Mobile communications have been undergoing a generational change every ten years or
so. However, the time difference between the so-called “G's” is also decreasing. While fifth …

Mobile communications have been undergoing a generational change every ten years or
so. However, the time difference between the so-called" G's" is also decreasing. While fifth …

Machine learning (ML) empowers biomedical systems with the capability to optimize their
performance through modeling of the available data extremely well, without using strong …

In this letter, we propose a low-complexity detection algorithm for multi-input-multi-output
(MIMO) molecular communication (MC). By virtue of a rising edge in received signals, this …

Channel memory and intersymbol interference (ISI) are harmful factors in diffusion-based
molecular communication (DBMC) between bionanosensors. To tackle these problems, this …

Molecular communication is expected to be instrumental in the advancement of
nanotechnology. Implementation of robust molecular communication channels that work in …

In the context of the Internet of Bio-Nano Things (IoBNT), nano-devices are envisioned to
perform complex tasks collaboratively, ie, by communicating with each other. One candidate …

In conventional digital communication systems, synchronous transmission is achieved by
embedding the clocking information into the data signal. However, the implementation of this …

To transmit big graph data emerging from prevalent social networks and biological networks
over mobile devices has become challenging nowadays. Since graphs are usually …

The differential equations describing reaction-diffusion systems in molecular communication
are non-linear and do not admit closed-form solutions in general. Consequently …