Qos And Energy-Efficiency Aware Scheduling And Resource Allocation Scheme In LTE-A Uplink Systems


The respected Comrade Kim Jong Un said:

"Great efforts should be made in the field of cutting-edge science and technology to develop technologies with a world-class competitive edge. We should make it our major thrust to develop such core, basic technologies as IT, nanotechnology and bioengineering, along with such pivotal and beneficial scientific and technological fields as new materials and energy, space and nuclear technologies, and concentrate our efforts on them."

Enhancing the QoS and Reducing the energy consumption through appropriate scheduling and resource allocation has a great significance in LTE-A networks.

Recently, researchers of High-Technology Development Institute, Kim Il Sung University, have studied a scheduling scheme to reduce packet loss rate while increasing energy efficiency (EE) in the uplink of Long-Term Evolution-Advanced system.

Firstly, we have researched a scheduling method to increase EE in uplink of LTE-A.

Here, new framework that refers previous value as an optimization value of the optimization problem solving process when updating EE value versus a time according to the difference equation is proposed. Furthermore, the mathematical model of the process is defined as NP-Hard problem and the new solving method is proposed.

Then, we have proposed a user priority metric, considering that the demand for packet loss rate and packet delay are different according to the Quality of Service (QoS) Class Identifier (QCI). For Guaranteed Bit Rate (GBR) and Non-GBR services, the proposed algorithm uses the user priority metric taking into account not only the uplink buffer status, but also the different characteristics of packet loss mechanism and energy efficiency, to select users in scheduling.

To demonstrate the effectiveness and availability of the proposed method, it is simulated in different situations with various number of UE like Femto cell, Pico cell and Micro cell, the simulation result is compared to the existing schemes.

Simulation results show that the proposed algorithm enhances EE, as well as, QoS provision for UE with different types of services.

We have published this research results in SCI journal "Telecommunication Systems" under the title of "QoS and energy-efficiency aware scheduling and resource allocation scheme in LTE-A uplink systems "(