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Improvement of the Sum Rate and Energy Efficiency of IA-based Cognitive Radio Network by Successive Relaying and Power Allocation | ||
Modeling and Simulation in Electrical and Electronics Engineering | ||
دوره 1، شماره 4 - شماره پیاپی 6، اردیبهشت 2022، صفحه 15-25 اصل مقاله (1.42 M) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22075/mseee.2022.24266.1068 | ||
نویسندگان | ||
Elahe Maddah؛ Mohammad Lari* | ||
Faculty of Electrical, and Computer Engineering Semnan University, Semnan, Iran | ||
تاریخ دریافت: 03 شهریور 1400، تاریخ بازنگری: 30 دی 1400، تاریخ پذیرش: 18 تیر 1401 | ||
چکیده | ||
In this paper, we propose an underlay cognitive radio network that consists of several secondary users and one successive relaying-aided primary user. Two half-duplex relays operate as full-duplex relays in the successive relaying technique. To improve spectral efficiency, the primary user utilizes the successive relaying technique. Inter relay interference and inter-user interference are challenges of the proposed network. For eliminating these interferences, the interference alignment method is utilized. Also, two power allocation algorithms are proposed to maximize the sum rate of secondary users and the energy efficiency of the network. In both power allocation algorithms, satisfying the quality of service of the primary user is considered. The closed-form solutions of these algorithms are obtained. We use the fractional programming approach to solve energy efficiency optimization in two steps. | ||
کلیدواژهها | ||
Cognitive radio network؛ Interference suppression؛ Interference alignment؛ Power allocation؛ Successive relay؛ Inter relay interference | ||
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مراجع | ||
[1] X. Hong, J. Wang, C.-X. Wang, and J. Shi, “Cognitive radio in 5G: a perspective on energy-spectral efficiency trade-off,” IEEE Communications Magazine, vol. 52, pp. 46-53, 2014. [2] Z. Zhang, X. Chai, K. Long, A. V. Vasilakos, and L. Hanzo, “Fullduplex techniques for 5G networks: self-interference cancellation, protocol design, and relay selection,” IEEE Communications Magazine, vol. 53, pp. 128-137, 2015. [3] S. Haykin, “Cognitive radio: brain-empowered wireless communications,” IEEE Journal on selected areas in communications, vol. 23, pp. 201-220, 2005. [4] T. Luan, F. Gao, and X.-D. Zhang, “Joint resource scheduling for relay-assisted broadband cognitive radio networks,” IEEE Transactions on Wireless Communications, vol. 11, pp. 3090-3100, 2012. [5] A. Goldsmith, S. A. Jafar, I. Maric, and S. Srinivasa, “Breaking spectrum gridlock with cognitive radios: An information-theoretic perspective,” proc. IEEE, vol. 97, pp. 894-914, 2009. [6] J. T. MacDonald and D. R. Ucci, “Interference temperature limits of IEEE 802.11 protocol radio channels,” in Electro/Information Technology, 2007 IEEE International Conference on, pp. 64-69, 2007. [7] B. Wang and K. R. Liu, “Advances in cognitive radio networks: A survey,” IEEE Journal of selected topics in signal processing, vol. 5, pp. 5-23, 2011. [8] SJ. Kim, GB. Giannakis. “Optimal resource allocation for MIMO ad hoc cognitive radio networks.” IEEE Transactions on Information Theory, vol. 57, no. 5, pp. 3117-3131, 2011. [9] M. A. Maddah-Ali, A. S. Motahari, and A. K. Khandani, “Communication over MIMO X channels: Interference alignment, decomposition, and performance analysis,” IEEE Transactions on Information Theory, vol. 54, pp. 3457-3470, 2008. [10] N. Zhao, F. R. Yu, M. Jin, Q. Yan, and V. C. Leung, “Interference alignment and its applications: A survey, research issues, and challenges,” IEEE Communications Surveys & Tutorials, vol. 18, no. 3, pp. 1779-1803, 2016. [11] N. Zhao, F. R. Yu, and H. Sun, “Interference alignment with delayed channel state information and dynamic AR-model channel prediction in wireless networks” in Wireless Networks, vol. 21, no. 4, pp. 1779- -1803, 2015. [12] J. Tang, S. Lambotharan, and S. Pomeroy, “Interference cancellation and alignment techniques for multiple-input and multiple-output cognitive relay networks,” IET Signal Process, vol. 7, no. 3, pp. 188– 200, May 2013. [13] S. Arzykulov, G. Nauryzbayev, T. A. Tsiftsis, and M. Abdallah, “On the Performance of Wireless Powered Cognitive Relay Network with Interference Alignment,” IEEE Transactions on Communications, vol. 66, no. 9, pp. 3825--3836, 2018. [14] Z. Sheng, J. Fan, C. H. Liu, V. C. Leung, X. Liu, and K. K. Leung, “Energy-efficient relay selection for cooperative relaying in wireless multimedia networks,” IEEE Transactions on Vehicular Technology, vol. 64, pp. 1156-1170, 2015. [15] M. Hajiaghayi, M. Dong, and B. Liang, “Jointly optimal channel and power assignment for dual-hop multi-channel multi-user relaying,” IEEE Journal on Selected Areas in Communications, vol. 30, no.9, pp. 1806-1814, 2012. [16] F. Li, X. Tan, and L. Wang, “Power scheme and time‐division bargaining for cooperative transmission in