Journal article

Symbol-by-Symbol Maximum Likelihood Detection for Cooperative Molecular Communication

Yuting Fang, Adam Noel, Nan Yang, Andrew W Eckford, Rodney A Kennedy

IEEE Transactions on Communications | Institute of Electrical and Electronics Engineers | Published : 2019

Abstract

In this paper, symbol-by-symbol maximum likelihood (ML) detection is proposed for a cooperative diffusion-based molecular communication (MC) system. In this system, the transmitter (TX) sends a common information symbol to multiple receivers (RXs) and a fusion center (FC) chooses the TX symbol that is more likely, given the likelihood of its observations from all RXs. The transmission of a sequence of binary symbols and the resultant intersymbol interference are considered in the cooperative MC system. Three ML detection variants are proposed according to different RX behaviors and different knowledge at the FC. The system error probabilities for two ML detector variants are derived, one of ..

View full abstract

Grants

Funding Acknowledgements

The work of A. Noel was supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC) through a postdoctoral fellowship. This paper was presented in part at the IEEE ICC 2018 [1]. The associate editor coordinating the review of this paper and approving it for publication was M. Pierobon.