An efficient scheduling scheme for heterogeneous services in OFDMA based 5G LTE-Advanced network with carrier aggregation

Abstract

The 5G LTE-Advanced with Carrier Aggregation (CA) technology is a promising next generation of all IP mobile networks which has been invented and developed by 3GPP. The CA technique is very vital to support the 5G LTE-A network with unprecedented speed of data transmission and minimal latency. One of the main challenges in the presence of CA is to offer robust and suitable resource scheduling scheme in order to support and fulfill the user level Quality-of-Services (QoS) requirements for diversified services "Real-Time (RT) and Non-Real-Time (NRT) traffic". In this paper, a User-Level Quality of Service aware packet scheduling for OFDMA resource blocks in 5G LTE-A system with CA scheme is designed. An improved Joint User Carrier Scheduling algorithm (IJUCS) suitable to various traffic users is proposed by introducing the service weight factor. The design objective is to guarantee the user quality of service (QoS) and equitable allocation of radio resources among users. The simulation outcome demonstrates that proposed IJUCS has mitigate average packet delay, Packet Drop Rate (PDR), and variation of average packet drop (STD) of real-time users as compared to the conventional JUCS and fulfils the user's throughput requirements of NRT streaming video traffic.