Abstract
Two novel algorithms are presented for subcarrier and power allocation in OFDMA-based cognitive radio (CR) networks. In one algorithm, a transmitted power mask is imposed on different subcarriers in order to limit the interference introduced in the primary network to a specified threshold. Following this step, the subcarrier allocation problem is formulated as a multiple knapsack problem (MKP), and a search algorithm is employed to maximize the sum capacity of the CR network. The second algorithm employs a heuristic approach by assigning different non-overlapping sets of OFDMA subcarriers to different CR users according to their channel conditions. This is followed by a power allocation algorithm that maximizes the sum capacity while maintaining the interference power introduced in the primary network band below a predefined threshold. The proposed algorithms show near-optimal performance while significantly reducing the complexity of the original allocation problem which is known to be NP-hard.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
The Federal Communications Commission (FCC). First report and order and further notice for proposed rulemaking. ET Docket No. 06-156, October 2006.
J. Mitola and G. Maguire. Cognitive radio: Making software radio more personal. IEEE J. Personal Communications, 6(4):13–18, August 1999.
S. Haykin. Cognitive radio: brain-empowered wireless communications. IEEE J. Selec. Areas Commun., 23(2):201–220, February 2005.
T. Weiss and F. K. Jondral. Spectrum pooling: An innovative strategy for the enhancement of spectrum efficiency. IEEE Commun. Mag., 42(3):S8–S14, March 2004.
A. Attar, O. Holland, M. R. Nakhai, and A. H. Aghvami. Interference-limited resource allocation for cognitive radio in orthogonal frequency-division multiplexing networks. IET Communication, 2(6):806–814, July 2008.
P. Cheng, Z. Zhang, H. H. Chen, and P. Qiu. Optimal distributed joint frequency, rate and power allocation in cognitive OFDMA systems. IET Communications, 2(6):815–826, July 2008.
T. Qin and C. Leung. A cost minimization algorithm for a multiuser OFDM cognitive radio system. In IEEE Pacific Rim Conf on Comm, Comp and Signal Proc., pages 518–521, August 2007.
G. Bansal, J. Hossain, and V. K. Bhargava. Optimal and suboptimal power allocation schemes for OFDM-based cognitive radio systems. IEEE Trans on Wireless Commun., 7(11):4710– 4718, November 2008.
T. Weiss, J. Hillenbrand, A. Krohn, and F. K. Jondral. Mutual interference in OFDM-based spectrum pooling systems. In IEEE Veh. Technol Conf., Spring., pages 1873–1877, May 2004.
Dimitri P. Bertsekas. Nonlinear Programming. Athena Scientific, Boston, MA, 1999.
Silvano Martello and Paolo Toth. Knapsack Problems, Algorithms and Computer Implementations. Wiley, 1990.
Gordon L. Stüber. Principles of Mobile Communication. Kluwer, Norwell, MA, 1996.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Almalfouh, S.M., Stüber, G.L. (2009). Interference Aware Subcarrier and Power Allocation in OFDMA-Based Cognitive Radio Networks. In: Plass, S., Dammann, A., Kaiser, S., Fazel, K. (eds) Multi-Carrier Systems & Solutions 2009. Lecture Notes in Electrical Engineering, vol 41. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2530-2_4
Download citation
DOI: https://doi.org/10.1007/978-90-481-2530-2_4
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-2529-6
Online ISBN: 978-90-481-2530-2
eBook Packages: EngineeringEngineering (R0)