Joint Improvement of Spectral and Energy Efficiency in Energy Harvesting Based Cognitive Radio Networks

Sadeghian Kerdabadi, M.; Ghazizadeh, R.; Farrokhi, H.

doi:10.22061/jecei.2021.7501.396

Document Type : Original Research Paper

Authors

Electrical and Computer Engineering Department, University of Birjand, Birjand, Iran.

https://doi.org/10.22061/jecei.2021.7501.396

Abstract

Background and Objectives: In an energy harvesting cognitive radio network, both energy efficiency and spectrum efficiency can be improved, simultaneously. In this paper, we consider an energy harvesting-based multi-antenna cognitive radio network to execute cooperative spectrum sensing, data transmission and RF energy harvesting by secondary transmitter from PU’ signal and the ambient noise, simultaneously.
Methods: In his paper, two novel models called Joint Power allocation and Energy Harvesting by Time switching and Antennas splitting (JPEHTA) and Joint Power allocation and Continuous Energy Harvesting (JPCEH) are proposed. We formulate the joint optimization problems of the sensing time, detection threshold, energy harvesting time, number of cooperative antennas for sensing and energy harvesting as well as power allocation for each antenna in both proposed models. The aim is for enhancing both the spectral and the energy efficiencies under constraints on the probabilities of global detection and false alarm, energy harvesting and transmission power budget. Then, the considered multi-variable problem is solved by using two convex-based iterative proposed algorithms having less computational complexity compared to baseline approaches to achieve the optimal parameters and goals of the problem.
Results: The results present insights about the impact of the sensing time, detection threshold, power allocation and the number of antennas on the energy and spectrum efficiencies of cognitive radio network with an energy harvesting capability.
Conclusion: Simulation results shown that the proposed schemes outperform the structures that have not optimized all the parameters considered in this paper, jointly or schemes in which single-antenna SU are participated in spectrum sensing, energy harvesting and data transmitting.

Keywords

20.1001.1.23223952.2022.10.1.1.4

Main Subjects

Cognitive Radio Networks

Open Access

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Publisher

Shahid Rajaee Teacher Training University

References

[1] F. Salahdine, N. Kaabouch, H.E. Ghazi, "A survey on compressive sensing techniques for cognitive radio networks,” Physical Commun. J., 20: 61-73, 2016.

[2] R. Alhamad, H. Wang, Y.D. Yao, "Cooperative spectrum sensing with random access reporting channels in cognitive radio networks," IEEE Trans. Veh. Technol., 66(8): 7249-7261, 2017.

[3] Y. He, J. Xue, T. Ratnarajah, M. Sellathurai, F. Khan, "On the performance of cooperative spectrum sensing in random cognitive radio networks," IEEE Syst. J., 12(1):881-892, 2018.

[4] S.M. Almalfouh, G.L. Stuber, "Joint spectrum-sensing design and power control in cognitive radio networks: A stochastic approach," IEEE Trans. Wireless Commun., 11(12): 4372-4380, 2012.

[5] W. Yin, P. Ren, Q. Du, Y. Wang, "Delay and throughput oriented continuous spectrum sensing schemes in cognitive radio networks," IEEE Trans. Wireless Commun., 11(6): 2148-2159, 2012.

[6] L. Tang, Y. Chen, E.L. Hines, M.S. Alouini, "Effect of primary user traffic on sensing–throughput tradeoff for cognitive radios," IEEE Trans. Wireless Commun., 10(4): 1063-1068, 2011.

[7] K, Kulkarni, A. Banerjee, "Multi-channel sensing and resource allocation in energy constrained cognitive radio networks," Phys. Commun., 23: 12-9, 2017.

[8] P. Paysarvi-Hoseini, N.C. Beaulieu, "Optimal wideband spectrum sensing framework for cognitive radio systems," IEEE Trans. Signal Process., 59(3): 1170-1182, 2011.

[9] G. Scutari, J.S. Pang, "Joint sensing and power allocation in nonconvex cognitive radio games: Nash equilibria and distributed algorithms," IEEE Trans. Inform. Theory, 59(7): 4626-4661, 2013.

[10] X. Liu, X. Tan, "Optimization algorithm of periodical cooperative spectrum sensing in cognitive radio," Int. J. Commu. Syst., 27(5): 705-720, 2014.

[11] F. Moghimi, R.K. Mallik, R. Schober, "Sensing time and power optimization in MIMO cognitive radio networks," IEEE Trans. Wireless Commun., 11(9): 3398-3408, 2012.

[12] X. Liu, Q. Jing, Y. Jia, W. Zhong, Y.L. Guan, "Sensing-throughput tradeoff for cooperative multiple-input single-output cognitive radio," Int. J. Commun. Syst., 28(5): 848-860, 2015.

[13] A. Singh, M.R. Bhatnagar, R.K. Mallik, "Cooperative spectrum sensing in multiple antenna based cognitive radio network using an improved energy detector," IEEE Commun. Lett., 16(1): 64-67, 2012.

