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      Statistical Analysis of Time-Variant Channels in Diffusive Mobile Molecular Communications

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          Abstract

          In this paper, we consider a diffusive mobile molecular communication (MC) system consisting of a pair of mobile transmitter and receiver nano-machines suspended in a fluid medium, where we model the mobility of the nano-machines by Brownian motion. The transmitter and receiver nano-machines exchange information via diffusive signaling molecules. Due to the random movements of the transmitter and receiver nano-machines, the statistics of the channel impulse response (CIR) change over time. We introduce a statistical framework for characterization of the impulse response of time-variant MC channels. In particular, we derive closed-form analytical expressions for the mean and the autocorrelation function of the impulse response of the channel. Given the autocorrelation function, we define the coherence time of the time-variant MC channel as a metric that characterizes the variations of the impulse response. Furthermore, we derive an analytical expression for evaluation of the expected error probability of a simple detector for the considered system. In order to investigate the impact of CIR decorrelation over time, we compare the performances of a detector with perfect channel state information (CSI) knowledge and a detector with outdated CSI knowledge. The accuracy of the proposed analytical expression is verified via particle-based simulation of the Brownian motion.

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          Improving Receiver Performance of Diffusive Molecular Communication with Enzymes

          This paper studies the mitigation of intersymbol interference in a diffusive molecular communication system using enzymes that freely diffuse in the propagation environment. The enzymes form reaction intermediates with information molecules and then degrade them so that they cannot interfere with future transmissions. A lower bound expression on the expected number of molecules measured at the receiver is derived. A simple binary receiver detection scheme is proposed where the number of observed molecules is sampled at the time when the maximum number of molecules is expected. Insight is also provided into the selection of an appropriate bit interval. The expected bit error probability is derived as a function of the current and all previously transmitted bits. Simulation results show the accuracy of the bit error probability expression and the improvement in communication performance by having active enzymes present.
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            Mobile Ad Hoc Nanonetworks with Collision-Based Molecular Communication

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              Opportunistic relay selection with outdated CSI: outage probability and diversity analysis

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                Author and article information

                Journal
                2017-04-20
                Article
                1704.06298

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                Custom metadata
                7 pages, 5 figures, 1 table. Submitted to the 2017 IEEE Global Communications Conference (GLOBECOM), Communication Theory Symposium, on April 14, 2017
                cs.IT cs.ET math.IT

                Numerical methods, Information systems & theory, General computer science

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