Open Access Open Access  Restricted Access Subscription or Fee Access

Multi Objective Coordination Approach for Resource Utilization in Heterogeneous Cognitive Radio Network

(*) Corresponding author

Authors' affiliations



The Heterogeneous network has the advantage of utilizing multiple wireless architectures to exchange information over a wireless medium. In coordination with multiple devices, long range data transmission is achieved. The advantage of multiple network utilization has brought out the significance of higher service applications for any network device with the advantage of using multiple networks for communication. In this network, the demand for proper resource utilization arises due to a shift to multiple networks. As the network switches from one network to another, and observed issues like fairness, power, spectrum utilization in the resources are varied, which impacts the flow of data. Hence it is required to optimize the resource utilization to achieve a fair and efficient communication. Towards achieving the objective of fairness in an heterogeneous network with cognitive devices, a multi objective coordination approach for optimal resource utilization is proposed. The resource utilization problem is defined by an effective spectrum utilization among the network users. The simulation results show a significant improvement in resource utilization compared to conventional approaches.
Copyright © 2017 Praise Worthy Prize - All rights reserved.


Multi Objective Coordination; Heterogeneous Network; CRN Devices; Distortion Monitoring; Quality Governance

Full Text:



Khan, Muhammad Asad, Supeng Leng, Wang Xiang, and Kun Yang. "Architecture of heterogeneous wireless access networks: A short survey." In TENCON 2015-2015 IEEE Region 10 Conference, IEEE, 2015 Pages 1-6.

Yahia Tachwali, Fadi Basma, and Hazem H. Refai, “Cognitive Radio Architecture for Rapidly Deployable Heterogeneous Wireless Networks” IEEE Transactions on Consumer Electronics, Vol. 56, (Issue 3), August 2010.

Shao-Yu Lien, Kwang-Cheng Chen, Yonghua Lin,” Cognitive Radio Resource Management For Future Cellular Networks”. IEEE Wireless Communication. February 2014. Pages 70-79.

Anusha, M., Srikanth, V., An Efficient Mac Protocol for Reducing Channel Interference and Access Delay in Cognitive Radio Wireless Mesh Networks, (2016) International Journal on Communications Antenna and Propagation (IRECAP), 6 (1), pp. 14-18.

Force, FCC Spectrum Policy Task. "Report of the spectrum efficiency working group." 2002.

“Cognitive radio technologies proceedings” Washington, DC, USA. No. 03-108.

Yi Qin Ying Zhe et al. “ Near optimal scheme for cognitive radio networks with heterogeneous mobile secondary users”. IEEE Transactions on Communications, vol 63, (Issue 4), April 2015. Pages 1106-1120.

Shaowei Wang, Chonggang Wang., “Joint optimization of spectrum and energy efficiency in cognitive radio networks”, Digital Communications and Networks, vol 1,(issue3) August 2015, Pages 161–170.

Fourat Haider, Cheng-Xiang Wang, Harald Haas, ErolHepsaydir, XiaohuGe, and Dongfeng Yuan, “Spectral and Energy Efficiency Analysis for Cognitive Radio Networks”, IEEE Transactions on Wireless Communications, Vol. 14, (Issue 6), February 2015, pages-2969-2980.

Jian Yang, and Hangsheng Zhao, “Enhanced Throughput of Cognitive Radio Networks by Imperfect Spectrum Prediction”, IEEE Communications Letters, Vol. 19,( Issue 10), October 2015 Pages 1738-1741.

Yu-Chun Cheng, Eric HsiaokuangWu, and Gen-Huey Chen, “A Decentralized MAC Protocol for Unfairness Problems in Coexistent Heterogeneous Cognitive Radio Networks ScenariosWith Collision-Based Primary Users”, IEEE Systems Journal, VOL. 10,(Issue 1), March 2016. Pages 346-357

S. Hu, Y.-D. Yao, and Z. Yang, “MAC protocol identification using support vector machines for cognitive radio networks,” IEEE Wireless Commun.,vol. 21, (Issue. 1), Feb. 2014 Pages 52–60.

M. Timmers, S. Pollin, A. Dejonghe, L. Van der Perre, and F. Catthoor, “A distributed multichannel MAC protocol for multihop cognitive radio networks,”IEEE Trans. Veh. Technol., vol. 59,(Issue 1), Jan. 2010, Pages 446–459.

C. Luo, F. R. Yu, H. Ji, and V. C. M. Leung, “Cross-layer design for TCPperformance improvement in cognitive radio networks,” IEEE Trans. Veh.Technol., vol. 59, (Issue 5), June 2010, Pages 2485–2495.

X. Yiping, R. Chandramouli, S. Mangold, and N. Sai Shankar, “Dynamic spectrum access in open spectrum wireless networks,” IEEE J. Sel. AreasCommun., vol. 24,(Issue 3), Mar 2006 Pages 626–637.

Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specification, IEEE 802.11, 1999.


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2024 Praise Worthy Prize