Crosstalk noise analysis in ternary logic multilayer graphene nanoribbon interconnects using shielding techniques

Abstract

SummaryThis paper presents an accurate structure for multilayer graphene nanoribbon (MLGNR) bundled interconnects to reduce the effects of crosstalk in ternary logic circuits. In the proposed structures, the signal line is surrounded by the shielding lines to reduce the crosstalk effects. The crosstalk effects such as noise peak, noise area, delay, and power consumptions are compared to effects produced by conventional methods. The impacts of process variation in the proposed structures are also presented. Additionally, the proposed MLGNR interconnect results are compared with the carbon nanotube interconnections. All the proposed circuits are implemented and simulated using HSPICE tool. The simulation results indicated that the passively shielded MLGNR interconnects provide lower crosstalk effects up to 47.7% and 69.4%, respectively, over the active and without shielded interconnects.