The week's pick
Reseach Article
Spectrum Sharing Technique for Cooperative Cognitive Radio Networks using Bipartite Graph
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 157 - Number 9 |
| Year of Publication: 2017 |
| Authors: Ashish Kumar Sinha, Rajeev Thakur |
10.5120/ijca2017912750
|
Ashish Kumar Sinha, Rajeev Thakur . Spectrum Sharing Technique for Cooperative Cognitive Radio Networks using Bipartite Graph. International Journal of Computer Applications. 157, 9 ( Jan 2017), 4-7. DOI=10.5120/ijca2017912750
Abstract
This paper presents, a spectrum sharing strategy in cooperative cognitive radio network (CCRN). A multi-phase cooperation architecture is explained and studied with cooperation partner selection and spectrum sharing among secondary users (SUs).The data of primary users (PUs) forwarded to the cooperation partners who are selected from SUs, and then acquire the spectrum access opportunities for their own transmissions as a reward. The partner selection is modeled as an optimally weighted bipartite matching problem to maximize the total utility where energy efficiency is also considered just to increase the utility for the PU-SU cooperation pairs. By the partner SU further improvisation in the spectrum utilization is done by sharing the acquired spectrum with the surrounding SUs via cooperative network coding. At the end the simulation results provided, which shows that to the dynamic traffic loads in CCRN, the proposed partner selection and spectrum sharing approach adapts well.
References
- Akyildiz, W. Y. Lee, M. Vuran, and S. Mohanty, “Next Generation/ Dynamic Spectrum Access/Cognitive Radio Wireless Networks: A survey,” ACM Journal on Computer Networks, vol. 50, no. 13, pp. 2127- 2159, Sep. 2006.
- A. Goldsmith, S. Jafer, I. Maric, and S. Srinivasa, “Breaking spectrum gridlock with cognitive radios: An information theoretic perspective,” in Proceedings of IEEE, vol. 97, no. 5, pp. 894-914, May 2009.
- O. Simeone, I. Stanojev, S. Savazzi, Y. Bar-Ness, U. Spagnolini, and R. Pickholtz, “Spectrum leasing to cooperating secondary ad hoc networks,” IEEE Journal on Selected Areas in Communications, vol. 26, no. 1, pp. 203-213, Jan. 2008.
- Y. Han, A. Pandharipande, and S. Ting, “Cooperative decode-and-forward relaying for secondary spectrum access,” IEEE Transactions on Wireless Communications, vol. 8, no. 10, pp. 4945-4950, Oct. 2009.
- N. Zhang, N. Lu, R. Lu, J. W. Mark, and X. Shen, “Energy-efficient and trust-aware cooperation in cognitive radio networks,” in Proceedings of IEEE International Conference on Communications, pp. 1763-1767, Jun. 2012.
- T. Elkourdi and O. Simeone, “Spectrum Leasing via Cooperation with Multilpe Primary Users,” IEEE Transactions on Vehicular Technology, vol. 61, no. 2, pp. 820-825, Feb. 2012.
- V. Mahinthan, L. Cai, J. W. Mark and, X. Shen, “Partner Selection Based on Optimal Power Allocation in Cooperative-Diversity Systems,” IEEE Transactions on Vehicular Technology, vol. 57, no. 1, pp. 511-520, Jan. 2008.
- M. Seyfi, S. Muhaidat, and J. Liang, “Relay Selection in Underlay Cognitive Radio Networks,” in Proceedings of IEEE Wireless Communications and Networking Conference, pp. 283-288, Apr. 2012.]
- M. Biguesh and A. B. Gershman, “Training-Based MIMO Channel Estimation: A Study of Estimator Tradeoffs and Optimal Training Signals,” IEEE Transactions on Signal Processing, vol. 54, no. 3, pp. 328-339,Mar. 2006.
- “Spectrum Sharing Strategy using Bipartite Matching for Cooperative Cognitive Radio Networks”Yujie Tang, Yongkang Liu, Jon W. Mark and Xuemin (Sherman) Shen Centre for Wireless Communications, University of Waterloo, ON, Canada, N2L 3G1 Globecom 2013 - Cognitive Radio and Networks Symposium
Index Terms
Keywords