PROJECT TITLE :
Low-Complexity Noncoherent Signal Detection for Nanoscale Molecular Communications
Nanoscale molecular communication could be a viable means of exchanging info between nanomachines. In this investigation, a coffee-complexity and noncoherent signal detection technique is proposed to mitigate the inter-symbol-interference (ISI) and additive noise. In distinction to existing coherent detection methods of high complexity, the proposed noncoherent signal detector is a lot of practical when the channel conditions are exhausting to accumulate accurately or hidden from the receiver. The proposed theme employs the molecular concentration difference to detect the ISI corrupted signals and we demonstrate that it will suppress the ISI effectively. The distinction in molecular concentration is a stable characteristic, irrespective of the diffusion channel conditions. In terms of complexity, by excluding matrix operations or probability calculations, the new detection theme is particularly suitable for nanoscale molecular communication systems with a little energy budget or restricted computation resource.
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