Cross-Layer Energy Efficient Radio Resource Management Scheme with QoS Provision in LTE-Uplink Systems

Abstract

With the Internet of things and other network devices demanding faster and more reliable connectivity, combined with exponential data growth, LTE-Advanced system provides high data rate and low latency with increased mobility for multimedia applications and improved spectral efficiency. LTE-A also provides support to machine type communication (MTC) devices which describes the communication with machines without the engrossment of a humanoid. These MTC devices with the application of IoT provide small amount of sensing and monitoring data with low data rate requirement. In order to improve the performance of the LTE-A system, the radio resources for every user in the network should be efficiently managed by providing QoS requirements for every user. The radio resource management algorithm in LTE-A network provides cross-layer resource allocation between the user equipment (UE) and MTC devices. Since all the MTC devices are sensor nodes and battery powered equipment, they should consume very little amount of power. In this work, we propose a cross-layer energy efficient radio resource management scheme for allocating the physical resources to UE and MTC devices. Rate adaptive (RA) principle is utilized in this work to improve the energy efficiency and to upsurge the capacity of the channels. The performance of the system is evaluated by calculating the data rate of each user and allocating the resource to each user, packet loss ratio, fairness index, packet delay, peak signal-to-noise ratio, and time consumption. With the comparison of the existing algorithms, the simulated results obtained from the proposed algorithm guarantees QoS service to the user by consuming less energy for UE and MTC devices with increased fairness index and decreased packet loss.