Adaptive stochastic radio access selection scheme for cellular‐WLAN heterogeneous communication systems. Issue 15 (1st October 2016)

• Record Type: Journal Article
• Authors: Navaratnarajah, Shobanraj; Han, Chong; Dianati, Mehrdad; Imran, Muhammad Ali
• Is Part Of: IET communications. Volume 10:Issue 15(2016)
• Page Start: 1986
• Page End: 1994
• Publication Date: 2016-10-01
• Subjects: cellular radio -- stochastic processes -- radio access networks -- wireless LAN -- Markov processes -- energy conservation -- telecommunication power management; cellular‐WLAN heterogeneous communication system -- adaptive stochastic radio access selection scheme -- mobile user -- heterogeneous cellular‐wireless local area network system -- data chunk downloading -- ω probability -- signal quality -- network load -- continuous time Markov chain -- energy efficiency -- network throughput -- call blocking probability; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2015.1084
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : 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 .