Regression based prediction model for handover control parameter configuration in lte a network

Abstract

The Third Generation Partnership Project 3GPP has developed Long Term Evolution Advanced LTE A network standard with a motive to provide higher bitrates in a cost efficient manner through the incorporation of various technical enhancements They are Carrier Aggregation Multiple Input Multiple Output MIMO Relays and Heterogeneous Network HetNet deployment Among these HetNet is a deployment strategy which involves deployment of a diverse set of base stations with different transmit power levels on to the layer of macro cells This strategy is widely accepted by the network operators as it enriches the network capacity guarantees hotspot coverage, and provides low deployment cost However mobility management becomes crucial in HetNet deployment when compared with the homogeneous deployment The mobility of User Equipment UE in the connected state is managed through a network controlled UE assisted and hard Handover HO procedure It involves various phases such as i HO preparation ii HO execution and iii HO completion In the HO preparation phase the serving base station configures the UE to send the Measurement Report MR either periodically or based on certain events Mostly the event based reporting criterion is preferred by the network operators to avoid the wastage of network resources An A3 event defined by 3GPP is predominantly used for MR transmission as it occurs on the basis of relative comparisons of the signal strength of both the serving and target base station In addition due to the momentary fading characteristics of the wireless environment the A3 event might occur repeatedly which initiates the frequent transmission of MR thereby degrading the HO performance Thus a parameter called Time To Trigger TTT has been introduced to circumvent this issue newline