Adaptive token bank fair queuing scheduling in the downlink of 4G wireless multicarrier networks

In this paper we present an efficient cross-layer scheduling algorithm designed for resource allocation in downlink of 4G wireless multicarrier networks. This study focuses on the mechanisms of efficiency, fairness, as well as quality of service (QoS) provisioning and algorithm development for resource allocation in multiuser frequency-selective fading environments. The performance of the proposed scheme is compared to that of the Score Based (SB) scheduling, which is a variation of the Proportional Fair (PF) algorithm (the most widely adapted opportunistic scheduling technique), in the presence of interference. It is observed from simulation results that the proposed scheme provides better fairness in terms queuing delays, and dropped packets for various loading factors while the throughput remains comparable. A gain in the performance of cell edge users is also observed for the proposed scheme, this may result in substantial savings in the deployment cost since fewer base stations (BS) will be needed to cover regions.