IEEE Communications Letters · 2013 · 105 citations · 8 references
EngineeringCommunicationElectrical EngineeringDigital CommunicationInformation TheoryWireless CommunicationsChannel CodingChannel EstimationCommunication OverheadData SynchronizationPropagation DelayWireless Channel ModelingBlind Channel EstimationChannel DelayMolecular CommunicationMolecular DiffusionStatistical Channel ModelingSynchronizationThroughput
Synchronization is essential in communication systems, and because molecular communications have very low throughput, blind synchronization is preferred to reduce overhead. This paper introduces the first blind synchronization algorithm for diffusion‑based molecular communication channels. The algorithm estimates channel delay by applying a non‑decision directed maximum‑likelihood criterion to a diffusion‑based channel model, and its performance is analyzed through the Cramer–Rao lower bound and mean‑square‑error evaluation. The derived Cramer–Rao lower bound and mean‑square‑error analysis quantify the algorithm’s performance.
Synchronization is an essential feature of any communication system. Due to the very low throughput of molecular communications systems, blind synchronization is preferred in order to reduce communications overhead. In this paper, we present the first blind synchronization algorithm for the diffusion-based molecular communication channel. Considering a diffusion-based physical channel model, we use the non-decision directed maximum likelihood criterion for estimating the channel delay. We then derive the Cramer-Rao lower bound and evaluate the performance of the proposed synchronization algorithm by investigating its mean square error.
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1983 · 2.7K citations
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Ian F. Akyildiz, F. Brunetti, Cristina Blázquez · Computer Networks · 2008 · 1.3K citations