Mobile Switching Method In Ultra Dense Network

Ultra Dense Network(UDN)is one of the key technologies of the fifth generation mobile communication system(5G),which provides wireless access and services for hot areas.In the indoor hotspot area,the radius of the access point(AP)is reduced,resulting in frequent handover of the UE and increasing probability of data transmission interruption.In the outdoor hotspot areas,APs are densely deployed,unbalanced services are distributed in the domain of time and space,the tidal effect is obvious,and the data transmission throughput needs to be dynamically adjusted to the rapid changed network environment.Therefore,focusing on the two different deployment scenarios in UDN,this paper studies the characteristics in each scenario,then design an effective mobile switching methods respectively,to maintain the continuity of the business.Firstly,in the local indoor hot area,we propose a user-centric APs clustering(UCC)method for mobility management in UDN.In order to solve the problems that the data transmission interruption rate is large and the UE frequently switches between APs,UCC method adopts the user-centric idea,and each UE is assigned a dynamic UCC which always follows UE correspondingly.In order to provide the UE with better service in real time,the UCC method dynamically updates the UCC according to the change of the UE’s moving direction,the AP’s location,and the AP’s cooperation service gain.Secondly,in the local outdoor hot area,we propose a maximum data transmission rate oriented dynamic APs grouping(MDTR-DAPGing)method in UDN.In order to solve the problem that the UE data transmission interruption rate is large and the throughput is small,MDTR-DAPGing method performs a series of operations on the AP group(APG),such as APG initiating,APG updateing and APG revoking,based on the data transmission rate of APs and UEs.Focus on the two methods,this paper also performs some other operations on them,such as explain the process of the methods,analysis the signaling interaction,analysis the instance scenario and design the corresponding algorithm.In addition,we evaluate the performance of both methods in Visual Studio C++ experimental environment,the reference factor includes data transmission interruption rate and throughput.