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The terahertz (THz) technology has fascinated lot of attention due to its enormous potential for a wide range of applications in the public, private and enterprise domains. This research work demonstrates the design structure and analysis of graphene based waveguide fed hybrid plasmonic THz patch antenna (HPTPA) constructed at around 3 THz. Hybrid plasmonic THz waveguide (HPTW) as a feeding line for the proposed THz patch antenna can increases antenna efficiency. The graphene is sandwiched between gallium arsenide (GaAs) and silver (Ag) to confine THz waves efficiently. Using mode analysis in finite element method for the proposed HPTW the propagation length, effective refractive index has been thoroughly examined. Based on the finite element method (FEM) approach, the results of the designed graphene-based waveguide fed HPTPA shows a high effective refractive index of 2.9, large propagation length of 230 µm, gain of 2.29 dBi, bandwidth of 200 GHz and efficiency of 85 % has obtained. The proposed graphene-based waveguide fed HPTPA could be beneficial to enable several photonic integrated circuit applications in next-generation wireless communication.

The 5G standard is aimed at supporting Quality of Service (QoS)-constrained traffic types, enabling new services to be reliably built into scenarios such as industrial automation and smart cities. The support comes via a strong emphasis on resource virtualization in the form of slices. Due to the strong QoS constraints of each slice, determining how to actually split the radio resources among different slices, while considering simultaneously the priority of slices, network efficiency, and each slice's target QoS, is very challenging. In this paper, we propose a radio resource scheduling scheme, designed on the basis of a strong theoretical analysis, to address the challenges. We formulate a Chance-constrained optimum resource allocation problem, which is then converted into a low complexity deterministic knapsack problem utilizing the concept of effective bandwidth. The performance analysis proves that our proposal is better in efficiency than the existing schemes, under different network conditions and QoS constraints. Results clearly show the effectiveness of our scheme in the considered 5G scenarios.