Adaptive resource allocation based on utility optimization in OFDM

Abstract

This paper investigates efficient and fair resource allocation, which is realized by using utility functions to measure the quality of service of users, in multiuser orthogonal frequency division multiplexing (OFDM) networks. To achieve the optimal resource allocation, we develop a series of efficient utility-based resource allocation algorithms that cover many conditions, including various dynamic subcarrier assignment and power allocation algorithms. The simulation results show that utility functions, together with dynamic subcarrier allocation, adaptive power allocation, and low-pass time window, can obtain multiuser, frequency, and time diversity, and significantly improve network efficiency as well as fairness.