Close menu

SURE

Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

An adaptive hybrid scheduling algorithm for LTE-Advanced

Barakat, Basel and Arshad, Kamran (2015) An adaptive hybrid scheduling algorithm for LTE-Advanced. In: 2015 22nd International Conference on Telecommunications (ICT).

Item Type: Conference or Workshop Item (Paper)

Abstract

The 3 rd Generation Partnership Project (3GPP) introduced Long Term Evolution (LTE) in release 8, and afterwards it was updated significantly in later releases (referred to as LTE-Advanced). LTE and LTE-Advanced (LTE-A) aim to achieve higher spectral efficiency, higher data rates, robustness and flexibility. Intelligent channel-aware radio resource scheduling is one of the key features of LTE-A. A number of schedulers proposed in the literature rely on the feedback sent from the Users Equipment (UE) without considering the presence of feedback delay. In this paper, we analyse the effect of the uplink delay on the cell performance of existing schedulers, in terms of throughput and the users' fairness. We then propose an adaptive hybrid scheduler to overcome the effect of the uplink delay on the scheduler performance. The simulation results show that our proposed scheduling algorithm outperforms the existing schedulers in the presence of uplink feedback delay.

[img] PDF
An_adaptive_hybrid_scheduling_algorithm_for_LTE-Advanced.pdf - Published Version
Restricted to Repository staff only

Download (556kB)

More Information

Depositing User: Basel Barakat

Identifiers

Item ID: 14188
Identification Number: https://doi.org/10.1109/ICT.2015.7124663
ISBN: 9781479980789
URI: http://sure.sunderland.ac.uk/id/eprint/14188
Official URL: https://doi.org/10.1109/ICT.2015.7124663

Users with ORCIDS

ORCID for Basel Barakat: ORCID iD orcid.org/0000-0001-9126-7613

Catalogue record

Date Deposited: 17 Jan 2022 09:48
Last Modified: 20 Jun 2022 09:45

Contributors

Author: Basel Barakat ORCID iD
Author: Kamran Arshad

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Computing
Engineering

Actions (login required)

View Item (Repository Staff Only) View Item (Repository Staff Only)