977 research outputs found
Maximum Likelihood Detection for Cooperative Molecular Communication
In this paper, symbol-by-symbol maximum likelihood (ML) detection is proposed
for a cooperative diffusion-based molecular communication (MC) system. In this
system, a fusion center (FC) chooses the transmitter's symbol that is more
likely, given the likelihood of the observations from multiple receivers (RXs).
We propose three different ML detection variants according to different
constraints on the information available to the FC, which enables us to
demonstrate trade-offs in their performance versus the information available.
The system error probability for one variant is derived in closed form.
Numerical and simulation results show that the ML detection variants provide
lower bounds on the error performance of the simpler cooperative variants and
demonstrate that majority rule detection has performance comparable to ML
detection when the reporting is noisy.Comment: 7 pages, 4 figurs. This work has been accepted by the IEEE ICC 201
Bacterial relay for energy efficient molecular communications
In multi-cellular organisms, molecular signaling spans multiple distance scales and is essential to tissue structure and functionality. Molecular communications is increasingly researched and developed as a key subsystem in the Internet-of-Nano-Things paradigm. While short range microscopic diffusion communications is well understood, longer range channels can be inefficient and unreliable. Static and mobile relays have been proposed in both conventional wireless systems and molecular communication contexts. In this paper, our main contribution is to analyze the information delivery energy efficiency of bacteria mobile relays. We discover that these mobile relays offer superior energy efficiency compared with pure diffusion information transfer over long diffusion distances. This paper has widespread implications ranging from understanding biological processes to designing new efficient synthetic biology communication systems
Symbol-by-Symbol Maximum Likelihood Detection for Cooperative Molecular Communication
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
which is in closed form. The optimal molecule allocation among RXs to minimize
the system error probability of one variant is determined by solving a joint
optimization problem. Also for this variant, the equal distribution of
molecules among two symmetric RXs is analytically shown to achieve the local
minimal error probability. Numerical and simulation results show that the ML
detection variants provide lower bounds on the error performance of simpler,
non-ML cooperative variants and demonstrate that these simpler cooperative
variants have error performance comparable to ML detectors.Comment: 15 pages, 7 figures; submission for possible IEEE publication. arXiv
admin note: text overlap with arXiv:1704.0562
Performance Analysis of D-MoSK Modulation in Mobile Diffusive-Drift Molecular Communication Relay System
Molecular communication (MC) is a new wireless communication technology, which uses molecules as information carriers. Diffusion-based MC is one of the most common MC methods. With the increase of diffusion distance, the molecular signal attenuation is serious, so the traditional communication technology of relay is introduced into the MC system. In this work, a mobile diffusive-drift MC relay model is investigated, in which the depleted molecule shift keying (D-MoSK) modulation is used. The closed-form expression of symbole error rate (SER) and the channel capacity are derived, meanwhile the impacts of several crucial parameters on the performance are discussed comprehensively
- …