Real time multi feature streaming Approximation based location Selection and random deployment For improved data rate in 5g sdn Networks

Abstract

The growing use of internet technology encourages the users to access newlinedifferent network services. The modern society performs various activities in newlineits day to day life through internet communication and it performs, its most newlineimportant officials and personal works through of network services. The most newlineof the networks provide various services which can be accessed by the users newlineof the network to complete specific job. Such services are accessed through newlinemobile devices, PDA and so on. However, the users access different network newlineservices and some of them require higher data rate and extended bandwidth. newlineFor example, if a network user accesses video conferencing services, it will newlineclaim higher data rate and bandwidth. newlineTo support such higher data streaming, 5G networks has been newlineinvented. It comes with both the existing components of 4G networks and newlinededicated components like Macro cells, small cells. However, the presence of newlinemacro cells and small cells provides higher data rates in the location within newlinecities or in the location where number of components exist. But, when the newlinemobile user moves out of city, the data rate becomes literally impossible to newlineachieve. newlineHowever, to improve the data rate and to provide higher data newlinestreaming, number of techniques have been discussed. Most of the methods newlineconsider the bandwidth or traffic to perform data streaming. This result poor newlineperformance in data streaming and increases the requirement of designing newlineefficient streaming approaches. In order to improve first an efficient multi newlinefeature bandwidth utilization and data rate maintenance scheme has been newlinepresented. newline