed integer non-linear programming problem which generally cannot be solved in real time. We propose instead to model the problem as a potential game, which decreases dramatically the computational complexity and obtains a user association and resource allocation close to the optimal solution. Additionally, the use of a game-theoretic approach allows an efficient distribution of the computational burden among the computational resources of the network.
@article{arxiv.2501.15687,
title = {Joint Cell Selection and Resource Allocation Games with Backhaul Constraints},
author = {Jorge Ortin and Jose Ramon Gallego and Maria Canales},
journal= {arXiv preprint arXiv:2501.15687},
year = {2025}
}