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Utility Aware Cooperative Spectrum Sharing in Overlay Cognitive Radio Networks

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Abstract

Spectral efficiency in cognitive radio network (CRN) can be achieved by allowing unlicensed users or secondary users (SUs) to coexist with legacy spectrum holders or primary users (PUs) in the same spectrum band, either on an opportunistic or cooperative basis. Relay based cooperative spectrum sharing (CSS) is a promising technique for maximizing spectrum utilization as well as Utility of the users in overlay CRNs. This paper proposes a relay based CSS scheme to increase the cooperative capacity of PU network in a single-PU multi-SU overlay CRN scenario. Based on the characteristics and Quality of Service (QoS) requirements of PU services, the CSS is modelled either as bandwidth sharing or as time sharing problem. Our objective is to assign most profitable SU as a relay to the PU and allocate optimal resource (bandwidth or time) between them, such that PU can maximize its Utility with minimum possible cost incurred and satisfies the compensation constraint of cooperative relay node. Concerning the non-linearity and computationally hard nature of the proposed optimization problem, a quick iterative heuristic solution based on numerical analysis method is proposed and obtain near-optimal solution in polynomial time. Simulation based experimental results show that the proposed approaches succeed in meeting the service requirements of the PU with maximum Utility achievement than the conventional approaches. The proofs of non-linearity and convergence of the proposed algorithm are demonstrated in the paper.

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References

  1. Ahmed, E., A. Gani, S. Abolfazli, L. J. Yao, and S. U. Khan, Channel assignment algorithms in cognitive radio networks: Taxonomy, open issues, and challenges, IEEE Communications Surveys and Tutorials, Vol. 18, No. 1, pp. 795–823, 2016.

    Article  Google Scholar 

  2. Akyildiz, I. F., W. Y. Lee, M. C. Vuran, and S. Mohanty, Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey, Computer Networks Journal, Vol. 50, No. 13, pp. 2127–2159, 2006.

    Article  MATH  Google Scholar 

  3. Asad Ali, E. S., G. Shahzad, and F. Aziz Umrani, End to end latency incurred in cooperative communication system, in 2019 21st International Conference on Advanced Communication Technology (ICACT), pp. 21–25, 2019. https://doi.org/10.23919/ICACT.2019.8701894.

  4. Bai, Z., L. Ma, Y. Dong, P. Ma, and Y. Ma, Energy-efficient resource allocation for secure cognitive radio network with delay QoS guarantee, IEEE Systems Journal, Vol. 13, No. 3, pp. 2795–2805, 2019.

    Article  Google Scholar 

  5. Biglieri, E., R. Calderbank, A. Constantinides, A. Goldsmith, A. Paulraj, and H. V. Poor, MIMO Wireless Communications. Cambridge University Press, Cambridge, 2010.

  6. Doi, H., T. Shioyama, F. Fujikawa, and Y. Serizawa, Study on delay time evaluation for carrier relay system using ip communications technology, Journal of International Council on Electrical Engineering, Vol. 3, No. 3, pp, 234–239, 2013.https://doi.org/10.5370/JICEE.2013.3.3.234.

    Article  Google Scholar 

  7. Dong, Z., X. Wang, S. H. Dau, and C. Yuen, Delay minimization for relay-based cooperative data exchange with network coding, in 2013 IEEE 78th Vehicular Technology Conference (VTC Fall), pp. 1–5, 2013. https://doi.org/10.1109/VTCFall.2013.6692155.

  8. FCC, ET Docket No 03-222 Notice of proposed rule making and order. December, 2003.

  9. Feng, X., G. Sun, X. Gan, F. Yang, X. Tian, X. Wang, and M. Guizani, Cooperative spectrum sharing in cognitive radio networks: A distributed matching approach, IEEE Transactions on Communications, Vol. 62, No. 8, pp. 2651–2664, 2014.

    Article  Google Scholar 

  10. Gao, L., L. Duan, and J. Huang, Two-sided matching based cooperative spectrum sharing, IEEE Transactions on Mobile Computing, Vol. 16, No. 2, pp. 538–551, 2017.

    Article  Google Scholar 

  11. He, J., S. Guo, G. Pan, Y. Yang, and D. Liu, Relay cooperation and outage analysis in cognitive radio networks with energy harvesting, IEEE Systems Journal, Vol. 12, No. 3, pp. 2129–2140, 2018.

    Article  Google Scholar 

  12. Hochbaum, D. S. Complexity and algorithms for nonlinear optimization problems, Annals of Operations Research, Vol. 153, pp. 257–296, 2007.

    Article  MathSciNet  MATH  Google Scholar 

  13. Jiang, F. and B. Wang, A cooperative bandwidth and power allocation strategy based on game theory in multi-relay networks, in 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing, pp. 1–5, Wuhan, China, September 2011.

  14. **, S., X. Wang, Z. Li, and K. K. Wong, Zero-forcing beamforming in massive mimo systems with time-shifted pilots, in 2014 IEEE International Conference on Communications (ICC), pp. 4801–4806, Sydney, NSW, Australia, June 2014.

  15. Kandeepan, S., C. V. Saradhi, M. Filo, and R. Piesiewicz, Delay analysis of cooperative communication with opportunistic relay access, in 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring), pp. 1–5, 2011. https://doi.org/10.1109/VETECS.2011.5956451.

  16. Kumar, B., S. K. Dhurandher, and I. Woungang, A survey of overlay and underlay paradigms in cognitive radio networks, International Journal of Communication Systems, Vol. 31, No. 2, pp. 1–20, 2012.