cognitive radio,” Wireless Communications and Mobile Computing, vol. 15, no. 2, pp. 379-388, 2015. [17] L. Lv, J. Chen, Q. Ni, Z. Ding, and H. Jiang, “Cognitive Non- Orthogonal Multiple Access with Cooperative Relaying: A New Wireless Frontier for 5G Spectrum Sharing,” IEEE Communications Magazine, vol. 56, no. 9, pp. 188-195, 2018. [18] F. Li, X. Tan, and L. Wang, “Power scheme and time‐division bargaining for cooperative transmission in cognitive radio,” Wireless Communications and Mobile Computing, vol. 15, pp. 379- 388, 2015. [19] N. Zhang, N. Cheng, N. Lu, H. Zhou, J. W. Mark, & X. Shen, “Riskaware cooperative spectrum access for multi-channel cognitive radio networks.” IEEE Journal on Selected Areas in Communications, vol. 32, no. 3, pp. 516-527, 2014. [20] F. Gomez-Cuba, R. Asorey-Cacheda, and F. J. Gonzalez-Castano, “A survey on cooperative diversity for wireless networks,” IEEE Communications Surveys & Tutorials, vol. 14, no.3, pp. 822-835, 2012. [21] H. A. Suraweera, I. Krikidis, G. Zheng, C. Yuen, and P. J. Smith, “Low-complexity end-to-end performance optimization in MIMO full-duplex relay systems,” IEEE Trans. Wireless Communications, vol. 13, no. 2, pp. 913-927, 2014. [22] G. Liu, F. R. Yu, H. Ji, V. C. Leung, and X. Li, “In-band full-duplex relaying: A survey, research issues, and challenges,” Resource, vol. 147, no.2, pp. 172, 2015. [23] Y. Fan, C. Wang, J. Thompson, and H. Poor, “Recovering Multiplexing Loss through Successive Relaying Using Repetition Coding,” IEEE Transactions on Wireless Communications, vol. 6, no.2, pp. 4484-4493, 2007. [24] M. Lari, “Power allocation and effective capacity of AF successive relays,” Wireless Networks, vol. 24, no.3, pp. 885-895, 2018. [25] C. Wang, Y. Fan, I. Krikidis, J. S. Thompson, and H. V. Poor, “Superposition-coded concurrent decode-and-forward relaying,” in Information Theory, 2008. ISIT 2008. IEEE International Symposium on, 2008, pp. 2390-2394. [26] I. Orikumhi, C. Y. Leow, and Y. Li, “Reliable Virtual Full-Duplex Relaying in the Presence of Interrelay Interference,” IEEE Transactions on Vehicular Technology, vol. 66, no.10, pp. 9098- 9109, 2017. [27] M. S. Gilan and A. Olfat, “New beamforming and space-time coding for two-path successive decode and forward relaying,” IET Communications, vol. 12, pp. 1573-1588, 2018. [28] Q. Y. Liau, C. Y. Leow, and Z. Ding, “Amplify-and-Forward Virtual Full-Duplex Relaying-Based Cooperative NOMA,” IEEE Wireless Communications Letters, vol. 7, pp. 464-467, 2018. [29] T. Charalambous, S. M. Kim, N. Nomikos, M. Bengtsson, and M. Johansson, “Relay-pair selection in buffer-aided successive opportunistic relaying using a multi-antenna source,” Ad Hoc Networks, vol. 84, pp. 29-41, 2019. [30] C. Zhai, W. Zhang, and P. Ching, “Cooperative spectrum sharing based on two-path successive relaying,” IEEE Transactions on Communications, vol. 61, pp. 2260-2270, 2013. [31] A. H. A. El-Malek and S. A. Zummo, “A bandwidth-efficient cognitive radio with two-path amplify-and-forward relaying,” IEEE Wireless Communications Letters, vol. 4, pp. 66-69, 2015. [32] Z. Li, F. Xiao, S. Wang, T. Pei, and J. Li, “Achievable rate maximization for cognitive hybrid satellite-terrestrial networks with af-relays,” IEEE Journal on Selected Areas in Communications, vol. 36, pp. 304-313, 2018. [33] S. Masrour, A. H. Bastami, and P. Halimi, “Spectrum sharing in cognitive radio networks using beamforming and two-path successive relaying,” in Electrical Engineering (ICEE), 2017 Iranian Conference on, 2017, pp. 1810-1814. [34] C. Luo, Y. Gong, and F. Zheng, “Full interference cancellation for two-path relay cooperative networks,” IEEE Transactions on Vehicular Technology, vol. 60, pp. 343-347, 2011. [35] Y. Ji, C. Han, A. Wang, and H. Shi, “Partial inter-relay interference cancellation in two-path successive relay network,” IEEE Communications Letters, vol. 18, pp. 451-454, 2014. [36] Chih-Lin, I., Rowell, C., Han, S., Xu, Z., Li, G., & Pan, Z. “Toward green and soft: a 5G perspective.” IEEE Communications Magazine, vol. 52, no. 2, pp. 66–73, Feb. 2014. [37] E. Biglieri, J. Proakis, and S. Shamai, “Fading channels: Information-theoretic and communications aspects,” IEEE Transactions on Information Theory, vol. 44, pp. 2619-2692, 1998. [38] N. Zhao, F. R. Yu, H. Sun, and M. Li, “Adaptive power allocation schemes for spectrum sharing in interference-alignment-based cognitive radio networks,” IEEE transactions on vehicular technology, vol. 65, pp. 3700-3714, 2016. [39] K. Gomadam, V. R. Cadambe, and S. A. Jafar, “A distributed numerical approach to interference alignment and applications to wireless interference networks,” IEEE Transactions on Information Theory, vol. 57, p. 3309, 2011. [40] A. Zappone and E. Jorswieck, “Energy efficiency in wireless networks via fractional programming theory,” Foundations and Trends in Communications and Information Theory, vol. 11, pp. 185-396, 2015. | ||
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