Frame based back-off for Q-learning RACH access in LTE networks

Author

Bello, Lawal Mohammed ; Mitchell, Paul ; Grace, David

Author_Institution

Dept. of Electron., Univ. of York, York, UK

fYear

2014

fDate

26-28 Nov. 2014

Firstpage

176

Lastpage

181

Abstract

This paper introduces a novel back-off scheme to improve the performance of a Q-learning based RACH access (QL-RACH) scheme. A Frame-based Back-off with QL-RACH (FB-QL-RACH) scheme is proposed. The scheme reduces the probability of collision between Human-to-Human (H2H) and Machine-to-Machine (M2M) users when sharing the same frame for both the initial access and the back-off. Also the probability of idle slots caused by M2M back-off in the QL-RACH scheme is eliminated. In addition the paper also considers the interaction of Poisson and Periodic traffic models in sharing the RACH. Simulation results show that the new back-off scheme improves the overall RACH throughput by around 70%. The results also show that both traffic distributions can be controlled using QL-RACH.

Keywords

Long Term Evolution; Poisson equation; access protocols; telecommunication traffic; FB-QL-RACH scheme; H2H users; LTE networks; M2M users; Poisson traffic model; Q-learning RACH access; collision probability; frame based back-off; human-to-human users; machine-to-machine users; periodic traffic model; random access channel; Load modeling; Protocols; Standards; Telecommunication traffic; Throughput; Uplink; LTE-Network; Machine-to-Machine; Medium Access Control; Q-learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunication Networks and Applications Conference (ATNAC), 2014 Australasian

Conference_Location

Southbank, VIC

Type

conf

DOI

10.1109/ATNAC.2014.7020894

Filename

7020894