User satisfaction-aware radio resource management in ultra-dense small cell networks

This paper studies downlink resource allocation to improve user experience in ultra-dense small cell networks, which is characterized by multi-dimensional heterogeneities in terms of spectrum, cells, and user requirements. Specifically, spectrum access, power allocation, and user scheduling of small cells, are jointly investigated and an optimization problem is formulated, with the objective of maximizing the users' satisfaction across the network. In order to reduce the complexity and overhead, distributed solutions with local information are required. To this end, we employ game-theoretic approach and interference graph to re-formulate the problem. We prove the existence of Nash Equilibrium (NE) in the game, which corresponds to the global or local optimum of the original problem. A concurrent best response iterative (CBSI) algorithm is proposed, which can guarantee the convergence to an NE. Simulation results are presented to validate and evaluate the performance of the proposed algorithm.