Abstract

Integration of efficient scheduling policies in radio resource management (RRM) strategies is nowadays, of a paramount importance for the success deployment of wireless Long Term Evolution (LTE) systems. This is particularly effective for downlink where data rates are important and where scheduling decision should enable to allocate, in each Transmission Time Interval (TTI), appropriate resource blocks (RBs) to each mobile user equipment (UE) taking into account several criteria such as channel quality and fairness requirements. In this paper we propose a novel packet scheduling algorithm developed for downlink LTE systems and we investigate its performances compared to three existing scheduling algorithms i.e. Time and Frequency Domain Round Robin (FDRR) Downlink, Best CQI and MY SCH Not Fair [1]. Performance analysis of these algorithms is investigated by simulation of different scenarios in order to evaluate and compare several metrics such as global cell throughput, achievable user throughput and the number of served users. Numerical results show that the implementation of our new proposed algorithm provides significant improvements of the overall system capacity. The main contribution of this algorithm is to enable a better trade off between throughput and fairness compared to the above algorithms.

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