QoS-guaranteed resource allocation supporting multi-services in OFDM systems

Orthogonal frequency division multiplexing (OFDM) is a promising technique for the broadband air interface and has been widely deployed in current wireless transmission systems. With the adoption of adaptive modulation and coding, OFDM system can support multi-services dissemination. However, since different services have different quality of service (QoS) requirements, efficient resource allocation while satisfying various QoS requirements remains a challenge in OFDM systems, especially when the resource is relatively small compared with the great demand of services. In this paper, we study the problem of how to allocate the resource for QoS-constrained multiple services in OFDM systems over time-frequency dimensions. We investigate two algorithms to sort an optimal service queue for resource allocation. One is greedy algorithm with low complexity, and the other one is genetic algorithm which is closer to the optimal solution. Simulation results demonstrate that genetic algorithm performs better than greedy algorithm but with longer computational time.