Master of Science (MS)
Electrical and Computer Engineering
With a prefixed decoding order at receiver end, superposition coding approach intended for degraded broadcast channels was proposed to improve the average throughput in a point-to-point wireless channel. In this thesis, we first rigorously show the optimal decoding strategy when two Gaussian codebooks are superposed together to send source information to its receiver. Our results rigorously prove the optimality of performing successive interference cancellation at receiver end. Decoding failure at relays imposes a bottle neck to improving overall throughput in relay channels with decode-and-forward relaying strategy. We then extend this framework for a single link to relay channels to optimize the overall throughput using superposition coding and joint decoding at transmitters and receivers, respectively. Numerical results reveal considerable gains of our proposed schemes compared against traditional approach.
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Release the entire work immediately for access worldwide.
Goparaju, Anil Kumar, "Superposition coding based co-operative diversity schemes" (2005). LSU Master's Theses. 3435.