Deterministic K-Identification for MC Poisson Channel With Inter-Symbol Interference
IEEE Open Journal of the Communications Society, 2024•ieeexplore.ieee.org
Various applications of molecular communications (MCs) feature an alarm-prompt behavior
for which the prevalent Shannon capacity may not be the appropriate performance metric.
The identification capacity as an alternative measure for such systems has been motivated
and established in the literature. In this paper, we study deterministic K-identification (DKI)
for the discrete-time Poisson channel (DTPC) with inter-symbol interference (ISI), where the
transmitter is restricted to an average and a peak molecule release rate constraint. Such a …
for which the prevalent Shannon capacity may not be the appropriate performance metric.
The identification capacity as an alternative measure for such systems has been motivated
and established in the literature. In this paper, we study deterministic K-identification (DKI)
for the discrete-time Poisson channel (DTPC) with inter-symbol interference (ISI), where the
transmitter is restricted to an average and a peak molecule release rate constraint. Such a …
Various applications of molecular communications (MCs) feature an alarm-prompt behavior for which the prevalent Shannon capacity may not be the appropriate performance metric. The identification capacity as an alternative measure for such systems has been motivated and established in the literature. In this paper, we study deterministic K-identification (DKI) for the discrete-time Poisson channel (DTPC) with inter-symbol interference (ISI), where the transmitter is restricted to an average and a peak molecule release rate constraint. Such a channel serves as a model for diffusive MC systems featuring long channel impulse responses and employing molecule-counting receivers. We derive lower and upper bounds on the DKI capacity of the DTPC with ISI when the size of the target message set and the number of ISI channel taps may grow with the codeword length . As a key finding, we establish that for deterministic encoding, assuming that and both grow sub-linearly in , i.e., and with , where is the identification target rate and is the ISI rate, then the number of different messages that can be reliably identified scales super-exponentially in , i.e., , where is the DKI coding rate. Moreover, since and must fulfill , we show that optimizing (or equivalently the symbol rate) leads to an effective identification rate [bits/s] that scales sub-linearly with . This result is in contrast to the typical transmission rate [bits/s] which is independent of .
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