[14] V. D. Nguyen, C.T. Nguyen, H.V. Nguyen, O.S. Shin, "Joint beamforming and antenna selection for sum rate maximization in cognitive radio networks," IEEE Commun. Lett., 21(6): 1369-1372, 2017.

[15] J.H. Noh, S.J. Oh, "Cognitive radio channel with cooperative multi-antenna secondary systems," IEEE J. Sel. Areas Commun., 32(3): 539-549, 2014.

[16] X. Ren, C. Chen, "Spectrum sensing algorithm based on sample variance in multi-antenna cognitive radio systems," AEU Int. J. Electron. Commun., 70(12): 1601-1609, 2016.

[17] M. Pratibha, K.H. Li, K.C. Teh, "Channel selection in multichannel cognitive radio systems employing RF energy harvesting," IEEE Trans. Veh. Technol., 65(1): 457-462, 2016.

[18] X. Liu, K. Chen, J. Yan, Z. Na, "Optimal energy harvesting-based weighed cooperative spectrum sensing in cognitive radio network," Mobile Netw. Appl., 21(6): 908-919, 2016.

[19] S. Chatterjee, S.P. Maity, T. Acharya, "Energy-spectrum efficiency trade-off in energy harvesting cooperative cognitive radio networks," IEEE Trans. Cogn. Commun. Netw., 5(2): 295-303, 2019.

[20] K. Lee, C. Yoon, O. Jo, W. Lee, "Joint optimization of spectrum sensing and transmit power in energy harvesting-based cognitive radio networks," IEEE Access, 6: 30653-30662, 2018.

[21] A. Bhowmick, K. Yadav, S.D. Roy, "Throughput of an energy harvesting cognitive radio network based on prediction of primary User," IEEE Trans. Veh. Technol., 66(9): 8119-8128, 2017.

[22] G. Jianxin, H. Hu, X. Da, J. Liu, W. Li, “Optimization of energy efficiency for cognitive radio with partial RF energy harvesting,"AEU Int. J. Electron. Commun., 85: 74-7, 2018.

[23] Y. Xiao, W. Cheng, “Statistical QoS guarantees for energy harvesting cognitive radio networks,” J. Commun. Inf. Networks, 5(1): 100-110, 2020.

[24] X. Liu, K. Zheng, K. Chi, Z. YH, “Cooperative spectrum sensing optimization in energy-harvesting cognitive radio networks,” IEEE Trans. Wireless Commun., 19(11): 7663-7676, 2020.

[25] S. Biswas, S. Dey, A. Shirazinia,” Sum throughput maximization in a cognitive multiple access channel with cooperative spectrum sensing and energy harvesting,” IEEE Trans. Cognit. Commun. Networking, 5(2): 382-399, 2019.

[26] K. Zheng, XY. Liu, X. Liu, Y. Zhu, “Hybrid overlay-underlay cognitive radio networks with energy harvesting,” IEEE Trans. Commun., 67(7): 4669-4682, 2019.

[27] N.B. Halima, H. Boujemâa, “Energy harvesting for cooperative cognitive radio networks,” Wireless Pers. Commun., 14: 1-8, 2020.

[28] S.W. Kim, “Simultaneous spectrum sensing and energy harvesting,” IEEE Trans. Wireless Commun., 18(2): 769-779, 2018.

[29] K. Zheng, X. Liu, Y. Zhu, K. Chi, K. Liu, “Total throughput maximization of cooperative cognitive radio networks with energy harvesting,” IEEE Trans. Wireless Commun., 19(1): 533-546, 2019.

[30] M.S. Kerdabadi, R. Ghazizadeh, H. Farrokhi, M. Najimi, “Energy consumption minimization and throughput improvement in cognitive radio networks by joint optimization of detection threshold, sensing time and user selection” Wireless Netw., 25(4): 2065-2079, 2019.

[31] H.A. Suraweera, P.J. Smith, M. Shafi, “Capacity limits and performance analysis of cognitive radio with imperfect channel knowledge,” IEEE Trans. Veh. Technol., 59(4): 1811-1822 ,2010.

[32] X. Liu, W. Lu, L. Ye, F. Li, D. Zou, "Joint resource allocation of spectrum sensing and energy harvesting in an energy-harvesting-based cognitive sensor network," Sensors, 17(3): 600, 2017.

[33]S. Zhiqun, Z. Zhang, X. Liu, Y. Liu, L. Fan, "Simultaneous cooperative spectrum sensing and wireless power transfer in multi-antenna cognitive radio," Phys. Commun., 29: 78-85, 2018.

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Journal of Electrical and Computer Engineering Innovations (JECEI)

Joint Improvement of Spectral and Energy Efficiency in Energy Harvesting Based Cognitive Radio Networks

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Volume 10, Issue 1
January 2022
Pages 1-16

Joint Improvement of Spectral and Energy Efficiency in Energy Harvesting Based Cognitive Radio Networks

References

References

Send comment about this article

Volume 10, Issue 1January 2022Pages 1-16

Volume 10, Issue 1
January 2022
Pages 1-16