On the Nanocommunications at THz Band in Graphene-Enabled Wireless Network-on-Chip

TL;DR

This paper models and analyzes the impact of molecular absorption on THz band graphene-based nanoantennas for wireless network-on-chip, proposing optimal power allocation to maximize channel capacity.

Contribution

It introduces a realistic channel model considering molecular absorption and temperature effects, and proposes an optimal power allocation scheme for graphene-enabled THz WiNoC.

Findings

Molecular absorption significantly degrades channel capacity at 1 THz.

Proposed model shows capacity reduction up to 26.8% due to MAA.

Optimal power allocation improves channel performance under practical conditions.

Abstract

One of the main challenges towards the growing computation-intensive applications with scalable bandwidth requirement is the deployment of a dense number of on-chip cores within a chip package. To this end, this paper investigates the Wireless Network- on-Chip (WiNoC), which is enabled by graphene-based nanoantennas (GNAs) in Terahertz frequency band. We first develop a channel model between the GNAs taking into account the practical issues of the propagation medium, such as transmission frequency, operating temperature, ambient pressure, and distance between the GNAs. In the Terahertz band, not only dielectric propagation loss but also molecular absorption attenuation (MAA) caused by various molecules and their isotopologues within the chip package constitutes the signal transmission loss. We further propose an optimal power allocation to achieve the channel capacity. The proposed channel model shows that the MAA significantly degrades the performance at certain frequency ranges compared to the conventional channel model, even when the GNAs are very closely located. More specifically, at transmission frequency of 1 THz, the channel capacity of the proposed model is shown to be much lower than that of the conventional model over the whole range of temperature and ambient pressure of up to 26.8% and 25%, respectively.