Energy Harvesting-Based Transmission Schemes in Cognitive Radio Networks with a Power Beacon
Main Article Content
Abstract
Energy harvesting is emerged as a promising technique to solve the energy constraint problem of wireless communications networks. In this paper, new energy harvesting-based transmission schemes are proposed to improve the outage probability and throughput in underlay cognitive radio networks. In this system, a secondary source can harvest energy from a power beacon (PB) and/or a primary transmitter (PT) to transmit data to a secondary destination in the presence of a primary receiver. Particularly, we propose the BS, TS and SBT schemes to improve system performance. The BS scheme tries to harvest energy from the PB while the TS scheme harvests energy only from the PT. In the SBT scheme, the energy harvested from both PB and PT is used for data transmission. For performance evaluation, we derive the exact closed-form expressions for the outage probability and throughput of the proposed schemes over Rayleigh fading channels, which are later verified by Monte Carlo simulations.
Keywords
Cognitive network, energy harvesting, outage probability, power beacon
Article Details
References
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[4] H. V. Hoa, N. X. Quynh, and V. N. Q. Bao, On the Performance of Non-Orthogonal Multiple Access schemes in Coordinated Direct with Partial Relay Selection, in 2018 International Conference on Advanced Technologies for Communications (ATC), 2018, pp. 337-343.
[5] E. Björnson, E. G. Larsson, and T. L. Marzetta, Massive MIMO: ten myths and one critical question, IEEE Commun. Maga., vol. 54, no. 2, pp. 114-123, 2016.
[6] Chen, Dong-Hua, and Yu-Cheng He, Full-duplex secure communications in cellular networks with downlink wireless power transfer. IEEE Transactions on Commun. 66.1 (2017): 265-277.
[7] D. K. Nguyen, M. Matthaiou, T. Q. Duong, and H. Ochiai, RF energy harvesting two-way cognitive DF relaying with transceiver impairments, in IEEE International Conference on Communication Workshop (ICCW), 2015, pp. 1970-1975.
[8] G. Zheng, Z. K. M. Ho, E. A. Jorswieck, and B. E. Ottersten, Information and Energy Cooperation in Cognitive Radio Networks, IEEE Trans. Signal Processing, vol. 62, pp. 2290-2303, 2014.
[9] T. N. Nguyen, T. T. Duy, L. Gia-Thien, P. T. Tran, and M. VoZNak, Energy Harvesting-based Spectrum Access With Incremental Cooperation, Relay Selection and Hardware Noises, RADIOENGINEERING, vol. 25, p. 11, 2016.
[10] Z. Wang, Z. Chen, B. Xia, L. Luo, and J. Zhou, Cognitive relay networks with energy harvesting and information transfer: Design, analysis, and optimization, IEEE Transactions on Wireless Commun., vol. 15, pp. 2562-2576, 2016.
[11] S. A. Mousavifar, Y. Liu, C. Leung, M. Elkashlan, and T. Q. Duong, Wireless Energy Harvesting and Spectrum Sharing in Cognitive Radio, in Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th, 2014, pp. 1-5.
[12] Liu, Yuanwei, et al., Wireless Energy Harvesting in a Cognitive Relay Network. IEEE Trans. Wireless Communications 15.4 (2016): pp. 2498-250.
[13] Nguyen Toan Van, Nhu Tri Do, Vo Nguyen Quoc Bao, Beongku An, Performance Analysis of Wireless Energy Harvesting Multihop Cluster-Based Networks over Nakagami-m Fading Channels, IEEE Access, vol. 6, pp. 3068-3084, Dec. 2017.
[14] J. Guo, S. Durrani, X. Zhou, and H. Yanikomeroglu, Outage probability of ad hoc networks with wireless information and power transfer, IEEE Wireless Communications Letters, vol. 4, pp. 409-412, 2015.
[15] Zhang, Keyi, et al., AP scheduling protocol for power beacon with directional antenna in Energy Harvesting Networks. In: Applied System Innovation (ICASI), 2017 International Conference on. IEEE, 2017, pp. 906-909.
[16] I. S. Gradshteyn, I. M. Ryzhik, A. Jeffrey, and D. Zwillinger, Table of integrals, series and products, 7th ed. Amsterdam; Boston: Elsevier, 2007, pp. xlv, 1171p.
[17] Van Nguyen, T., Do, T. N., Bao, V. N. Q., da Costa, D. B., & An, B., On the Performance of Multihop Cognitive Wireless Powered D2D Communications in WSNs. IEEE Transactions on Vehicular Technology, 69(3), 2684-2699, 2020.
[18] Nguyen, Toan-Van, and Beongku An, Cognitive Multihop Wireless Powered Relaying Networks Over Nakagami-m Fading Channels. IEEE Access, vol. 7, pp. 154600-154616, 2019.
[19] Nguyen Anh Tuan, Vo Nguyen Quoc Bao, Outage Probability of Cognitive Radio Networks with Energy harvesting and Power Beacon, Journal of Science and Technology on Information and Communications, vol. 1, no. 3-4, 2019.