A new frontier of wireless communication theory: diffusion-based molecular communications

Yeh, Ping-Cheng; Chen, Kwang-Cheng; Lee, Yen-Chi; Meng, Ling-San; Shih, Po‐Jen; Ko, Pin-Yu; Lin, Wei-An; Lee, Chia-Han

doi:10.1109/mwc.2012.6339469

Cited by 60 publications

(49 citation statements)

References 9 publications

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“…As shown in [17], the effect of ISI can be suppressed by properly choosing the system parameters. Signal processing, coding, and decision feedback equalization techniques are also shown to be effective for further mitigation of ISI [18]. On the other hand, the control and mitigation of the MUI is of critical importance to nanonetworks as we envision such networks to be distributed and uncoordinated.…”

Section: A System Modelmentioning

confidence: 99%

MIMO communications based on molecular diffusion

Meng

Yeh

Chen

et al. 2012

2012 IEEE Global Communications Conference (GLOBECOM)

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Diffusion-based communication refers to the transfer of information using molecules as message carriers whose propagation is based on the law of molecular diffusion. Path loss can have a major impact on the link quality in molecular communication as the signal strength is shown inversely proportional to the cube of the communication distance. In this paper, various diversity techniques for Multi-Input MultiOutput (MIMO) transmissions based on molecular diffusion are proposed to improve the communication performance in nanonetworks in the presence of Multi-User Interference (MUI). Analogous to radio communication, the concept of diversity and Spatial Multiplexing (SM) can be successfully applied in molecular communication. To the best of our knowledge, our paper is the first which investigates the aspects of MIMO transmissions for molecular communication. Numerical results show that the proposed diversity techniques can successfully lower the error rate. Further performance improvement can be obtained by properly allocating molecules among the transmission nodes if the Channel State Information (CSI) is available at the transmitter end. To optimize the system throughput, a dynamic switching mechanism between the diversity mode and the Spatial Multiplexing (SM) mode can be employed.

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Section: A System Modelmentioning

confidence: 99%

MIMO communications based on molecular diffusion

Meng

Yeh

Chen

et al. 2012

2012 IEEE Global Communications Conference (GLOBECOM)

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“…However, SISO-MC is not always suitable for the scenarios of high-speed transmission and some of the applications where reliability is indispensable. To solve these problems, some well-known techniques in the conventional wireless communications, e.g., multiple-input multiple-output (MIMO), have been redesigned for MC [15]. Specifically, MIMO based MC (MIMO-MC) is a recent trend in MC research, dated back to 2012 when it was first proposed in [16].…”

Section: Introductionmentioning

confidence: 99%

Spatial Modulation for Molecular Communication

Huang

Wen

Yang

et al. 2019

IEEE Trans.on Nanobioscience

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In this paper, we propose an energy-efficient spatial modulation based molecular communication (SM-MC) scheme, in which a transmitted symbol is composed of two parts, i.e., a space derived symbol and a concentration derived symbol. The space symbol is transmitted by embedding the information into the index of a single activated transmitter nanomachine. The concentration symbol is drawn according to the conventional concentration shift keying (CSK) constellation. Befitting from a single active transmitter during each symbol transmission period, SM-MC can avoid the inter-link interference problem existing in the current multiple-input multiple-output (MIMO) MC schemes, which hence enables low-complexity symbol detection and performance improvement. Specifically, in our low-complexity scheme, the space symbol is first detected by energy comparison, and then the concentration symbol is detected by the equal gain combining assisted CSK demodulation. In this paper, we analyze the symbol error rate (SER) of the SM-MC and its special case, namely the space shift keying based MC (SSK-MC), where only space symbol is transmitted and no CSK modulation is invoked. Finally, the analytical results are validated by computer simulations, and our studies demonstrate that both the SM-MC and SSK-MC are capable of achieving better SER performance than the conventional MIMO-MC and single-input single-output MC (SISO-MC) when the same symbol rate is assumed.

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“…In particular, the molecular communication via diffusion (MCvD) is a simple method, which does not require additional infrastructure or external energy. In this, the released molecules by the transmitter diffuse in any arbitrary direction through the biological medium following the Brownian motion to reach a receiver [3]- [4].…”

Section: Introduction Molecular Communication (Mc) Is a New Communmentioning

confidence: 99%

Modelling of multilayer biological medium under molecular communication paradigm

Al-Zu'bi

2017

2017 IEEE Life Sciences Conference (LSC)

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Abstract-Molecular communication is an emerging paradigm that enables both the biological and synthetic nanomachines to communicate with each other within an aqueous biological environment such as the communication between living cells. Prediction of the number of drug molecules near a target site, e.g., tumor cells, is very important for determining the required drug dosages to increase positive therapeutic outcomes. In this paper, we derive an analytical expression for the received molecular signal in a multilayer biological environment. We also present development of particle-based simulator and the analytical results for threelayer biological medium compared well with the simulation results. The effect of the diffusion coefficient and the separation distance between the transmitter and the receiver (e.g., targeted cells) are examined.

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A new frontier of wireless communication theory: diffusion-based molecular communications

Cited by 60 publications

References 9 publications

MIMO communications based on molecular diffusion

MIMO communications based on molecular diffusion

Spatial Modulation for Molecular Communication

Modelling of multilayer biological medium under molecular communication paradigm

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