Feasibility Analysis of Distributed Power Control System for Cognitive Radio Networks
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Keywords
Abstract
The need for an efficient transmit power is affected by the condition of user and power control methods used. User conditions that categorized in cognitive femtocell networks included in the category as distributed user, so it required a distributed power control (DPC). To be implemented in cognitive radio network (CRN) communication, the system must be feasible. The problem raised in this research regarding the feasibility of implementing the DPC system on the CR network To meet the feasible requirements, it is necessary to test the system's feasibility through testing the eigenvalues of the link gain matrix obtained and testing the non-negative power vector conditions. In this study, experiments were carried out on 2 schemes of the number of users, namely the scheme of 5 users and 10 users, to determine the power requirements of each user according to the channel distribution. The results obtained for both schemes show that the total eigenvalue of the link gain matrix for all channels is less than 1 and all users meet the non-negative power vector requirements. So it can be concluded that those two schemes are feasible to implement a distributed power control system. Furthermore, as more users use the channel and the closer the distance between users, the more power is consumed due to high interference, necessitating high power compensation in order to maintain the target of signal to interference and noise ratio (SINR).
References
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Z. Li, Z. Jiang, Y. Wang, and D. Yang, “A Modified Power Control Scheme in OFDMA Uplink,” p. 5, 2008.
J. Zander, “Performance of optimum transmitter power control in cellular radio systems,” IEEE Trans. Veh. Technol., vol. 41, no. 1, pp. 57–62, Feb. 1992, doi: 10.1109/25.120145.
H. Koivo and M. Elmusrati, “Systems Engineering in Wireless Communications,” Wiley, p. 357, 2009.
A. F. Isnawati, R. Hidayat, S. Sulistyo, and I. W. Mustika, “Feasible solution of centralized power control for multi channel cognitive femtocell network,” in 2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE), Chiang Mai, Thailand, Oct. 2015, pp. 539–542. doi: 10.1109/ICITEED.2015.7409006.
A. F. Isnawati, S. Larasati, and Mabar, “Metode Power Control sebagai Manajemen Interferensi pada Komunikasi Device to Device,” JNTETI, vol. 10, no. 4, pp. 369–374, Nov. 2021, doi: 10.22146/jnteti.v10i4.2433.
P. Wang, J. Han, F. Liu, Y. Liu, and J. Xu, “A Power Allocation Algorithm Based on Cooperative Game Theory in Multi-cell OFDM Systems,” JNW, vol. 6, no. 11, pp. 1610–1617, Nov. 2011, doi: 10.4304/jnw.6.11.1610-1617.
Zhenyu Liang, Yong Huat Chew, and Chi Chung Ko, “Decentralized bit, subcarrier and power allocation with interference avoidance in multicell OFDMA systems using game theoretic approach,” in MILCOM 2008 - 2008 IEEE Military Communications Conference, San Diego, CA, USA, Nov. 2008, pp. 1–7. doi: 10.1109/MILCOM.2008.4753269.
N. Nie, C. Comaniciu, and P. Agrawal, “A Game Theoretic Approach to Interference Management in Cognitive Networks,” in Wireless Communications, vol. 143, P. Agrawal, P. J. Fleming, L. Zhang, D. M. Andrews, and G. Yin, Eds. New York, NY: Springer New York, 2007, pp. 199–219. doi: 10.1007/978-0-387-48945-2_9.
S. A. Saad, M. Ismail, and R. Nordin, “A Survey on Power Control Techniques in Femtocell Networks,” JCM, vol. 8, no. 12, pp. 845–854, 2013, doi: 10.12720/jcm.8.12.845-854.
S. A. Grandhi and J. Zander, “Constrained power control in cellular radio systems,” in Proceedings of IEEE Vehicular Technology Conference (VTC), Stockholm, Sweden, 1994, pp. 824–828. doi: 10.1109/VETEC.1994.345205.
A. F. Isnawati, K. Rasyid, and M. A. Afandi, “Analisis Unjuk Kerja Sistem Kendali Daya Terpusat pada Jaringan Homogen Femtocell,” JTERA, vol. 6, no. 1, p. 15, Jun. 2021, doi: 10.31544/jtera.v6.i1.2021.15-24.
Z. Han and K. J. R. Liu, “Noncooperative Power-Control Game and Throughput Game Over Wireless Networks,” IEEE Transactions on Communications, vol. 53, no. 10, pp. 1625–1629, Oct. 2005, doi: 10.1109/TCOMM.2005.857136.
L. Qian, X. Li, J. Attia, and Z. Gajic, “Power control for cognitive radio ad hoc networks,” in Local & Metropolitan Area Networks, 2007. LANMAN 2007. 15th IEEE Workshop on, 2007, pp. 7–12. Accessed: Jan. 28, 2016. [Online]. Available: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4295967
V. Chandrasekhar, J. G. Andrews, T. Muharemovic, Zukang Shen, and A. Gatherer, “Power control in two-tier femtocell networks,” IEEE Transactions on Wireless Communications, vol. 8, no. 8, pp. 4316–4328, Aug. 2009, doi: 10.1109/TWC.2009.081386.
A. Agrawal, J. Andrews, J. Cioffi, and T. Meng, “Power control for successive interference cancellation with imperfect cancellation,” in Communications, 2002. ICC 2002. IEEE International Conference on, 2002, vol. 1, pp. 356–360. Accessed: Feb. 18, 2016. [Online]. Available: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=996875
O. Durowoju, K. Arshad, and K. Moessner, “Distributed power control algorithm for cognitive radios with primary protection via spectrum sensing under user mobility,” Ad Hoc Networks, vol. 10, no. 5, pp. 740–751, Jul. 2012, doi: 10.1016/j.adhoc.2011.02.005.
A. T. Hoang and Y.-C. Liang, “Maximizing spectrum utilization of cognitive radio networks using channel allocation and power control,” in Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th, 2006, pp. 1–5. Accessed: Apr. 20, 2016. [Online]. Available: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4109522
S. Im, H. Jeon, and H. Lee, “Autonomous distributed power control for cognitive radio networks,” in Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th, 2008, pp. 1–5. Accessed: Feb. 18, 2016. [Online]. Available: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4657095
M. Rasti, M. Hasan, L. B. Le, and E. Hossain, “Distributed Uplink Power Control for Multi-Cell Cognitive Radio Networks,” IEEE Trans. Commun., vol. 63, no. 3, pp. 628–642, Mar. 2015, doi: 10.1109/TCOMM.2015.2397885.
A. F. Isnawati, R. Hidayat, S. Sulistyo, and I. W. Mustika, “A comparative study on centralized and distributed power control in cognitive femtocell network,” in 2016 8th International Conference on Information Technology and Electrical Engineering (ICITEE), Yogyakarta, Indonesia, Oct. 2016, pp. 1–6. doi: 10.1109/ICITEED.2016.7863237.
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Mar 29, 2022
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Isnawati, A. F. (2022). Feasibility Analysis of Distributed Power Control System for Cognitive Radio Networks. Jurnal Nasional Teknik Elektro, 11(1), 29–35. https://doi.org/10.25077/jnte.v11n1.994.2022
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Telecommunication
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