Maximization of Total Throughput Using Pattern Search Algorithm in Underlay Cognitive Radio Network | ||||
| Menoufia Journal of Electronic Engineering Research | ||||
| Article 2, Volume 26, Issue 2, July 2017, Page 307-319 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjeer.2017.63501 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Ibrahim Zewail1; Waleed Saad2; Mona Shokair2; Sami. A. El_dolil2 | ||||
| 1Higher Institute of Engineering and Technology, kafr El-Shiekh, Egypt. | ||||
| 2Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt. | ||||
| Abstract | ||||
| he concept of Cognitive radio (CR) is considered as a promising solution for efficient spectrum utilization to solve the spectrum scarcity problem. This paper proposes Pattern Search (PS) algorithm for maximization of the total throughput of the communication system and increases the Quality-of-Service (QoS) of the Secondary Users (SUs) with saving QoS of the Primary Users (PUs). Moreover, a comparison between the proposed algorithm and other algorithms will be drawn. Further, the effect of the number of Primary Users (PUs), the number of Secondary Users (SUs) and the number of subcarriers are studied for increasing the total throughput for the SUs. | ||||
| References | ||||
|
ebkit-text-stroke-width: 0px; "> [1] Federal Communications Commission, “Spectrum policy task force report, (ET Docket No. 02-135),” Tech. Rep., Nov. 2002. [2] S. Haykin, “Cognitive radio: brain-empowered wireless communications,” IEEE Journal of Selected Areas on Communications, vol. 23, no. 2, pp. 201-220, Feb.2005. [3] International Telecommunication Union, “Definitions of software defined radio (SDR) and cognitive radio system (CRS)”, Report ITU-R SM.2152, 2009. [4] H. Venkataraman and G. Miro, “Cognitive Radio and Its Application for Next Generation Cellular and Wireless Networks”, Muntean, vol. 116, pp. 5-14, 2012. [5] I. F. Akyildiz, W. Lee, M. C. Vuran, and S. Mohanty, Next Generation/Dynamic Spectrum Access/Cognitive Radio Wireless Networks: A Survey, Comp. Networks J., Vol. 50, pp. 2127-59, Sept. 2006. [6] S. Srinivasa and S. A. Jafar, ‘‘The throughput potential of cognitive radio: a theoretical perspective,’’ IEEE Commun. Mag., vol. 45, no. 5, pp. 73-79, May 2007. [7] S. Huang, X. Liu, and Z. Ding, “Opportunistic spectrum access in cognitive radio networks,” in Proc. IEEE INFOCOM’08, pp.1427–1435, 2008. ext-size-adjust: auto; -webkit-text-st[8] Li, Yang, and A. Nosratinia, “Spectrum Sharing with Distributed Relay Selection and Clustering”, IEEE Transactions 0n, communications, vol. 16, pp.53 – 62, 2013. [9] G. C. Onwubolu and B. V.Babu, “New Optimization Techniques in Engineering” SpringerVerlag Berlin Heidelberg, 2004. [10] A. M. Benaya, M. Shokair, E.S. El-Rabaie and M. F. Elkordy,” Optimal Power Allocation for Sensing Based Spectrum Sharing in MIMO Cognitive Radio Network,” Wireless Personal Communications,Vol. 82, no. 4, pp 2695–2707, June 2015. [11] H. Rohling, “OFDM Concepts for Future Communication Systems” Springer-Verlag Berlin Heidelberg, pp.254, 2011. [12] Pei Zhang, Longxiang Yang, Xu Liu, “Subcarrier and Power Allocation in OFDM-based Cognitive Radio Systems”,I.J. Computer Network and Information Security, vol. 1, pp.25 – 30, Nov. 2010. [13] Majed Haddad, Aawatif M. Hayar, Geir E. Øien and Saad G. Kiani, “Uplink Distributed Binary Power Allocation for Cognitive Radio Networks”, international conference Cognitive Radio Oriented Wireless Networks and Communications, 2008. [14] V. Torczon, “On the Convergence of Pattern Search Algorithms”, SIAM J. Optim., pp. 1–25, 1997. [15] Audet, Charles and J. E. Dennis Jr. “Analysis of Generalized Pattern Searches”, SIAM Journal on Optimization, Volume 13, pp. 889–903, 2003. [16] Raju Basak, Amarnath Sanyal, Santosh Kumar Nath, Raghupati Goswami, “Comparative View of Genetic Algoithm and Pattern Search for Global Optimization” International Journal Of Engineering And Science, Vol.3, PP. 09-12, 2013. [17] Ahmed. A. Rosas, Mona Shokair and Sami. A. El_dolil, “Proposed Optimization Technique for Maximization of Throughput under Using Different Multicarrier Systems in Cognitive Radio Networks”, 2nd International Conference on Electrical and Electronics Engineering, Turkey, PP. 25 – 33, May 2015. [18] https://dakota.sandia.gov/sites/default/files/docs/5.4/htmlref/MethodCommands.html [19] Liu He, Huang Meng, Liu Gui-guo, Huang Dao, “A Hybrid Optimization Method Based on Chaotic Search and Pattern Search”, Journal of East China University of Science and Technology (Natural Science Edition), vol.34, pp. 126-130, 2008. | ||||
|
Statistics Article View: 118 |
||||
