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.

 

References

I. F. Akyildiz, W.-Y. Lee, M. C. Vuran, and S. Mohanty. 2006. Next Generation/Dynamic Spectrum Access/Cognitive Radio Wireless Networks: A Survey. Computer Networks. 50: 2127–2159.

Z. Guoan, G. Jinyuan, and B. Zhihua. 2010. Distributed joint Routing and Channel Allocation Algorithm in Cognitive Wireless Mesh Networks. In Broadband Network and Multimedia Technology (IC-BNMT), 2010 3rd IEEE International Conference on. 432–437.

N. Bouabdallah, B. Ishibashi, and R. Boutaba. 2011. Performance of Cognitive Radio-Based Wireless Mesh Networks. Mobile Computing, IEEE Transactions on. 10: 122–135.

B. Ishibashi and R. Boutaba. 2009. The Symbiosis of Cognitive Radio and Wireless Mesh Networks. In Guide to Wireless Mesh Networks, S. Misra, S. Misra, and I. Woungang, Eds., ed: Springer London. 471–496.

L. Dong Heon, J. Wha Sook, and J. Dong Geun. 2010. Joint Channel Assignment and Routing in Cognitive Radio-Based Wireless Mesh Networks. In Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st. 1–5.

R. C. Pereira, R. Demo Souza, and M. E. Pellenz. 2008. Using Cognitive Radio for Improving the Capacity of Wireless Mesh Networks," in Vehicular Technology Conference, VTC 2008-Fall. IEEE 68th, 2008. 1–5.

R. Pereira, R. Souza, and M. Pellenz. 2010. Overlay Cognitive Radio in Wireless Mesh Networks," Wireless Personal Communications. 55: 237–251, 2010/10/01.

L. Qiu, Y. Zhang, F. Wang, M. K. Han, and R. Mahajan. 2007. A general Model Of Wireless Interference. Presented at the Proceedings of the 13th Annual ACM international Conference on Mobile Computing and Networking, Montréal, Québec, Canada.

L. Jeongkeun, L. Sung-Ju, K. Wonho, J. Daehyung, K. Taekyoung, and C. Yanghee. 2009. Understanding Interference and Carrier Sensing in Wireless Mesh Networks. Communications Magazine, IEEE. 47: 102–109.

N. Nie, C. Comaniciu, and P. Agrawal. 2007. A Game Theoretic Approach to Interference Management in Cognitive Networks. In Wireless Communications. vol. 143, P. Agrawal, P. Fleming, L. Zhang, D. Andrews, and G. Yin, Eds., ed. Springer New York. 199–219.

N. Nie and C. Comaniciu. 2006. Adaptive Channel Allocation Spectrum Etiquette for Cognitive Radio Networks. Mob. Netw. Appl. 11: 779–797.

S. Haykin. 2005. Cognitive Radio: Brain-empowered Wireless Communications. Selected Areas in Communications. IEEE Journal on. 23: 201–220.

G. Alnwaimi, K. Arshad, and K. Moessner. 2011. Dynamic Spectrum Allocation Algorithm with Interference Management in Co-Existing Networks. Communications Letters, IEEE. 15: 932–934.

H. Skalli, S. Ghosh, S. K. Das, L. Lenzini, and M. Conti. 2007. Channel Assignment Strategies for Multiradio Wireless Mesh Networks: Issues and Solutions. Communications Magazine, IEEE. 45: 86–95.

W. Huahui, R. Jian, and L. Tongtong. 2010. Resource Allocation with Load Balancing for Cognitive Radio Networks. In Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE. 1–5.

W. Wei, K. G. Shin, and W. Wenbo. 2011. Joint Spectrum Allocation and Power Control for Multihop Cognitive Radio Networks. Mobile Computing, IEEE Transactions on. 10: 1042–1055.

N. Duy Trong and T. Le-Ngoc. 2011. Distributed Resource Allocation for Cognitive Radio Networks With Spectrum-Sharing Constraints. Vehicular Technology, IEEE Transactions on. 60: 3436–3449.

D. R. Joshi, D. C. Popescu, and O. A. Dobre. 2012. Joint Spectral Shaping and Power Control in Spectrum Overlay Cognitive Radio Systems. Communications, IEEE Transactions on. 60: 2396–2401.

W. Weiwei, B. Kasiri, C. Jun, and A. S. Alfa. 2011. Channel Assignment of Cooperative Spectrum Sensing in Multi-Channel Cognitive Radio Networks. In Communications (ICC), 2011 IEEE International Conference on. 1–5.

H. M. Almasaeid and A. E. Kamal. 2010. Receiver-Based Channel Allocation for Wireless Cognitive Radio Mesh Networks. In New Frontiers in Dynamic Spectrum, 2010 IEEE Symposium on. 1–10.

H. Anh Tuan, L. Ying-Chang, and M. H. Islam, 2010. Power Control and Channel Allocation in Cognitive Radio Networks with Primary Users' Cooperation. Mobile Computing, IEEE Transactions on. 9: 348–360.

F. C. C. S. P. T. Force. 2002. Report of the Interference Protection Working Group.

H. Anh Tuan and L. Ying-Chang. 2008. Downlink Channel Assignment and Power Control for Cognitive Radio Networks. Wireless Communications, IEEE Transactions on. 7: 3106–3117.

H. Anh Tuan and L. Ying-Chang. 2006. Maximizing Spectrum Utilization of Cognitive Radio Networks Using Channel Allocation and Power Control. In Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th. 1–5.

W. Jiao and H. Yuqing. 2010. A Cross-layer Design of Channel Assignment and Routing in Cognitive Radio Networks. In Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on. 542–547.

D. C. Popescu, D. R. Joshi, and O. A. Dobre. 2010. Spectrum Allocation and Power Control in OFDM-Based Cognitive Radios with Target SINR Constraints. In Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on. 1891–1895.

H. Anh Tuan, L. Ying-Chang, and M. H. Islam. 2007. Maximizing Throughput of Cognitive Radio Networks with Limited Primary Users' Cooperation. In Communications, 2007. ICC '07. IEEE International Conference on. 5177–5182.

Masrub, A.; Al-Raweshidy, H. S. 2012. Priority-based Cooperative Access for Cognitive Wireless Mesh Networks, Future Generation Communication Technology (FGCT), 2012 International Conference, 12-14 Dec.

M. Ahmadi and P. Jianping. 2011. Cognitive Wireless Mesh Networks: A Connectivity Preserving and Interference Minimizing Channel Assignment Scheme. In Communications, Computers and Signal Processing (PacRim), 2011 IEEE Pacific Rim Conference on. 458–463.

G.-a. Zhang, J.-y. Gu, Z.-h. Bao, C. Xu, and S.-b. Zhang. 2012. Joint Routing and Channel Assignment Algorithms in Cognitive Wireless Mesh Networks. Transactions on Emerging Telecommunications Technologies.

H. A. Bany Salameh. 2011. Throughput-oriented Channel Assignment for Opportunistic Spectrum Access Networks. Mathematical and Computer Modelling. 53: 2108–2118.

A. P. Subramanian, M. M. Buddhikot, and S. Miller. 2006. Interference Aware Routing In Multi-Radio Wireless Mesh Networks. In Wireless Mesh Networks, 2006. WiMesh 2006. 2nd IEEE Workshop. 55–63.

Downloads

Published

2013-10-25

Issue

Vol. 65 No. 1: Nov. 2013

Section

Science and Engineering

License

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 (Sciences & Engineering), 65(1). https://doi.org/10.11113/jt.v65.1754