Evaluation of utility-based Adaptive resource and Power Allocation for real time services in OFDMA systems

Abstract

This paper analyzes the performance of Adaptive Power Allocation (APA) based on (multi-level) water filling as a novel extension of a utility-based Radio Resource Allocation (RRA) framework designed for Real Time (RT) service provision in Orthogonal Frequency Division Multiple Access (OFDMA)-based systems. We evaluate capacity, satisfaction and fairness improvements that originate from exploiting the high degree of flexibility of RRA in the context of OFDMA systems and particularly, concentrate on optimal power allocation combined with utility-based scheduling. Results show that Delay-based Satisfaction Maximization (DSM) presents the best performance to maximize user satisfaction in comparison with classical algorithms and conclude also that benefit of APA is marginal compared to Equal Power Allocation (EPA).