Open AccessAdaptive stochastic radio access selection scheme for cellular‐WLAN heterogeneous communication systems
Author(s) -
Navaratnarajah Shobanraj,
Han Chong,
Dianati Mehrdad,
Imran Muhammad Ali
Publication year - 2016
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2015.1084
Subject(s) - computer science , computer network , cellular network , throughput , markov chain , wireless network , markov process , radio resource management , heterogeneous network , quality of service , wi fi , wireless , heterogeneous wireless network , telecommunications , mathematics , machine learning , statistics
This study proposes a novel adaptive stochastic radio access selection scheme for mobile users in heterogeneous cellular‐wireless local area network (WLAN) systems. In this scheme, a mobile user located in dual coverage area randomly selects WLAN with probability of ω when there is a need for downloading a chunk of data. The value of ω is optimised according to the status of both networks in terms of network load and signal quality of both cellular and WLAN networks. An analytical model based on continuous time Markov chain is proposed to optimise the value of ω and compute the performance of proposed scheme in terms of energy efficiency, throughput, and call blocking probability. Both analytical and simulation results demonstrate the superiority of the proposed scheme compared with the mainstream network selection schemes: namely, WLAN‐first and load balancing .