Abstract

Next generation of mobile networks will support intelligent terminals having different categories and generating traffic with various qualities of service (QoS) requirements. To provide an end-to-end QoS, application terminals need to be adaptive and deal with network changing conditions. Knowledge has to be shared between network layers to obtain the highest possible adaptivity. In this context, we propose and evaluate an adaptive proportional fair algorithm with user multiplexing. Performance results show that the proposed algorithm is effective in reducing sojourn delays and in enhancing fairness among terminal users. The study investigates as well the impact of terminal categories with different levels of performance on our scheduling algorithm.

Key words: Adaptation, cross-layer, scheduling, quality of service, fairness.