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Hamza Nachouane, Abdellah Najid, Abdelwahed Tribak and Fatima Riouch

R eferences [1] Federal Communications Commission, Spectrum Policy Task Force, “Report of the Spectrum Efficiency Working Group,” November 2002. [2] Federal Communications Commission, Facilitating Opportunities for Flexible, “Efficient and Reliable Spectrum Use Employing Cognitive Radio Technologies,” notice of proposed rulemaking and order, FCC 03-322, December 2003. [3] N. Kaabouch and W. C. Hu, Handbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic , University of North Dakota, US Spectrum Management, 2014

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Jiliang Zhang, Hong Jiang and Gaofeng Pan

R eferences [1] E. Hossain and V. Bhargava, Cognitive Wireless Communication Networks , Springer, 2007. [2] N. S. Ferdinand, D. B. da Costa, A. F. de Almeida, and M. Latvaaho, “Physical layer secrecy performance of TAS wiretap channels with correlated main and eavesdropper channels,” IEEE Commun. Lett. , vol. 3, no. 1, pp. 86-89, Feb. 2014. [3] U. M. Maurer, “Secret key agreement by public discussion from common information,” IEEE Trans. Inf. Theory , vol. 39, no. 3, pp. 733-742, May 1993. [4] Q. Li, H. Song, and K. Huang, “Achieving

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Leopoldo Angrisani, Domenico Capriglione, Gianni Cerro, Luigi Ferrigno and Gianfranco Miele

References [1] European Parliament and Council of the European Union (2010). Directive 2010/40/EU - on the framework for the deployment of Intelligent Transport Systems in the field of road transport and for interfaces with other modes of transport, Brussels, Belgium, 1-13. [2] Chen, S. (2012). Vehicular Dynamic Spectrum Access: Using Cognitive Radio for Automobile Networks. Ph.D. Dissertation. Worcester Polytechnic Institute. [3] Jiang, D., Delgrossi, L. (2008). IEEE 802.11p: Towards an international standard

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Arun Kumar, Hemant Rathore and Shikha Bharti

, Elvino S. Sousa, Collaborative spectrum sensing for opportunistic access in fading environments. New Frontiers in Dynamic Spectrum Access Networks, DySPAN 2005, First IEEE International Symposium on. IEEE, 2005. [5] Ghasemi, Amir, Elvino S. Sousa, Optimization of spectrum sensing for opportunistic spectrum access in cognitive radio networks, 4th IEEE Consumer Transmissions and Networking Conference, 2007. [6] Arun K, Manisha G, Design, comparative study and analysis of CDMA for different modulation techniques, EGYPTIAN INFORMATIC JOURNAL 2015; 16(3): 351

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Qun Li and Ding Xu

R eferences [1] J. Xue, Z. Feng, and K. Chen, “Beijing spectrum survey for cognitive radio applications,” in IEEE Vehicular Technology Conference Fall , 2013, pp. 1–5. [2] S. Haykin, “Cognitive radio: brain-empowered wireless communications,” IEEE Journal on Selected Areas in Communications , vol. 23, no. 2, pp. 201–220, 2005. [3] X. Kang, Y.-C. Liang, A. Nallanathan, K. Garg, and R. Zhang, “Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity,” IEEE Transactions on Wireless

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Mirosław Magnuski, Maciej Surma and Dariusz Wójcik

. 33, pp.26 -38, 1995. [6] L. Huang and P. Russer, Electrically tunable antenna design procedure for mobile applications, IEEE Trans. Microw. Theory Techn., vol. 56, pp.2789 -2797, 2008. [7] M. Kaltiokallio, R. Valkonen, K. Stadius, and J. Ryynanen, A 0.72.7GHz Blocker-Tolerant Compact-Size Single-Antenna Receiver for Wideband Mobile Applications, IEEE Trans. Microw. Theory Techn, vol. 61, pp. 3339-3349, 2013. [8] P. S. Hall, P. Gardner, and A. Faraone, Antenna requirements for software defined and cognitive radios, Proc. IEEE, vol. 100, pp.2262 -2270

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Syed Shakeel Hashmi, Syed Abdul Sattar and K. Soundararajan

Strategy with Robustness Against Noise Uncertainty for Cognitive Radio Networks." Arabian Journal for Science and Engineering (2015), pp. 1-7, 2015. [21] Z. Dai, J. Liu, C. Wang. "QoS-based device-to-device communication schemes in heterogeneous wireless networks." IET Communications 9.3 (2015), pp. 335-341, 2015. [22] R. Xie, F. R. Yu, H. Ji. "Dynamic resource allocation for heterogeneous services in cognitive radio networks with imperfect channel sensing." IEEE Transactions on Vehicular Technology 61.2 (2012): 770- 780, 2012

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Mathew John, Michael Inggs and Dario Petri

References E. Mollick, "Establishing Moore's Law," in Annals of the History of Computing, IEEE , vol. 28, no. 3, September 2009, pp. 62-75. F. S. Heunis, "Passive Coherent Location Radar using Software-Defined Radio Techniques," Master's thesis, University of Cape Town, Private Bag, Rondebosch, 7701, South Africa, May 2010. C. Tong, M. R. Inggs, and G. E. Lange, "Processing design of a networked passive coherent location system," in Proceedings of the 2011 IEEE Radar Conference

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Boris Stilman

References [1] M. Botvinnik, Chess, Computers, and Long- Range Planning, Springer-Verlag, New York, 1970. [2] W.T. Astbury, X-Ray Studies of Nucleic Acids, Symposia of the Society of Experimental Biology, 1, pp. 66-76, 1947. [3] M. Botvinnik, Blok-skema algorithma igry v shahmaty (in Russian: A Flow-Chart of the Algorithm for Playing Chess), Sovetskoe Radio, 1972. [4] M. Botvinnik, Computers in Chess: Solving Inexact Search Problems, Springer-Verlag, 1984. [5] E. Chargaff, E. 1951

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Jamal Zaidouni, Atika Menhaj, Kamal Ghoumid, Slimane Mekaoui, Ali El Moussati and Yassin El Hillali

systems,” Aerospace and Electronic Systems, IEEE Transactions on, vol. 49, pp. 1251-1262, APRIL 2013. [10] C. Fischer, H. L. Blocher, J. Dickmann, and W. Menzel, “Robust detection and mitigation of mutual interference in automotive radar,” in Radar Symposium (IRS), 2015 16th International, pp. 143-148, IEEE, 2015. [11] S. Li and G. Bi, “Improved spectrum sensing method for cognitive radio based on time domain averaging and correlation,” in The Proceedings of the Second International Conference on Communications, Signal Processing, and