Dynamic resource allocation in OFDM based cognitive radio system considering primary and secondary users QoS

Authors

DOI:

https://doi.org/10.3103/S0735272715100027

Keywords:

OFDM, cognitive radio, dynamic resource allocation

Abstract

In many of the present day wireless systems the total spectrum is not utilized efficiently. This can be overcome by using cognitive radio (CR). Cognitive radio is an artificial intelligent wireless technology, which can allocate the licensed user channels to the unlicensed users without disturbing the licensed users, thereby improving the spectrum efficiency. In this paper we concentrate on multiuser orthogonal frequency division multiplexing (MU-OFDM) CR. In a conventional OFDM system the capacity is maximized using water filling algorithm. In this paper we jointly optimize the power and subcarrier allocation for OFDM based CR system in a multiuser environment. This is performed by modifying the water filling algorithm by using the convex optimization theory. Having implement it, we achieve the maximum error-free capacity under total power constraint and a peak power constraint.

Author Biographies

Kishore V. Krishnan, VIT University, Vellore, Tamilnadu

Assistant professor senior

School of Electronics Engineering

Sibaram Khara, Galgotias University, Noida

Dean

School of Electronics and Communication Engineering

References

Federal Communication Commission Spectrum Policy Task Force. FCC Report of Spectrum Efficiency Working Group. Nov. 2002.

HOSSAIN, E.; BHARGAVA, V. Cognitive Wireless Communication Network. Berlin: Springer Science, 2007, ISBN: 978-0-387-68832-9.

ZHAO, QING; SADLER, B.M. A survey of dynamic spectrum access. IEEE SP Magazine (Signal Processing), May 2007, v.24, n.3, p.79-89, DOI: http://dx.doi.org/10.1109/MSP.2007.361604.

XIAO, YONG; BI, GUOAN; NIYATO, D. A simple distributed power control algorithm for cognitive radio networks. IEEE Trans. Wireless Commun., 2011, v.10, n.11, p.3594-3600, DOI: http://dx.doi.org/10.1109/TWC.2011.090611.102049.

BANSAL, G.; HOSSAIN, M.J.; BHARGAVA, V.K.; Adaptive power loading for OFDM-based cognitive radio systems with statistical interference constraint,” IEEE Trans. Wireless Commun., 2011, v.10, n.9, p.2786-2791, DOI: http://dx.doi.org/10.1109/TWC.2011.072011.100397.

TSE, D.; VISWANATH, P. Fundamentals of Wireless Communication. Cambridge University Press, May 2005.

DIGHAM, F.F. Joint power and channel allocation for cognitive radios. Proc. of IEEE Wireless Communications and Networking Conf., March 31-April 3 2008, Las Vegas, NV. IEEE, 2008, p.882-887, DOI: http://dx.doi.org/10.1109/WCNC.2008.161.

WANG, PENG; ZHAO, MING; XIAO, LIMIN; ZHOU, SHIDONG; WANG, JING. Power allocation in OFDM-based cognitive radio systems. Proc. of IEEE Global Telecommun. Conf., 26-30 Nov. 2007, Washington, DC. IEEE, 2007, p.4061-4065, DOI: http://dx.doi.org/10.1109/GLOCOM.2007.772.

CHEN, CHIUAN-HSU; WANG, CHIN-LIANG; CHEN, CHIH-TSUNG. A resource allocation scheme for cooperative multiuser OFDM-based cognitive radio systems. IEEE Trans. Commun., Nov. 2011, v.59, n.11, p.3204-3215, DOI: http://dx.doi.org/10.1109/TCOMM.2011.092011.100197.

HOSSEINI, ELHAM; FALAHATI, ABOLFAZL. Improving water-filling algorithm to power control cognitive radio system based upon traffic parameters and QoS. Wireless Personal Commun., Jun. 2013, v.70, n.4, p.1747-1759, DOI: http://dx.doi.org/10.1007/s11277-012-0778-0.

HADDAD, M.; HAYAR, A.M.; OIEN, G.E.; KIANI, S.G. Uplink distributed binary power allocation for cognitive radio networks. Proc. of IEEE Conf. on Cognitive Radio Oriented Wireless Networks and Communications, 15-17 May 2008, Singapore. IEEE, 2008, p.1-4, DOI: http://dx.doi.org/10.1109/CROWNCOM.2008.4562474.

Published

2015-10-16

Issue

Section

Research Articles