5G Long Term Evolution-Advanced (LTE-A) network based Carrier Aggregation (CA) technique is a promising next generation of all IP mobile networks. The CA technique is very vital to support the 5G LTE-A network with unprecedented speed of data transmission and minimal latency. In order to support and meet the user level Quality-of-Services (QoS) obligations for diversified services “Real-Time (RT) and Non-Real-Time (NRT) traffic”, one of the main challenges in the presence of CA is to offer robust and suitable resource scheduling scheme. For each transmission, the Channel Quality Information (CQI) for individual wireless channel is sent back to the base station eNB, which is used for selecting the suitable modulation and coding scheme. However, prospect delays in the reception of such CQI may lead degradation in QoS performance due to a mismatch between CQI and current channel state at the eNB. This paper, proposes an Improved Joint Carrier Scheduling (IJCS) algorithm which optimizes the performance of User-Level Quality of Service in 5G LTE-A system. The IJCS scheme is more suitable to various traffic users by introducing the service weight factor. As for different feedback delays, both carrier scheduling algorithms namely, JCS and IJCS scheme’s metrics were computed in order to achieve the user quality of service (QoS) and equitable allocation of radio resources among users. Furthermore, a comparison between these schemes metrics was done under different feedback delays to select the best one that can satisfy the user-level QoS constraints. Simulation outcomes demonstrate that the proposed IJCS scheme has achieve the QoS demands for real-time users and fulfils the user’s throughput requirements of NRT streaming video.
