Adaptive Radio Resource Allocation Framework for Multi-User OFDM

Spectral efficiency, fairness and user satisfaction are crucial aspects for resource allocation in multi-user Orthogonal Frequency Division Multiplexing (OFDM)-based cellular networks. Classical Radio Resource Allocation (RRA) strategies, such as Max-Rate (MR), Proportional Fairness (PF) and Max- Min Fairness (MMF), show different performances regarding the three aforementioned aspects. In this work, we present an adaptive RRA framework that joins the criteria of the three classical strategies in a unified manner and can be dynamically configured according to the cellular operator´s objectives. We exemplify the flexible use of this general framework by proposing two adaptive RRA algorithms that provide strict fairness among users and maximizes the users´ satisfaction, respectively. Simulation results show that the two proposed algorithms can efficiently achieve their respective objectives by means of the adaptation of the general RRA framework. I.