Neural delay lines for TDMA based molecular communication in neural networks

Tezcan, Hakan; Oktuğ, Sema; Kök, Fatma Neşe

doi:10.1109/icc.2012.6364861

Cited by 13 publications

(15 citation statements)

References 9 publications

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“…The first inequality means for all feasible point U = U 1 , U 2 ∈ W that is different from NBS point U * , the overall change of two transmitters' utilities is negative according to the gradient.We can see that the second inequality is same as the definition of proportional fairness in (35). Therefore, we can conclude that the NBS of the emission control bargaining game is equivalent to the proportional fairness.…”

mentioning

confidence: 67%

“…The techniques from traditional wireless communications may be used to improve the multi-access performance. For examples, the time-division multiplexing techniques can be easily applied in molecular communications, where the molecular transmissions are scheduled by time slots and by utilizing the Neural Delay Boxes (NDBs) connecting different molecular transmitters to the shared medium [35]. Moreover, the space multiplexing techniques can also be applied in molecular multiple access, e.g., MIMO communication based on molecular diffusion [36].…”

Section: Inter-user Interferencementioning

confidence: 99%

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Nanoscale molecular communication networks: a game-theoretic perspective

Jiang

Chen

Liu

2015

EURASIP J. Adv. Signal Process.

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Currently, communication between nanomachines is an important topic for the development of novel devices. To implement a nanocommunication system, diffusion-based molecular communication is considered as a promising bio-inspired approach. Various technical issues about molecular communications, including channel capacity, noise and interference, and modulation and coding, have been studied in the literature, while the resource allocation problem among multiple nanomachines has not been well investigated, which is a very important issue since all the nanomachines share the same propagation medium. Considering the limited computation capability of nanomachines and the expensive information exchange cost among them, in this paper, we propose a game-theoretic framework for distributed resource allocation in nanoscale molecular communication systems. We first analyze the inter-symbol and inter-user interference, as well as bit error rate performance, in the molecular communication system. Based on the interference analysis, we formulate the resource allocation problem as a non-cooperative molecule emission control game, where the Nash equilibrium is found and proved to be unique. In order to improve the system efficiency while guaranteeing fairness, we further model the resource allocation problem using a cooperative game based on the Nash bargaining solution, which is proved to be proportionally fair. Simulation results show that the Nash bargaining solution can effectively ensure fairness among multiple nanomachines while achieving comparable social welfare performance with the centralized scheme.

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mentioning

confidence: 67%

Section: Inter-user Interferencementioning

confidence: 99%

Nanoscale molecular communication networks: a game-theoretic perspective

Jiang

Chen

Liu

2015

EURASIP J. Adv. Signal Process.

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“…Tezcan et al [20] address communication robustness in TDMA-based neuronal signaling by proposing a signal buffering mechanism with neural delay lines, which parallel fiber delay lines in optical network switching [20]. This paper is similar to their work in that both assume TDMA communication.…”

Section: Related Workmentioning

confidence: 83%

A Service-Oriented Architecture for Body Area NanoNetworks with Neuron-based Molecular Communication

et al. 2014

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Molecular communication provides communication and networking capabilities for nanomachines such as biosensors and bio-actuators to form and enable Body Area NanoNetworks (BANNs). This paper considers neuronbased molecular communication, which utilizes natural neurons as a primary component to build BANNs, and proposes an end-to-end software architecture to manage and control neuron-based BANNs through a series of software services. Those services aid to realize end user applications in healthcare, such as biomedical and rehabilitation applications. In the proposed architecture, a neuron-based BANN consists of a set of nanomachines and a network of neurons that are artificially formed into a particular topology. This paper investigates two mechanisms in the proposed architecture: (1) an artificial assembly method to form neurons into specific three-dimensional topology patterns and (2) a communication protocol for neuronal signaling based on Time Division Multiple Access (TDMA), called Neuronal TDMA. The assembly method uses silica beads as growth surface and bead-bead contacts as geometrical constraints on neuronal connectivity. A web lab experiment verifies this method with neuronal hippocampal cells. Neuronal TDMA leverages an evolutionary multiobjective optimization algorithm (EMOA) to optimize the signaling schedules for nanomachines. Simulation results demonstrate that the Neuronal TDMA efficiently obtains quality solutions.

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“…We describe these briefly below. [19] In this figure, there are three source nano-machines which have their transmitting neurons a, b, and c. Time is divided into frames, and each frame has three spike transmission slots. The sources would convey the order in which they transmit (e.g.…”

Section: Multiple Access In Molecular Communicationmentioning

confidence: 99%

Nonnegative code division multiple access techniques in molecular communication

Wang

Eckford

2017

2017 15th Canadian Workshop on Information Theory (CWIT)

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In molecular communication, two types of multiple access have been studied: time division and molecule division. In this work, we consider code division multiple access. However, unlike code division multiple access that has been used for electromagnetic signals, we investigate optical code division multiple access: since molecular signals have the same non-negativity feature as optical signals, this scheme is a promising solution for molecular communication.In this thesis, we perform experiments and set up simulation models which match these experiments. Moreover, using simulations, we find the features of optical code division multiple access for molecular communication. Our results include an optimal information transmission scheme, and an algorithm to decode molecular information signals. Finally, we demonstrate reliable communication with multiple access by using this scheme.ii Acknowledgements This thesis could not be completed without help, support, and encouragement from many people.

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Neural delay lines for TDMA based molecular communication in neural networks

Cited by 13 publications

References 9 publications

Nanoscale molecular communication networks: a game-theoretic perspective

Nanoscale molecular communication networks: a game-theoretic perspective

A Service-Oriented Architecture for Body Area NanoNetworks with Neuron-based Molecular Communication

Nonnegative code division multiple access techniques in molecular communication

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