Ptimization of queue length and buffer size in 3g 4g network using mobile computing techniques

Abstract

Mobile Computing offers a convenient way to study Mobile data networks in newlinedata transmission with different level of implications [5]. The conventional setup newlineinitially focuses with the implementation of Mobile network learning schema that are newlineable to produce comprehensible models and that do not require excessive training newlinetimes. The real time implementation of mobile network domain is taken into account newlinefor the incorporation of estimation of optimized queue length and Efficient Buffer size newlineapproach which involves extracting symbolic models from mobile networks. newlineThe analytical schema focuses on the utilization of buffer size with the newlineimplementation of mobile network domain is taken into account for the 3G/4G mobile newlinedata network approach which involves demand based optimization of buffer size newlinemodels from mobile networks. newlineThe extraction schema pointing towards the implementation of optimized queue newlinelength in mobile data domain for our mobile device networks which are not directly newlineapplied for data transmission tasks in wifi hotspots. The actual real time newlineimplementation frequently needs the data transmission schema for the elaborate study newlineof the entire domain. This schema implement the mobile network concepts that are able newlineto study the 3G/4G mobile network analysis for the smart phone domain. The real time newlineimplementation of Mobile devices and mobile data network especially JIO network in newlineTirunelveli District Tamilnadu is taken into account for the incorporation of newlineoptimization of queue length and buffer size in mobile network approach which newlineinvolves the usage of 3G/4G mobile models from real time mobile market. newline