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Performance optimization of fractional frequency reuse in Long Term Evolution (LTE) systems using Cuckoo Search algorithm

机译:使用Cuckoo搜索算法的长期演进(LTE)系统分数频率重用的性能优化

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The main goal of this work is to use the Cuckoo Search (CS) algorithm to optimize Fractional Frequency Reuse (FFR) of cellular network systems. FFR is an interference management technique well suited to OFDMA based cellular network systems, such as Long Term Evolution system (LTE). This paper proposes a mechanism that selects the optimal value of inner cell region radius in strict FFR that maximize both throughput and User Satisfaction together using CS algorithm. The CS algorithm has been chosen as it is easy to understand and implement and has limited number of arguments to tune when compared with other optimization algorithms.
机译:这项工作的主要目标是使用Cuckoo搜索(CS)算法优化蜂窝网络系统的分数频率重用(FFR)。 FFR是一种干扰管理技术,其适用于基于多马的蜂窝网络系统,例如长期演进系统(LTE)。本文提出了一种机制,其在严格的FFR中选择内部电池区域半径的最佳值,可以使用CS算法将吞吐量和用户满意度最大化。 CS算法已被选中,因为与其他优化算法相比,易于理解和实现并具有有限的参数次数。

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