Improving receiver performance of diffusion-based molecular MIMO communication

For the purpose of improving the relatively high transmission rate, we propose a novel multiple-input multiple-output (MIMO) system for molecular communication. To the best of our knowledge, our paper is the first that introduce the design of utilizes multiple types of molecules, multiple molecules emitters at transmitters and multiple molecules detectors at receivers in molecular MIMO. The impulse response of channel is obtained and mathematically modeled, the model is used to determine inter symbol interference (ISI). The designed receivers consist of three parts: concentration processor, detector and data fusion. The signal processing techniques for the molecular concentration with low computational complexity are proposed. For the design of detector, the Neyman-Pearson test is introduced to obtain the optimal detection performance. A low-complexity data fusion rule is proposed for data process.

[1]  Peter J. Thomas,et al.  The Diffusion-Limited Biochemical Signal-Relay Channel , 2003, NIPS.

[2]  Andrew W. Eckford,et al.  Asynchronous peak detection for demodulation in molecular communication , 2017, 2017 IEEE International Conference on Communications (ICC).

[3]  Ian F. Akyildiz,et al.  MIMO communications based on molecular diffusion , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[4]  Tuna Tugcu,et al.  ISI Mitigation Techniques in Molecular Communication , 2014, IEEE Transactions on Molecular, Biological and Multi-Scale Communications.

[5]  Andrew W. Eckford,et al.  Detection algorithms for molecular MIMO , 2015, 2015 IEEE International Conference on Communications (ICC).

[6]  Jean Philibert,et al.  The Open-access Journal for the Basic Principles of Diffusion Theory, Experiment and Application , 2007 .

[7]  Andrew W. Eckford,et al.  Molecular MIMO: From Theory to Prototype , 2016, IEEE Journal on Selected Areas in Communications.

[8]  Chan-Byoung Chae,et al.  Novel Modulation Techniques using Isomers as Messenger Molecules for Nano Communication Networks via Diffusion , 2012, IEEE Journal on Selected Areas in Communications.

[9]  Ian F. Akyildiz,et al.  Nanonetworks: A new communication paradigm , 2008, Comput. Networks.