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Joint Optimization of Sensing and Power Allocation in Energy-Harvesting Cognitive Radio Networks

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Published:20 September 2017Publication History
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Abstract

The energy-harvesting cognitive radio (CR) network is proposed to improve the spectrum efficiency and energy efficiency. We focus on the optimization of sensing time and power allocation to maximize the throughput of the energy-harvesting CR network subject to the energy causality constraint and collision constraint. Based on the classification of operating regions, the optimization problem is divided into two sub-problems. Then, the efficient iterative Algorithm 1 and Algorithm 2 are proposed to solve sub-problem (A) and sub-problem (B), respectively. Numerical results show that a significant improvement in the throughput is achieved via joint optimization of sensing time and power allocation.

References

  1. S. Atapattu, C. Tellambura, and H. Jiang. 2011. Energy detection based cooperative spectrum sensing in cognitive radio networks. IEEE Trans. Wireless Commun. 10, 4 (April 2011), 1232--1241. Google ScholarGoogle ScholarCross RefCross Ref
  2. S. Bi, C. K. Ho, and R. Zhang. 2015. Wireless powered communication: Opportunities and challenges. IEEE Commun. Mag. 53 (April 2015), 117--125. Google ScholarGoogle ScholarCross RefCross Ref
  3. Steven C. Chapra, Raymond P. Canale. 2010. Numerical Methods for Engineers, 6th ed. McGraw-Hill, 2010.Google ScholarGoogle Scholar
  4. S. Chen, J. Zhao. 2014. The requirements, challenges, and technologies for 5G of terrestrial mobile telecommunication. IEEE Commun. Mag. 52, 5 (May 2014), 36--43. Google ScholarGoogle ScholarCross RefCross Ref
  5. W. Chung, S. Park, S. Lim, and D. Hong. 2014. Spectrum sensing optimization for energy-harvesting cognitive radio systems. IEEE Trans. Wireless Commun. 13, 5 (May 2014), 2601--2613. Google ScholarGoogle ScholarCross RefCross Ref
  6. P. Demestichas, A. Georgakopoulos, D. Karvounas, K. Tsagkaris, V. Stavroulaki, J. Lu, and J. Yao. 2013. 5G on the horizon: Key challenges for the radio-access network. IEEE Veh. Technol. Mag. 8, 3, (September 2013), 47--53.Google ScholarGoogle ScholarCross RefCross Ref
  7. R. Deng, J. Chen, C. Yuen, P. Cheng, and Y. Sun. 2012. Energy-efficient cooperative spectrum sensing by optimal scheduling in sensor-aided cognitive radio networks. IEEE Trans. Veh. Technol. 61, 2 (February 2012), 716--725. Google ScholarGoogle ScholarCross RefCross Ref
  8. R. Deng, Y. Zhang, S. He, J. Chen, and X. Shen. 2016. Maximizing network utility of rechargeable sensor networks with spatiotemporally coupled constraints. IEEE J. Sel. Areas Commun. 34, 5 (May 2016), 1307--1319. Google ScholarGoogle ScholarCross RefCross Ref
  9. L. Gavrilovska, D. Denkovski, V. Rakovic, and M. Angjelichinoski. 2014. Medium access control protocols in cognitive radio networks: overview and general classification. IEEE Commun. Surveys Tutor. 16, 4 (Fourth Quarter 2014), 2092--2124.Google ScholarGoogle ScholarCross RefCross Ref
  10. M.-L. Ku, W. Li, Y. Chen, K. J. Ray Liu. 2016. Advances in energy harvesting communications: past, present, and future challenges. IEEE Commun. Surveys Tutor. 18, 2 (Second Quarter 2016), 1384--1412.Google ScholarGoogle ScholarCross RefCross Ref
  11. Y.-C. Liang, K.-C. Chen, G. Y. Li, and P. Mahonen. 2011. Cognitive radio networking and communications: an overview. IEEE Trans. Veh. Technol. 60, 7 (September 2011), 3386--3407. Google ScholarGoogle ScholarCross RefCross Ref
  12. Y.-C. Liang, Y. Zeng, E. Peh, and A. T. Hoang. 2008. Sensing-throughput tradeoff for cognitive radio networks. IEEE Trans. Wireless Commun. 7, 4 (April 2008), 1326--1337. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. X. Lu, P. Wang, D. Niyato, and E. Hossain. 2014. Dynamic spectrum access in cognitive radio networks with RF energy harvesting. IEEE Wireless Commun. 21, 3 (June 2014), 102--110. Google ScholarGoogle ScholarCross RefCross Ref
  14. L. Mohjazi, M. Dianati, G. K. Karagiannidis, S. Muhaidat, and M. Al-Qutayri. 2015. RF-powered cognitive radio networks: technical challenges and limitations. IEEE Commun. Mag. 53, (April 2015), 94--100. Google ScholarGoogle ScholarCross RefCross Ref
  15. S. Park, D. Hong. 2013. Optimal spectrum access for energy harvesting cognitive radio networks. IEEE Trans. Wireless Commun. 12, 12 (Devember 2013), 6166--6179.Google ScholarGoogle Scholar
  16. S. Park, D. Hong. 2014. Achievable throughput of energy harvesting cognitive radio networks. IEEE Trans. Wireless Commun. 13, 2 (February 2014), 1010--1022. Google ScholarGoogle ScholarCross RefCross Ref
  17. S. Park, H. Kim, D. Hong. 2013. Cognitive radio networks with energy harvesting. IEEE Trans. Wireless Commun. 12, 3 (March 2013), 1396--1397. Google ScholarGoogle ScholarCross RefCross Ref
  18. Y. Pei, Y.-C. Liang, K. C. Teh, and K. H. Li. 2011. Energy-efficient design of sequential channel sensing in cognitive radio networks: Optimal sensing strategy, power allocation, and sensing order. IEEE J. Sel. Areas Commun. 29, 8 (September 2011), 1648--1659. Google ScholarGoogle ScholarCross RefCross Ref
  19. S. Stotas, A. Nallanathan. 2011. Optimal sensing time and power allocation in multiband cognitive radio networks. IEEE Trans. Commun. 59, 1 (January 2011), 226--235. Google ScholarGoogle ScholarCross RefCross Ref
  20. C.-X. Wang, F. Haider, X. Gao, X.-H. You, Y. Yang, D. Yuan, H. M. Aggoune, H. Haas, S. Fletcher, and E. Hepsaydir. 2014. Cellular architecture and key technologies for 5G wireless communication networks. IEEE Commun. Mag. 52, (February 2014), 122--130. Google ScholarGoogle ScholarCross RefCross Ref
  21. Y. Wu, and D. H. K. Tsang. 2011. Energy-efficient spectrum sensing and transmission for cognitive radio system. IEEE Commun. Lett. 15, 5 (May 2011), 545--547. Google ScholarGoogle ScholarCross RefCross Ref
  22. S. Yin, E. Zhang, Z. Qu, L. Yin, and S. Li. 2014. Optimal cooperation strategy in cognitive radio systems with energy harvesting. IEEE Trans. Wireless Commun. 13, 9 (September 2014), 4693--4707. Google ScholarGoogle ScholarCross RefCross Ref
  23. Y. Zhang, S. He, J. Chen. 2016. Data gathering optimization by dynamic sensing and routing in rechargeable sensor networks. IEEE/ACM Trans. Netw. 24, 3 (June 2016), 1632--1646. Google ScholarGoogle ScholarDigital LibraryDigital Library

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