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RELIABLE MULTIMEDIA TRANSMISSION OVER COGNITIVE RADIO NETWORKS USING FOUNTAIN CODES Proceedings of the IEEE | Vol. 96, No. 1, January 2008 Harikeshwar Kushwaha, Student Member IEEE, Yiping Xing, Student Member IEEE, Rajarathnam Chandramouli, Senior Member IEEE, and Harry Heffes, Fellow IEEE 1
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Outline 2
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Introduction 3 Wireless multimedia applications require significant bandwidth and satisfying relatively tight delay constraints. Radio spectrum is a scarce resource. spectrum has already been allocated. Secondary spectrum access(FCC) dynamic access to the unused parts of the spectrum owned by the primary license holder facilitated by Cognitive radios
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Introduction 4
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Spectrum Pooling Concept 5
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6 A link is composed of multiple different SCs at different frequencies. achieving distributed streaming Reliable But, the coordination required between the SCs.
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Digital Fountain Codes 7 No need of coordination required between the SCs. Robust against the packet loss caused by the PU interference and other channel conditions.
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Primary User Arrival Model 8
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Coding Scheme for Scalable Multimedia Applications 10
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Problem description 11 How many?
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Problem description 12
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Subchannel Selection 13
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Simulation Result 20
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Simulation Result - Parameterization 21 1) Estimation of Number of Required Subchannels:
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Simulation Result - Parameterization 22
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Simulation Result - Parameterization 23 2) LT Codes(ideal case) : robust soliton distribution
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Simulation Result - Parameterization 24 3) Delay and Other Requirements:
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Simulation Result - Parameterization 25
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Simulation Result - Parameterization 26
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Simulation Result – Performance Analysis 27 Observation in Figs. 12-14 : 1) Dependence on X For each value of S, attains a maximum value at a specific value of X. 2) Dependence on S η attains another maximum at a specific value of S. 3) Dependence on λ η decreases as λ increases
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Conclusion 28 Propose a scheme for the transmission of distributed multimedia applications over cognitive radio networks with the help of digital fountain codes. For a given λ and number of original packets K, we can find out the value of the optimum number of SCs and the overhead X that give maximum spectral efficiency.
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