Enabling video services in LTE network via optimization of QoS-aware scheduling algorithm Available to Purchase

The Long-Term Evolution (LTE) system was presented by the 3rd Generation Partnership Project (3GPP), to assure quality of service (QoS) performance pertaining to non-real-time and real-time services. An effective design with regards to resource allocation scheduling involves core challenges to realise a satisfying service in an LTE system, particularly with the growing demand for network applications especially for real-time video services, which is an ongoing problem. The continuous rise in terms of the number of network’s users has resulted in impact on the performance of network, that also creates resource allocation issues when performing downlink scheduling in an LTE network. This research paper puts forward a review of the optimisation pertaining packet scheduling performance through the LTE downlink system, and presenting a new downlink-scheduling algorithm for serving video application through LTE network that accounting for QoS and channel conditions needs. A comparison of the recommended algorithm’s performance was made with algorithms are commonly used in scientific research such as Proportional Fair (PF), Modified Largest Weighted Delay First (MLWDF), Exponential PF (EXP/PF), and Exponential Rule (EXPRULE) algorithms, regards to delay, throughput, Packet Loss Ratio (PLR), and fairness for video flow. On the basis of the attained outcomes, the recommended algorithms considerably enhance the efficacy of video streaming as against the familiar LTE algorithms recommended in this research work.