基于布谷鸟搜索算法的长期演进(LTE)系统分数频率复用性能优化

Eman S. Abushabab, M. Khodier, Shereen S. Ismail
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引用次数: 6

摘要

本研究的主要目标是利用布谷鸟搜索(CS)算法来优化蜂窝网络系统的分数频率复用(FFR)。FFR是一种非常适合于基于OFDMA的蜂窝网络系统,如长期演进系统(LTE)的干扰管理技术。本文提出了一种利用CS算法选择严格FFR中胞内区域半径最优值的机制,使吞吐量和用户满意度同时最大化。之所以选择CS算法,是因为它易于理解和实现,并且与其他优化算法相比,需要调优的参数数量有限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance optimization of fractional frequency reuse in Long Term Evolution (LTE) systems using Cuckoo Search algorithm
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.
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