Information theory of molecular communication: directions and challenges
作者： Amin Gohari , Mahtab Mirmohseni , Masoumeh Nasiri-Kenari
DOI: 10.1109/TMBMC.2016.2640284
关键词:
摘要: Molecular communication (MC) is a strategy that uses molecules as carriers of information, and widely used by biological cells. As an interdisciplinary topic, it has been studied biologists, theorists growing number information theorists. This paper aims to specifically bring MC the attention To do this, we first highlight unique mathematical challenges studying capacity molecular channels. Addressing these problems requires use known, or development new tools. Toward this goal, review subjective selection existing literature on theoretic aspect The emphasis here techniques used, rather than setup modeling specific paper. Finally, example, propose concrete problem was motivated our study MC.
harvard.edu
arxiv.org
sci-hub.se 参考文章(94)
Lav R. Varshney, Manolis Kellis, Lara Dolecek, Michelle Effros, Olgica Milenkovic, Alexandros G. Dimakis, Sriram Vishwanath, Edmund M. Yeh, Muriel Médard, Haris Vikalo, Jeffrey G. Andrews, Randall Berry, Ken R. Duffy, Soheil Feizi, Andrea Montanari, Stuart Licht, Jon Sorenson, Saul Kato, A Perspective on Future Research Directions in Information Theory arXiv: Information Theory. ,(2015)
Baris Atakan, Ozgur B. Akan, On Channel Capacity and Error Compensation in Molecular Communication Transactions on Computational Systems Biology X. ,vol. 10, pp. 59- 80 ,(2008) , 10.1007/978-3-540-92273-5_4
Gholamali Aminian, Hamidreza Arjmandi, Amin Gohari, Masoumeh Nasiri-Kenari, Urbashi Mitra, Capacity of Diffusion-Based Molecular Communication Networks Over LTI-Poisson Channels IEEE Transactions on Molecular, Biological, and Multi-Scale Communications. ,vol. 1, pp. 188- 201 ,(2015) , 10.1109/TMBMC.2015.2502858
Christopher Rose, I. Saira Mian, A fundamental framework for molecular communication channels: Timing & payload 2015 IEEE International Conference on Communications (ICC). pp. 1043- 1048 ,(2015) , 10.1109/ICC.2015.7248460
C. V. Pao, Nonlinear Parabolic and Elliptic Equations ,(1993)
Philip E Protter, Philip E Protter, Stochastic Differential Equations Springer, Berlin, Heidelberg. pp. 187- 284 ,(1990) , 10.1007/978-3-662-02619-9_6
Venkat Anantharam, Amin Aminzadeh Gohari, Sudeep Kamath, Chandra Nair, On Maximal Correlation, Hypercontractivity, and the Data Processing Inequality studied by Erkip and Cover arXiv: Information Theory. ,(2013)
Eli Upfal, Michael Mitzenmacher, Probability and Computing: Randomized Algorithms and Probabilistic Analysis ,(2005)
Hessam Mahdavifar, Ahmad Beirami, Diffusion channel with Poisson reception process: capacity results and applications 2015 IEEE International Symposium on Information Theory (ISIT). pp. 1956- 1960 ,(2015) , 10.1109/ISIT.2015.7282797
Robert J. McEliece, The theory of information and coding ,(1977)