Outage and Throughput Analysis of Bidirectional Cognitive Amplify-and-Forward Relaying Networks with Wireless Power Transfer
Subject Areas :
Ehsan Soleimani Nasab
1
(Graduate University of Advanced Technology)
Keywords: Amplify-and-forward relay, cognitive radio network, energy harvesting, wireless power transfer, bidirectional relaying,
Abstract :
Cognitive radio is a promising technology which aims to achieve better frequency spectrum utilization. On the other hand, wireless energy harvesting can provide extra energy requirement at the nodes. Two scenarios in a two-way network are assumed where in the first scenario, relay harvests its required energy from end-sources of secondary network in presence of cognitive radio network and in the second scenario, both end-sources harvest energy from relay in secondary network. Both the Nakagami-m fading caused by signal propagation and the interference at relay caused by primary users in a cognitive radio network are considered. Closed-form expressions for outage probability and throughput of bidirectional cognitive radio amplify-and-forward relaying network using energy harvesting and wireless power transfer techniques over independent and non-identically distributed (i.n.i.d.) Nakagami-m fading channels are proposed. The analytical derivations are validated employing Monte Carlo simulations, where it is demonstrated that the first scenario always outperforms the second one, while both scenarios perform better than no energy harvesting case.
[1] A. Ivanov, K. Tonchev, V. Poulkov and A. Manolova, "Probabilistic Spectrum Sensing Based on Feature Detection for 6G Cognitive Radio: A Survey," IEEE Access, vol. 9, pp. 116994-117026, Aug.2021.
[2] X. Liu, K. -Y. Lam, F. Li, J. Zhao, L. Wang and T. S. Durrani, "Spectrum Sharing for 6G Integrated Satellite-Terrestrial Communication Networks Based on NOMA and CR," IEEE Network, vol. 35, no. 4, pp. 28-34, Aug. 2021.
[3] D. Wang, B. Song, D. Chen and X. Du, "Intelligent Cognitive Radio in 5G: AI-Based Hierarchical Cognitive Cellular Networks," IEEE Wireless Communications, vol. 26, no. 3, pp. 54-61, June 2019.
[4] T. Xu, H. Hu and M. Zhang, "Sliced Sensing System: Toward 5G Cognitive Radio Applications Under Fast Time-Varying Channels," IEEE Systems Journal, vol. 13, no. 2, pp. 1297-1307, June 2019.
[5] W. Zhang, C. Wang, X. Ge and Y. Chen, "Enhanced 5G Cognitive Radio Networks Based on Spectrum Sharing and Spectrum Aggregation," IEEE Transactions on Communications, vol. 66, no. 12, pp. 6304-6316, Dec. 2018.
[6] W. S. H. M. W. Ahmad et al., "5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks," IEEE Access, vol. 8, pp. 14460-14488, Jan. 2020.
[7] X. Huang, T. Han, and N. Ansari, “On green-energy-powered cognitive radio networks,” IEEE Communications Surveys and Tutorials, vol. 17, no. 2, pp. 827–842, Secondquarter 2015.
[8] M. Dohler and Y. Li, Cooperative Communication: Hardware, Channel and PHY. John Wiley and Sons, 2010.
[9] B. Wang and K. J. R. Liu, “Advances in cognitive radio networks: A survey,” IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 1, pp. 5–23, Feb. 2011.
[10] Q. Zhang, B. Cao, Y. Wang, N. Zhang, X. Lin, and L. Sun, “On exploiting polarization for energy-harvesting enabled cooperative cognitive radio networking,” IEEE Wireless Communications, vol. 20, no. 4, pp. 116–124, Aug. 2013.
[11] S. S. Kalamkar, S. Majhi, and A. Banerjee, “Outage analysis of spectrum sharing energy harvesting cognitive relays in Nakagami-m channels,” IEEE Global Communications Conference (GLOBECOM), San Diego, Dec. 2015.
[12] H. . Chen, Y. Li, Y. Jiang, Y. Ma, and B. Vucetic, “Distributed power splitting for SWIPT in relay interference channels using game theory,” IEEE Transactions on Wireless Communications, vol. 14, no. 1, pp. 410–420, Jan 2015.
[13] Y. Liu, S. A. Mousavifar, Y. Deng, C. Leung, and M. Elkashlan, “Wireless energy harvesting in a cognitive relay network,” IEEE Transactions on Wireless Communications, vol. 15, no. 4, pp. 2498–2508, Apr. 2016.
