Fundamentals of Graphene-Enabled Wireless On-Chip Networking

Abadal, Sergi; Llátser, Ignacio; Mestres, Albert; Solé-Pareta, Josep; Alarcón, Eduard; Cabellos‐Aparicio, Albert

doi:10.1007/978-3-319-50688-3_13

Cited by 2 publications

(2 citation statements)

References 57 publications

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“…The properties of carbon nanotubes make them suitable for making antennas on high-frequency chips. In addition to the above, the design of graphene-based plasmonic antennas using electromagnetic waves up to the range of ten terahertz for wireless in-chip communication has also been introduced and has recently been considered [8]. In this paper, the authors claim that the many benefits of using graphene will bring great success in wireless inchip communication.…”

Section: -1-4-thzmentioning

confidence: 99%

Mathematical Modeling of Flow Control Mechanism in Wireless Network-on-Chip

Rad¹,

Gerami²

2023

jist

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Network-on-chip (NoC) is an effective interconnection solution of multicore chips. In recent years, wireless interfaces (WIs) are used in NoCs to reduce the delay and power consumption between long-distance cores. This new communication structure is called wireless network-on-chip (WiNoC). Compared to the wired links, demand to use the shared wireless links leads to congestion in WiNoCs. This problem increases the average packet latency as well as the network latency. However, using an efficient control mechanism will have a great impact on the efficiency and performance of the WiNoCs. In this paper, a mathematical modeling-based flow control mechanism in WiNoCs has been investigated. At first, the flow control problem has been modeled as a utility-based optimization problem with the wireless bandwidth capacity constraints and flow rate of processing cores. Next, the initial problem has been transformed into a dual problem without limitations and the best solution of the dual problem is obtained by the gradient projection method. Finally, an iterative algorithm is proposed in a WiNoC to control the flow rate of each core. The simulation results of synthetic traffic patterns show that the proposed algorithm can control and regulate the flow rate of each core with an acceptable convergence. Hence, the network throughput will be significantly improved.

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Section: -1-4-thzmentioning

confidence: 99%

Mathematical Modeling of Flow Control Mechanism in Wireless Network-on-Chip

Rad¹,

Gerami²

2023

jist

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“…This crosstalk can yield a highly non-linear channel, given that the programmatic commands exchanged by the controllers alter the metamaterial plane, in turn affecting the interference to the wireless channel. Note that most of these impairments are present in the physically similar WNoC environment, for which comprehensive propagation models have not been developed yet [54], [55].…”

Section: A Wireless Channel Characterizationmentioning

confidence: 99%

Computing and Communications for the Software-Defined Metamaterial Paradigm: A Context Analysis

et al. 2017

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Metamaterials are artificial structures which have recently enabled the realization of novel electromagnetic components with engineered and even unnatural functionalities. Existing metamaterials are specifically designed for a single application working under preset conditions (e.g. electromagnetic cloaking for a fixed angle of incidence) and cannot be reused. Software-Defined Metamaterials (SDMs) are a much sought-after paradigm shift, exhibiting electromagnetic properties that can be reconfigured at runtime using a set of software primitives. To enable this new technology, SDMs require the integration of a network of controllers within the structure of the metamaterial, where each controller interacts locally and communicates globally to obtain the programmed behavior. The design approach for such controllers and the interconnection network, however, remains unclear due to the unique combination of constraints and requirements of the scenario. To bridge this gap, this paper aims to provide a context analysis from the computation and communication perspectives. Then, analogies are drawn between the SDM scenario and other applications both at the micro and nano scales, identifying possible candidates for the implementation of the controllers and the intra-SDM network. Finally, the main challenges of SDMs related to computing and communications are outlined.

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Fundamentals of Graphene-Enabled Wireless On-Chip Networking

Cited by 2 publications

References 57 publications

Mathematical Modeling of Flow Control Mechanism in Wireless Network-on-Chip

Mathematical Modeling of Flow Control Mechanism in Wireless Network-on-Chip

Computing and Communications for the Software-Defined Metamaterial Paradigm: A Context Analysis

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