摘要
该模型针对控制通道的小区间干扰协调对于区域控制资源消耗分析的重要性,重点改进了小区间干扰协调所产生的峰值信噪比平均分布的尾部,减少了控制资源的平均消耗。同时,引入多目标差分进化算法,采用可变参数动态调整策略进行多目标优化算法的性能改进,并对长期演进的蜂窝网络的下行链路进行优化,实现了模型功率优化性能提升。最后,通过在标准测试函数上的实验对比,验证了算法的有效性,并将其应用在LTE信道干扰的物理下行链路多目标功率优化中,实现了应用性能提升。
This model is aimed at the importance of improve inter-cell interference coordination of control channels for the analysis of regional control resource consumption,focuses on improving the tail of the average distribution of peak signal-to-noise ratio generated by inter-cell interference coordination,and reduces the average consumption of control resources.At the same time,the multi-objective differential evolution algorithm is introduced,the variable parameter dynamic adjustment strategy is used to improve the performance of the multi-objective optimization algorithm,and the downlink of the long-term evolution cellular network is optimized to improve the model power optimization performance.Finally,the effectiveness of the algorithm is verified by the experimental comparison on standard test functions.The algorithm is applied to the physical downlink multi-objective power optimization of LTE channel interference and the application performance is improved.
作者
胡静波
王欢
HUJing-bo;WANG Huan(School of Electrical and Electronic Engineering,Baoji University of Arts and Sciences,Baoji 721016,China;School of Computer,Baoji University of Arts and Sciences,Baoji 721016,China)
出处
《控制工程》
CSCD
北大核心
2021年第7期1416-1422,共7页
Control Engineering of China
基金
国家自然科学基金资助项目(61971005)
陕西省科技计划项目(2018GY-050)
陕西省教育厅项目(16JS008)
宝鸡市科技计划项目(2018-JH12)
宝鸡文理学院项目(ZK16053)。
关键词
长期演进
信道干扰
下行链路
多目标
功率优化
Long-term evolution
channel interference
downlink
multi-objective
power optimization