[14] Z. Wang, Z. Chen, L. Luo, Z. Hu, B. Xia, and H. Liu, “Outage analysis of cognitive relay networks with energy harvesting and information transfer,” IEEE International Conference on Communications (ICC), Sydney, June 2014, pp. 4348–4353.
[15] Q. Li, Q. Zhang and J. Qin, "Beamforming for Information and Energy Cooperation in Cognitive Non-Regenerative Two-Way Relay Networks," IEEE Transactions on Wireless Communications, vol. 15, no. 8, pp. 5302-5313, Aug. 2016.
[16] S. Javadi and E. Soleimani-Nasab, "Outage analysis of cognitive two-way AF relaying systems with wireless power transfer," Iranian Conference on Electrical Engineering (ICEE), May 2017, pp. 2066-2071.
[17] S. Javadi and E. Soleimani-Nasab, "Performance analysis of cognitive two-way AF relaying systems with wireless energy harvesting over Nakagami-m fading channels," Iran Workshop on Communication and Information Theory (IWCIT), May 2017.
[18] E. Soleimani-Nasab and S. Javadi, "Performance analysis of two‐way wireless‐powered Amplify‐and‐Forward relaying in the presence of co‐channel interference," International Journal of Communication Systems, vol. 34, no. 1, January 2021.
[19] D. K. Nguyen, D. N. K. Jayakody, S. Chatzinotas, J. S. Thompson and J. Li, "Wireless Energy Harvesting Assisted Two-Way Cognitive Relay Networks: Protocol Design and Performance Analysis," IEEE Access, vol. 5, pp. 21447-21460, Jan. 2017.
[20] F. Benkhelifa and M. Alouini, "Prioritizing Data/Energy Thresholding-Based Antenna Switching for SWIPT-Enabled Secondary Receiver in Cognitive Radio Networks," IEEE Transactions on Cognitive Communications and Networking, vol. 3, no. 4, pp. 782-800, Dec. 2017.
[21] S. Singh, S. Modem and S. Prakriya, "Optimization of Cognitive Two-Way Networks With Energy Harvesting Relays," IEEE Communications Letters, vol. 21, no. 6, pp. 1381-1384, June 2017.
[22] S. Wang, W. Chung and T. Wu, "Adaptive power and time usage energy harvesting in cognitive two-way relay networks," IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Apr. 2018.
[23] A. Mukherjee, T. Acharya and M. R. A. Khandaker, "Outage Analysis for SWIPT-Enabled Two-Way Cognitive Cooperative Communications," IEEE Transactions on Vehicular Technology, vol. 67, no. 9, pp. 9032-9036, Sept. 2018.
[24] W. Zhao, R. She and H. Bao, "Security Energy Efficiency Maximization for Two-Way Relay Assisted Cognitive Radio NOMA Network With Self-Interference Harvesting," IEEE Access, vol. 7, pp. 74401-74411, June 2019.
[25] A. Prathima, D. S. Gurjar, H. H. Nguyen and A. Bhardwaj, "Performance Analysis and Optimization of Bidirectional Overlay Cognitive Radio Networks With Hybrid-SWIPT," IEEE Transactions on Vehicular Technology, vol. 69, no. 11, pp. 13467-13481, Nov. 2020.
[26] M. Zhang, S. Zhang, Z. Bao, W. Wang, X. Zhang and Y. Chen, "Joint beamforming and time switching designs for energy-constrained cognitive two-way relay networks," China Communications, vol. 17, no. 5, pp. 110-118, May 2020.
[27] M. M. Feghhi, A. Abbasfar, M. Mirmohseni, Low complexity resource allocation in the relay channels with energy harvesting transmitters, Ad Hoc Networks, vol. 77, pp. 108-118, Aug .2020.
[28] M. M. Feghhi, A. Abbasfar and M. Mirmohseni, “Performance analysis for energy harvesting communication protocols with fixed rate transmission”, IET Communications, vol. 8, no.18 , pp. 3259-3270, Dec. 2014.
[29] M. M. Feghhi, M. Mirmohseni and A. Abbasfar, “Power Allocation in the Energy Harvesting Full-Duplex Gaussian Relay Channels”, International Journal of Communication Systems, Special Issue on Energy Efficient Wireless Communication Networks with QoS, vol. 30, no. 2, pp. 1-29, Jan.2017.
[30] I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series and Products, 7th ed., A. Jeffrey, Ed. Elsevier Inc., 2007.
[31] Wolfram, “The Wolfram functions site,” Available: http://functions.wolfram.com, 2020.