Department of Electrical and Information Engineering, University of Nairobi, Nairobi 30197, Kenya.
ScientificWorldJournal. 2022 Aug 30;2022:5443160. doi: 10.1155/2022/5443160. eCollection 2022.
This paper proposes an aggressive cuckoo search algorithm for optimum power allocation in a CDMA-based cellular network. To make the cuckoo search algorithm aggressive, adaptive parameters are used to vary the step size and probability of discovery. Furthermore, the Lévy flight is replaced with the Beta distribution to further improve the performance of the algorithm. To prove that the proposed algorithm is superior, the algorithm is tested on 23 benchmark test functions and its results are compared with those of 10 other standard optimization algorithms and 4 other advanced optimization algorithms. The performance of the proposed algorithm is proved via the statistical analysis of the results using the Wilcoxon rank-sum test. The proposed algorithm is then utilized in determining the optimal uplink power for multiple users in a CDMA-based cellular network in three different scenarios through Rician fading channels. The resultant allocated power should ensure that each mobile station meets its predetermined signal-to-interference-and-noise ratio while utilizing the least amount of power.
本文提出了一种用于 CDMA 蜂窝网络中最优功率分配的激进布谷鸟搜索算法。为了使布谷鸟搜索算法具有攻击性，使用自适应参数来改变步长和发现概率。此外，用 Beta 分布代替 Lévy 飞行来进一步提高算法的性能。为了证明所提出的算法的优越性，将该算法在 23 个基准测试函数上进行了测试，并将其结果与其他 10 个标准优化算法和其他 4 个先进的优化算法进行了比较。通过使用 Wilcoxon 秩和检验对结果进行统计分析，证明了所提出算法的性能。然后，该算法通过瑞利衰落信道在三种不同场景下用于确定 CDMA 蜂窝网络中多个用户的最优上行链路功率。分配的功率应确保每个移动站在使用最少功率的同时满足其预定的信干噪比。
