Bidirectional resource scheduling algorithm for advanced long term evolution system

Abstract

The 5G long term evolution-advanced (LTE-A) system aims to offer unprecedent data rates, user experience, and minimal latency amongst the end users with the introduction of carrier aggregation (CA) technology. Radio resource management (RRM) with scheduler is responsible for satisfying the user quality of service (QoS) requirements through resource allocation. Due to the need for an uninterrupted bidirectional communication between the eNodeB and user equipment (UE) in LTE-A, the joint scheduling algorithm is acknowledged as a central research prospect. In this article, a modified joint uplink/downlink (UL/DL) user carrier scheduling algorithm satisfying demand service requests UE, is proposed. The joint optimization of the subcarrier assignment in an orthogonal frequency-division multiplexing-based network is utilized to balance the resource coupling between the UL/DL directions. CA is used to determine the weight factors required for the bandwidth allocation within the mobile users based on the QoS class identifier. These weight factors are employed as probability functions for resource allocation. The proposed algorithm will reduce the computational complexity arised in the conventional joint UL/DL scheduling algorithm based on the suboptimal solutions via probability functions. The simulation results show that the packet loss rate and packet delay among the mobile users are substantially reduced for both real-time and nonreal-time services.