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Power Allocation for the Network Coded Cognitive Cooperative Network

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Power Allocation for the Network Coded Cognitive Cooperative Network
POWER ALLOCATION FOR THE NETWORK CODED COGNITIVE COOPERATIVE NETWORK by Major Awal Uddin Ahmed (ID: 1003) Major Md Shariful Islam(ID: 1004) Major K M Hasnut Zamil (ID: 1006)

A Project Report submitted to the department of Electrical Electronic and Communication Engineering in partial fulfillment of the requirements for the degree of Bachelor of Engineering in Electrical Electronic and Communication Engineering

Advisor: M. Shamim Kaiser

Military Institute of Science and Technology Mirpur Cantonment, Dhaka December 2010

To Our Beloved Parents

ii

DECLARATION

This thesis is a presentation of my original research work. Wherever contributions of others are involved, every effort is made to indicate this clearly, with due reference to the literature, and acknowledgement of collaborative research and discussions. The work was done under the guidance of Dr. M. Shamim Kaiser, at the Mililary Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka.

(Major Awal Uddin Ahmed (ID: 1003))

(Major Md Shariful Islam(ID: 1004))

(Major K M Hasnut Zamil (ID: 1006))

iii

CERTIFICATE

This is to certify that the thesis entitled POWER ALLOCATION FOR THE NETWORK CODED COGNITIVE COOPERATIVE NETWORK and submitted by Major Awal Uddin Ahmed (ID: 1003), Major Md Shariful Islam(ID: 1004), Major K M Hasnut Zamil (ID: 1006) for the degree of Bachelor of Engineering in Electrical Electronics and Communication Engineering. They embody original work under my supervision to the best of my knowledge.

(Signature in full of The Supervisor) Dr. M. Shamim Kaiser Assistant Professor (Visiting Faculty), EECE, MIST

iv

ACKNOWLEDGEMENTS

First, we would like to express our deepest gratitude to our advisor Professor Dr. M. Shamim Kaiser for his excellent guidance and continual support during the course of our degree and the project. Second, we would like to thank Professor S P Majumder for his valuable teaching during the course of our studies. For their valuable teaching in different



References: (1990), Regulatory Framework for Radio Spectrum Policy in the European Community, EUROPA, http://europa.eu. Akyildiz, I., W. Lee, M. Vuran, and S. Mohanty (2006), Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey, Computer Networks, 50 (13), 2127–2159. Cannons, J., R. Dougherty, C. F. Freiling, and K. Zeger (2006), Network routing capacity, IEEE Transactions on Information Theory, 52 (3), 777–788. Fragouli, C., J. Widmer, and J. Y. Le Boudec (2008), Efficient broadcasting using network coding, IEEE/ACM Transactions on Networking, 16 (2), 450–463. Haykin, S. (2005), Cr: Brain-empowered wireless communications, IEEE Journal on Selected Areas In Communications, 23, 201–220. III, J. M. (2000), Cognitive radio an integrated agent architecture for software defined radio dissertation, Scientific American, 294 (3), 66–73. Kaiser, M. S., and K. M. Ahmed (2010), Radio resource allocation for heterogeneous services in relay enhanced ofdma systems, JCM, 5 (6), 447–454. Kaiser, M. S., K. M. Ahmed, and R. A. Shah (2010), Power allocation in ofdm-based cognitive relay networks, in WCNIS, pp. 202–206. Li, D., X. Dai, and H. Zhang (2009), Game theoretic analysis of joint rate and power allocation in cognitive radio networks, IJCNS, 2 (1), 1–7. Ma, Y., H. Zhang, D. Yuan, and H.-H. Chen (2009), Adaptive power allocation with quality-of-service guarantee in cognitive radio networks, Comput. Commun., 32, 1975–1982, doi:10.1016/j.comcom.2009.06.012. OFCOM (2009), Digital dividend: Cognitive access consultation on licence-exempting cognitive devices using interleaved spectrum, http://www.ofcom.org.uk/consult/condocs/cognitive/cognitive.pdf. Yang, S., and J. Wu (2010), Efficient broadcasting using network coding and directional antennas in manets, IEEE Trans. Parallel Distrib. Syst., 21 (2), 148–161. 39 Yoon, M. K., K. H. Lee, and J. B. Song (2009), Performance analysis of distributed cooperative spectrum sensing for underlay cognitive radio, in Proceedings of the 11th international conference on Advanced Communication Technology - Volume 1, ICACT’09, pp. 338–343, IEEE Press, Piscataway, NJ, USA. 40

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