Understanding and embracing the complexities of the molecular communication channel in liquids
Jiaming Wang, Dongyin Hu, Chirag C. Shetty, Haitham Hassanieh
Abstract
Molecular communication has recently gained a lot of interest due to its potential to enable micro-implants to communicate by releasing molecules into the bloodstream. In this paper, we aim to explore the molecular communication channel through theoretical and empirical modeling in order to achieve a better understanding of its characteristics, which tend to be more complex in practice than traditional wireless and wired channels. Our study reveals two key new characteristics that have been overlooked by past work. Specifically, the molecular communication channel exhibits non-causal inter-symbol-interference and a long delay spread, that extends beyond the channel coherence time, which limit decoding performance. To address this, we design, μ-Link a molecular communication protocol and decoder that accounts for these new insights. We build a testbed to experimentally validate our findings and show that μ-Link can improve the achievable data rates with significantly lower bit error rates.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers1
Ask how each one uses itRelated papers
- Heartbeat Aware Decoding in Molecular NetworksJiaming Wang, Samin Beheshti Zavareh, Haitham Hassanieh, Bhuvana KrishnaswamyINFOCOM 2025
- CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and TimelinessShoucheng Song, Youfang Lin, Sheng Han, Chang Yao et al.AAAI 2025 · 7 citations
- Actions Speak Louder Than Words: Rate-Reward Trade-off in Markov Decision ProcessesHaotian Wu, Gongpu Chen, Deniz GündüzICLR 2025
- Learning to Communicate Through Implicit Communication ChannelsHan Wang, Binbin Chen, Tieying Zhang, Baoxiang WangICLR 2025
- Optimal Resource Allocation for Statistical QoS Provisioning in Supporting mURLLC Over FBC-Driven 6G Terahertz Wireless Nano-NetworksXi Zhang, Jingqing Wang, H. Vincent PoorINFOCOM 2021 · 5 citations
