Multi-cell Dynamic Soft Combining Algorithm Based On User Distribution

In wireless mobile network,intra-cell interference is a major factor which resulting the degradation of the service quality of cell-edge users.In order to cope with the explosive growth of data volume in the future,the most effective way to increase the network capacity of communication systems is to increase frequency reuse by increasing cell deployments.However,the dense network will also bring severe challenge,especially the inter-cell interference will become more serious and more complex,which will inevitably greatly increase the proportion of edge users,affecting the quality of service users.As a key technology in wireless communication systems,cell combine is regarded as a solution that effectively improves the network coverage quality and has received increasing attention from the industry.Through cell combine,inter-cell interference can be effectively reduced,and user experience,especially the service quality of the edge users,are improved.However,cell combine also has certain deficiencies,which reduces the multiplexing of frequency resources and makes the network capacity somewhat decline.Therefore,facing the severe interference problems in the dense networking environment and the advantages and disadvantages of cell combine,this paper has done the following work: Firstly,in the case of dense networking,the interference between cells becomes more complex.At this time,the resource management algorithms for the entire network are more complex.From the perspective of reducing the complexity of the algorithm,this paper proposes a cell clustering algorithm based on user characteristics,which greatly reduces the complexity of subsequent resource management methods by clustering cells.Secondly,cell combined is an effective means to improve the network coverage quality,but it also has obvious defects.It reduces the reuse of frequency resources in order to obtain better coverage quality.This paper proposes a soft-merge algorithm based on user distribution from the perspective of guaranteeing edge user service quality and ensuring network capacity.The algorithm uses the edge user cluster as the target of soft-combination,and performs multi-cell integration scheduling so as to achieve the purpose of guaranteeing the quality of service of the edge user.The central user is separately scheduled to ensure the network quality while ensuring the quality of the edge user.Finally,this paper mainly studies the problem of peer-to-peer interference between micro-stations.The problem of interference between the macro station and the micro station in the dense network environment,and the increase of the interference space freedom due to the use of multi-antenna technology will continue to be investigated and analyzed.