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Computationally Efficient Adaptive Algorithms for Multicarrier Physical Layer

Abstract : The main objective of our thesis was to reduce the complexity of the existing adaptive algorithms for multi-carrier systems, both, from a theoretical/algorithmic perspective as well as taking advantage from the adaptive nature of the state-of-the-art underlying implementation platforms. To reach this objective, adaptation was analyzed both from an algorithmic as well as an architectural point of view. From an algorithmic perspective, an insight into the inherent pattern, which exists in the optimal bit-allocation procedure and based upon this pattern the design of a novel Optimal Discrete Bit Loading algorithm was performed which has a complexity significantly lower than existing algorithms for discrete bit-loading Afterwards, theoretical developments for an optimal power-allocation including the Peak-Power Constraint and the design of a novel algorithm for Peak-Power Constrained Optimal Power Allocation was performed which involves a complexity significantly lower than the classical method of Iterative- Water-filling, which is conventionally employed for such constrained power allocations. Also, targeting channel coding, a proposal of the design and optimization of Finite-Length Irregular LDPC Codes was made based on the Wave-Quantization methodology. Finally, a methodology to tune the hardware resources of a flexible underlying architecture (e.g. FPGA) at run-time based upon the needs of the channel and system is proposed.
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https://pastel.archives-ouvertes.fr/pastel-00006156
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Submitted on : Sunday, June 20, 2010 - 8:00:00 AM
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  • HAL Id : pastel-00006156, version 1

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Asad Mahmood. Computationally Efficient Adaptive Algorithms for Multicarrier Physical Layer. domain_other. ENSTA ParisTech, 2008. English. ⟨pastel-00006156⟩

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