Bounds on Distance Estimation via Diffusive Molecular Communication

Abstract

This paper studies distance estimation for diffusive molecular communication. The Cramer-Rao lower bound on the variance of the distance estimation error is derived. The lower bound is derived for a physically unbounded environment with molecule degradation and steady uniform flow. The maximum likelihood distance estimator is derived and its accuracy is shown via simulation to perform very close to the Cramer-Rao lower bound. An existing protocol is shown to be equivalent to the maximum likelihood distance estimator if only one observation is made. Simulation results also show the accuracy of existing protocols with respect to the Cramer-Rao lower bound.

7 pages, 5 figures, 1 table. Will be presented at the 2014 IEEE Global Communications Conference (GLOBECOM) in Austin, TX, USA, on December 9, 2014

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• Joint Channel Parameter Estimation via Diffusive Molecular Communication
• A Survey on Estimation Schemes in Molecular Communications
• Fluid Dynamics-Based Distance Estimation Algorithm for Macroscale Molecular Communication
• Channel Estimation Techniques for Diffusion-Based Molecular Communications
• On Molecular Flow Velocity Meters
• Diffusion Based Cooperative Molecular Communication in Nano-Networks