基于中继节点位置和功率的粒子群优化小区规划

Rana M. Mokhtar, H. Abdel-Atty, K. Mahmoud
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引用次数: 1

摘要

为克服蜂窝网络的障碍而进行的持续研究促使我们专注于用经济有效的解决方案消除用户在蜂窝边缘遇到的覆盖问题。在本文中,我们初步提出了一种通过中继节点的小区规划方案。因此,部署了中继节点的两个阶段;边缘中继节点和配套的中间中继节点。此外,为了提高电池的效率,我们将优化算法应用于上述场景,通过粒子群优化算法(PSO)得出最优方案。仿真结果的评价超过了粒子群算法。因此,本文介绍了以合理的费用提供最佳覆盖范围的最佳方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cell Planning based on Relay-Nodes Positions and Power using Particle Swarm Optimization
The continuous research to overcome the obstacles of cellular networks has motivated us to focus in eliminating the coverage problems that users experience at the cell edge with a cost-effective solution. In this paper, we initially propose a scenario of the cell plan through the relay nodes. Thus, two stages of the relay nodes are deployed; edge relay nodes and the supporting intermediate relay nodes. Furthermore, to increase the efficiency of the cell, we applied an optimization algorithm to the said scenario to reach an optimum plan through a particle swarm optimization algorithm (PSO). The evaluation of simulation results outweighed the PSO algorithm. Hence, the optimum plan which provides the best coverage with a reasonable cost is introduced herein.
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