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An efficient packet scheduling algorithm to improve the performance of cell-edge user in LTE network

机译:一种提高LTE网络中小区边缘用户性能的高效分组调度算法

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The scheduling algorithm of Long Term Evolution (LTE) is responsible for allocating the resource blocks (RB) efficiently to the end users. Different algorithms have different impact to the network in terms of throughputs, spectral efficiency, and fairness. However, previous algorithms are unable to enhance the cell-edge user performance due to the unawareness of the location of user and user congestion in the cell area. This paper proposes a downlink scheduling algorithm based on modified Exponential Proportional Fairness (EXP/PF) algorithm to improve the performance of the cell-edge user and all other users in the cell. The cell is divided into two regions namely outer and inner to differentiate the user in this proposed algorithm. It considers Received Signal Strength (RSS), a threshold value based on user congestion in the regions and the distance between eNodeB (eNB) and user. The obtained system-level simulation results show that the proposed algorithm significantly improves the cell-edge user throughput along with average user throughput, cell throughput, spectral efficiency and fairness index compared with the other existing algorithms.
机译:长期演进(LTE)的调度算法负责将资源块(RB)有效地分配给最终用户。就吞吐量,频谱效率和公平性而言,不同的算法对网络的影响不同。然而,由于对用户位置的不了解以及用户在小区区域的拥塞,先前的算法无法增强小区边缘用户的性能。本文提出了一种基于改进的指数比例公平(EXP / PF)算法的下行调度算法,以提高小区边缘用户和小区中所有其他用户的性能。在该算法中,小区被划分为两个区域,即外部区域和内部区域,以区分用户。它考虑了接收信号强度(RSS),基于区域中用户拥塞的阈值以及eNodeB(eNB)与用户之间的距离。获得的系统级仿真结果表明,与其他现有算法相比,该算法显着提高了小区边缘用户的吞吐量,以及平均用户吞吐量,小区吞吐量,频谱效率和公平性指标。

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