Improved utility-based radio resource allocation in OFDMA systems with mixed traffics

In this paper, we propose an improved utility-based radio resource allocation algorithm in orthogonal frequency division multiple access (OFDMA) wireless networks. The queue state information (QSI), channel state information (CSI), QoS requirements and transmitted packets are synthetically considered in the utility function, thus it can meet the needs of networks with multi-service better. Based on the proposed utility function, the problem is designed as the sum utility maximization subject to both base station (BS) power and each subcarrier power. A heuristic algorithm based on Lagrange Multipliers method is used to solve the formulated optimization problem. Numeric simulation results show that compared with traditional approaches which do not take the QSI and transmitted packets into account, our proposed approach achieves better performance in terms of balancing throughput, delay and fairness.