QoS and energy-efficiency aware scheduling and resource allocation scheme in LTE-A uplink systems

Chol Jong (), Yong Chun Kim, Jun Ho So and Kum Chol Ri
Additional contact information
Chol Jong: Kim Il Sung University
Yong Chun Kim: Kim Il Sung University
Jun Ho So: Kim Il Sung University
Kum Chol Ri: Kim Il Sung University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2023, vol. 82, issue 2, No 1, 175-191

Abstract: Abstract With the fast evolution of the wireless communications, the energy consumption of mobile network and the data flow in the network are increasing. Thus, it is very important to increase the Energy Efficiency (EE) and reduce packet loss rate. This article surveys the scheduling and resource allocation algorithm to reduce packet loss rate while increasing EE in the uplink of Long Term Evolution-Advanced system. Here, new framework that refers previous value as an optimization value of the optimization problem solving process is proposed. Furthermore, the mathematical model of the process is defined as NP-Hard problem and the new solving method is proposed. We propose 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 advantage of the proposed scheme, simulations are carried out in various size of cells like Femto cell, Pico cell, Micro cell and others and the study results are compared for the effectiveness of proposed methods. Simulation results show that the proposed algorithm enhances EE, as well as, QoS provision for different types of services.

Keywords: Energy efficiency; LTE-A; Scheduling; Resource allocation; QoS (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11235-022-00980-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:82:y:2023:i:2:d:10.1007_s11235-022-00980-5

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11235

DOI: 10.1007/s11235-022-00980-5

Access Statistics for this article

Telecommunication Systems: Modelling, Analysis, Design and Management is currently edited by Muhammad Khan

More articles in Telecommunication Systems: Modelling, Analysis, Design and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().