湖南大学学报（自然科学版）2023，Vol.50Issue(12)：39-48,10.DOI:10.16339/j.cnki.hdxbzkb.2023295
基于改进樽海鞘群算法的认知异构蜂窝网络资源分配
Cognitive Heterogeneous Cellular Network Resource Allocation Based on Improved Salp Swarm Algorithm
摘要
Abstract
For the uplink resource allocation problem of cognitive heterogeneous cellular networks,a resource allocation algorithm based on bandwidth and power constraints is proposed and solved using an improved swarm intel-ligence algorithm.Based on the characteristics of cognitive radio technology,a range of bandwidth and power alloca-tion values for cognitive home users are derived,and more resources are allocated to other users under the guarantee of satisfying user quality of services(Quality of Services,QoS)to enhance the transmission demand of users in the network and relieve the uplink access load of the network.To address the shortcomings of the bottleneck swarm algo-rithm such as low convergence accuracy and slow convergence,the crazy operator and dynamic elite learning factor are introduced into the leader and follower,respectively,to improve the algorithm's optimality-seeking efficiency and optimality-seeking accuracy.The improved Salp swarm algorithm is solved for the resource allocation algorithm based on bandwidth and power constraints.Simulation experiments show that the resource allocation algorithm with the introduction of bandwidth and power constraints can be effective in improving network performance,and it can effectively improve system efficiency and user access fairness under the condition of ensuring user QoS.关键词
认知异构蜂窝网络/带宽和功率约束/樽海鞘群算法/资源分配/能量效率Key words
cognitive heterogeneous cellular network/bandwidth and power constraints/Salp swarm algorithm/resource allocation/energy efficiency分类
电子信息工程引用本文复制引用
张达敏,邓佳欣,王义,田小情..基于改进樽海鞘群算法的认知异构蜂窝网络资源分配[J].湖南大学学报（自然科学版）,2023,50(12):39-48,10.基金项目
国家自然科学基金资助项目(62062021,61872034),National Natural Science Foundation of China(62062021,61872034) （62062021,61872034）
贵州省科学技术基金(黔科合基础[2020]1Y254),Guizhou Provincial Science and Technology Projecls(Guizhou Science Foundation-ZK[2020]1Y254) （黔科合基础[2020]1Y254）
