Link Capacity Based Channel Assignment (LCCA) for Cognitive Radio Wireless Mesh Networks

Authors

  • Wajahat Maqbool Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Pakistan
  • Sharifah K. Syed Yusof UTM-MIMOS, Center of Excellence for Telecommunication Technology Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • N. M. Abdul Latiff UTM-MIMOS, Center of Excellence for Telecommunication Technology Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Hashim S. UTM-MIMOS, Center of Excellence for Telecommunication Technology Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Rahat U. UTM-MIMOS, Center of Excellence for Telecommunication Technology Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Zubair K. UTM-MIMOS, Center of Excellence for Telecommunication Technology Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Bushra N. Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Pakistan

DOI:

https://doi.org/10.11113/jt.v65.1754

Keywords:

Cognitive radio (CR), interference, channel assignment (CA), wireless mesh networks, primary user (PUs), secondary users (SUs)

Abstract

Cognitive radio wireless mesh network (CRWMN) is expected as an upcoming technology with the potential advantages of both cognitive radio (CR) and the wireless mesh networks (WMN). In CRWMN, co-channel interference is one of the key limiting factors that affect the reception capabilities of the client and reduce the achievable transmission rate. Furthermore, it increases the frame loss rate and results in underutilization of resources. To maximize the performance of such networks, interference related issues need to be considered. Channel assignment (CA) is one of the key techniques to overcome the performance degradation of a network caused by the interferences. To counter the interference issues, we propose a novel CA  technique which is based on link capacity, primary user activity and secondary user activity. These three parameters are fed to the proposed weightage decision engine to get the weight for each of the stated parameters. Thus, the link capacity based channel assignment (LCCA) algorithm is based on the weightage decision engine. The end-to-end delay, packet delivery ratio and the throughput is used to estimate the performance of the proposed algorithm. The numerical results demonstrate that the proposed algorithm is closer to the optimum resource utilization.

 

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Published

2013-10-25

Issue

Vol. 65 No. 1: Nov. 2013

Section

Science and Engineering

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Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.

How to Cite

Link Capacity Based Channel Assignment (LCCA) for Cognitive Radio Wireless Mesh Networks. (2013). Jurnal Teknologi, 65(1). https://doi.org/10.11113/jt.v65.1754