Molecular Communications: Channel Model and Physical Layer Techniques
Weisi Guo, Taufiq Asyhari, Nariman Farsad, H. Birkan Yilmaz, and Bin Li, Andrew Eckford, Chan-Byoung Chae

TL;DR
This paper reviews recent advances in molecular communications, focusing on channel models, modulation, error correction, and signal processing techniques to enable reliable and practical system development.
Contribution
It provides a comprehensive overview of channel modeling and physical layer techniques, laying a foundation for higher layer research and prototype development in molecular communications.
Findings
Comparison of molecular and radio-wave pathloss models
Design of modulation and error correction schemes
Signal processing methods to suppress inter-symbol interference
Abstract
This article examines recent research in molecular communications from a telecommunications system design perspective. In particular, it focuses on channel models and state-of-the-art physical layer techniques. The goal is to provide a foundation for higher layer research and motivation for research and development of functional prototypes. In the first part of the article, we focus on the channel and noise model, comparing molecular and radio-wave pathloss formulae. In the second part, the article examines, equipped with the appropriate channel knowledge, the design of appropriate modulation and error correction coding schemes. The third reviews transmitter and receiver side signal processing methods that suppress inter-symbol-interference. Taken together, the three parts present a series of physical layer techniques that are necessary to producing reliable and practical molecular…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMolecular Communication and Nanonetworks · Wireless Body Area Networks · Energy Harvesting in Wireless Networks
