Abstract
One promising technique for communicating at the nanoscale is molecular communication (MC). In a molecular-communication-via-diffusion-scenario, the memory component of the channel is very high. This gives rise to what is known as inter-symbol interference. Traditional channel coding schemes cannot be utilized in MC due to the high memory. In this paper, a novel low complexity channel coding method is proposed for the molecular communication domain. The design of the proposed channel code takes into account the capability of a nano-device and the characteristics of the molecular communication channel. Simulation results confirm that the proposed method provides a significant improvement in terms of bit error rate. Moreover, a proof-of-concept implementation of the proposed coding scheme is done on a macro-scale testbed. The reliability of the communication link is shown to be significantly increased.
Highlights
For most nanoscale applications, it is not a viable option to communicate via electromagnetic (EM) signal due to challenges included bio-compatibility, power, and possible health hazards
The authors in [28] compared bit error rate (BER) performance of inter-symbol interference (ISI)-free codes, molecular coding distance (MoCo) codes, RM codes, and distinct Hamming codes for mobile robots equipped with molecular communication transceivers that release and detect alcohol molecules
Character error rates (CER) for different spray durations, and distances between the transmitter and the receiver, r0, are given in Fig. 6, and the results show that our scheme has a clear advantage in terms of CER
Summary
It is not a viable option to communicate via electromagnetic (EM) signal due to challenges included bio-compatibility, power, and possible health hazards. The authors in [28] compared BER performance of ISI-free codes, MoCo codes, RM codes, and distinct Hamming codes for mobile robots equipped with molecular communication transceivers that release and detect alcohol (or any similar chemical) molecules. Our code family is applicable for all different kinds of diffusive molecular communication channels without the requirement of the knowledge of the channel state information. This property is an important asset, as it leads to work for time-varying channels, a realm not extensively considered in the literature. Two methods are introduced to determine the scaling factor a
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