Game theoretic QoS modeling for joint resource allocation in multi-user MIMO cellular networks

Abstract

This study addresses the resource allocation problem for multi-user MIMO systems with consideration of real-time services. Specifically, we focused on the delay constraints modeling in this paper, since it is a fundamental QoS requirement for all real-time services. To simultaneously meet the delay constraints of all users, we first modeled this resource allocation problem with specific delay restrictions as a bargaining game. Based on the Nash bargaining solution, we derived the system utility function that achieves delay constraints in a long term. Then, we formulated the resource allocation problem as an optimization problem through the weighted sum rate maximization, which can be solved by a modified iterative water-filling algorithm. Simulation results show that our proposed resource allocation algorithm not only achieves delay requirements for different realtime services, but also obtains the Pareto optimal efficiency with acceptable complexity.