Reliability is a vital issue in the area of communication. In this paper, we particularly investigate the reliability issue for diffusion‐based molecular communication. First, we present the communication process in system model, where a classified model is further developed at the side of receiver to divide received molecules into signal, inter‐symbol interference, and noise branches. The classified model is used to prove the feasibility and necessity of improving the reliability performance. Second, an adaptive threshold variation (ATV) algorithm is designed to be able to improve the reliability performance that enables the receiver to adapt the channel condition properly through learning process. Furthermore, the complexity of ATV and th...
Diffusion-based molecular communication (MC) systems experience significant reliability losses. To b...
Molecular Communications (MC) is a promising paradigm to achieve message exchange between nano-machi...
It is envisioned that healthcare systems of the future will be revolutionized with the development a...
In this paper, a simple memory limited transmitter for molecular communication is proposed, in which...
Diffusion Based Molecular Communication (DBMC) uses messenger molecules to transfer information betw...
In the Molecular Communication (MC), molecules are utilized to encode, transmit, and receive informa...
Molecular communication is a new field of communication where molecules are used to transfer informa...
In this paper we prove that Inter-Symbol Interference (ISI) and Bit Error Rate (BER) of a Diffusion ...
© 2016 IEEE. We utilize the well known Additive Inverse Gaussian Noise (AIGN) communication channel ...
In this paper, the comprehensive delay and performance analyses of the $M$-ary molecular communicati...
In this paper, a diffusion-based molecular communication channel between two nano-machines is consid...
This paper proposes a feedback-controlled adaptive method for detecting signals in diffusion-based m...
In diffusion-based molecular communication, the most common modulation technique is based on the con...
In recent years several studies have been conducted to establish a theoretical basis for the perform...
In diffusion-based molecular communication (MC), the most common modulation technique is based on th...
Diffusion-based molecular communication (MC) systems experience significant reliability losses. To b...
Molecular Communications (MC) is a promising paradigm to achieve message exchange between nano-machi...
It is envisioned that healthcare systems of the future will be revolutionized with the development a...
In this paper, a simple memory limited transmitter for molecular communication is proposed, in which...
Diffusion Based Molecular Communication (DBMC) uses messenger molecules to transfer information betw...
In the Molecular Communication (MC), molecules are utilized to encode, transmit, and receive informa...
Molecular communication is a new field of communication where molecules are used to transfer informa...
In this paper we prove that Inter-Symbol Interference (ISI) and Bit Error Rate (BER) of a Diffusion ...
© 2016 IEEE. We utilize the well known Additive Inverse Gaussian Noise (AIGN) communication channel ...
In this paper, the comprehensive delay and performance analyses of the $M$-ary molecular communicati...
In this paper, a diffusion-based molecular communication channel between two nano-machines is consid...
This paper proposes a feedback-controlled adaptive method for detecting signals in diffusion-based m...
In diffusion-based molecular communication, the most common modulation technique is based on the con...
In recent years several studies have been conducted to establish a theoretical basis for the perform...
In diffusion-based molecular communication (MC), the most common modulation technique is based on th...
Diffusion-based molecular communication (MC) systems experience significant reliability losses. To b...
Molecular Communications (MC) is a promising paradigm to achieve message exchange between nano-machi...
It is envisioned that healthcare systems of the future will be revolutionized with the development a...