    Google Scholar 

  17. Laneman, J. N., D. N. C. Tse, and G. W. Wornell, Cooperative diversity in wireless networks: Efficient protocols and outage behavior, IEEE Transaction on Information Theory, Vol. 50, No. 12, pp. 3062–3080, 2004.

    Article  MathSciNet  MATH  Google Scholar 

  18. Li, X., H. **ao, and J. Tian, Energy-efficiency maximization based resource allocation for RF energy harvesting underlay CRN with QoS guarantee, in 2019 IEEE 19th International Conference on Communication Technology (ICCT), pp. 892–896, **’an, China, Octuber 2019.

  19. Li, Y., Z. Wang, L. Luo, Z. Chen, B. **a, and H. Luo, Bandwidth allocation of cognitive relay networks with energy harvesting for smart grid, Journal of Computer Networks and Communications, Vol. 2019, pp. 1–9, 2019.

    Google Scholar 

  20. Liang, W., S. X. Ng, and L. Hanzo, Cooperative overlay spectrum access in cognitive radio networks, IEEE Communications Surveys Tutorials, Vol. 19, No. 3, pp. 1924–1944, 2017.

    Article  Google Scholar 

  21. Liu, H., S. Hua, X. Zhuo, D. Chen, and X. Cheng, Cooperative spectrum sharing of multiple primary users and multiple secondary users, Digital Communications and Networks, Vol. 2, No. 4, pp.: 191–195, 2016.

    Article  Google Scholar 

  22. Liu, X. and M. Jia, Intelligent spectrum resource allocation based on joint optimization in heterogeneous cognitive radio, IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 4, No. 1, pp. 5–12, 2020.

    Article  Google Scholar 

  23. Nosratinia, A., T. Hunter, and A. Hedayat, Cooperative communication in wireless networks, IEEE Communications Magazine, Vol. 42, No. 10, pp. 74–80, 2004. https://doi.org/10.1109/MCOM.2004.1341264.

    Article  Google Scholar 

  24. Paul, A., A. Banerjee, and S. Maity, Throughput maximisation in cognitive radio networks with residual bandwidth, IET Communications, Vol. 13, No. 10, pp. 1327–1335, 2019.

    Article  Google Scholar 

  25. Schultz, D. C., R. Pabst, and B. Walke, Analytical estimation of packet delays in relay-based imt-advanced networks, in VTC Spring 2008—EEE Vehicular Technology Conference, pp. 2411–2415, 2008. https://doi.org/10.1109/VETECS.2008.533.

  26. Sharma, S., Shi, Y., Hou, Y. T., and Kompella, S. An optimal algorithm for relay node assignment in cooperative ad hoc networks, IEEE/ACM Transactions on Networking, Vol. 19, No. 3, pp. 879–892, 2011.

    Article  Google Scholar 

  27. Spencer, Q. H., A. L. Swindlehurst, and M. Haardt, Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels, IEEE Transactions on Signal Processing, Vol. 52, No. 2, pp. 461–471, 2004.

    Article  MathSciNet  MATH  Google Scholar 

  28. Su, W., J. D. Matyjas, and S. Batalama, Active cooperation between primary users and cognitive radio users in cognitive ad-hoc networks, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 3174–3177, Dallas, TX, 2010.

  29. Su, W., J. D. Matyjas, and S. Batalama, Active cooperation between primary users and cognitive radio users in heterogeneous ad-hoc networks, IEEE Transaction on Signal Processing, Vol. 60, No. 4, pp. 1796–1805, 2012.

    Article  MathSciNet  MATH  Google Scholar 

  30. Vassaki, S., M. I. Poulakis, and A. D. Panagopoulos, Spectrum leasing in cognitive radio networks: A matching theory approach, in 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), pp. 1–5, Glasgow, UK, 2015.

  31. Wang, B., Z. Han, and K. J. R. Liu, Distributed relay selection and power control for multiuser cooperative communication networks using stackelberg game, IEEE Transactions on Mobile Computing, Vol. 8, No. 7, pp. 975–990, 2009.

    Article  Google Scholar 

  32. Wang, Z., Z. Chen, B. **a, L. Luo, and J. Zhou, Cognitive relay networks with energy harvesting and information transfer: Design, analysis and optimization, IEEE Transactions on Wireless Communication, Vol. 15, No. 4, pp. 2562–2576, 2016.

    Article  Google Scholar 

  33. Zhengfeng, X., F. **yi, Y. Hong-Chuan, K. **ong, L. Ming, and S. Yi, Optimal beamforming for mimo decode-and-forward relay channels, in 2012 IEEE Global Communications Conference (GLOBECOM), pp. 4548–4553, Anaheim, CA, USA, 2012. https://doi.org/10.1109/GLOCOM.2012.6503835.

  34. Zhou, H., B. Liu, Y. Liu, N. Zhang, L. Gui, Y. Li, X. S. Shen, and Q. Yu, A cooperative matching approach for resource management in dynamic spectrum access networks, IEEE Transactions on Wireless Communications, Vol. 13, No. 2, pp.1047–1057, 2014.

    Article  Google Scholar 

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  1. Department of Computer Science, Tezpur University, Tezpur, Assam, India

    Meenakshi Sharma & Nityananda Sarma

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Sharma, M., Sarma, N. Utility Aware Cooperative Spectrum Sharing in Overlay Cognitive Radio Networks. Int J Wireless Inf Networks 29, 503–520 (2022). https://doi.org/10.1007/s10776-022-00578-3

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