Self optimization of wireless cell load balancing based on machine learning technology

【 pick   want 】 Using machine learning method to load balance high traffic cells in real time is one of the important topics of wireless network intelligence , At present, there is still no mature application case . In view of this , Based on XGBoost as well as DNN Wireless cell load balancing parameter self optimization method , And the equilibrium switching events 、 Switching threshold for modeling and prediction . Experimental results show that , The switching event prediction accuracy of this method reaches 97.3%, The goodness of fit of switching threshold is 0.6~0.8, Can be efficient 、 Accurately realize the self optimization of load balancing .

【 key word 】 Load balancing ; machine learning ; Network intelligence ; Wireless network self optimization

0    introduction

With 4G/5G The continuous in-depth construction of the network , The cost of wireless network operation and maintenance has risen sharply , The combination of artificial intelligence technology and wireless network operation and maintenance has become an important solution . At present, the research in this field is still in the exploratory stage , The literature [1] This paper discusses the application of artificial intelligence technology in abnormal data diagnosis 、 Index trend prediction 、 The application of small area expansion , The literature [2] The application of machine learning in wireless network planning is given , The literature [3] This paper combs the current research and application progress of artificial intelligence in the field of communication , And gives the intelligent network solution , The literature [4] This paper discusses the application of multiple linear regression model in 5G Application in power consumption modeling , The literature [5-7] From the flow prediction 、 User perceived rate prediction 、 Cognitive wireless network optimization and other high-order applications have been studied , The literature [8] and [9] The difficulties of artificial intelligence technology in network operation and maintenance are given , The literature [10] and [11] Artificial intelligence in 5G Discussion on Application in network . In recent years , Although autonomous in Optical Wireless Networks 、 Resource allocation 、 Mobility management and other aspects are studied [12-13], However, the research and application of self optimization of network parameters based on machine learning is still less .

Wireless cell load balancing [14] Optimization refers to the specific wireless environment , By means of wireless parameter adjustment, the traffic of cells with a certain coverage overlap in the same station can be evenly shared , It is the key direction of communication network perception optimization in recent years . The existing load balancing optimization can only compare the relationship between the load uneven cell pairs in the same sector one by one according to human experience , With