Guardado en:
Detalles Bibliográficos
Autores principales: Basnayaka, Dushyantha A, Firag, Abdulla
Formato: Preprint
Publicado: 2025
Materias:
Acceso en línea:https://arxiv.org/abs/2501.10122
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866915107477389312
author Basnayaka, Dushyantha A
Firag, Abdulla
author_facet Basnayaka, Dushyantha A
Firag, Abdulla
contents In this paper, we present a vision for the physical layer of 6G and beyond, where emerging physical layer technologies integrate to drive wireless links toward mediumband operation, addressing a major challenge: deep fading, a prevalent, and perhaps the most consequential, obstacle in wireless communication link performance. By leveraging recent insights into wireless channel fundamentals and advancements in computing, multi-modal sensing, and AI, we articulate how reflecting surfaces (RS), sensing, digital twins (DTs), ray-tracing, and AI can work synergistically to lift the burden of deep fading in future wireless communication networks. This refreshingly new approach promises transformative improvements in reliability, spectral efficiency, energy efficiency, and network resilience, positioning 6G for truly superior performance.
format Preprint
id arxiv_https___arxiv_org_abs_2501_10122
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Integrating Mediumband with Emerging Technologies: Unified Vision for 6G and Beyond Physical Layer
Basnayaka, Dushyantha A
Firag, Abdulla
Information Theory
In this paper, we present a vision for the physical layer of 6G and beyond, where emerging physical layer technologies integrate to drive wireless links toward mediumband operation, addressing a major challenge: deep fading, a prevalent, and perhaps the most consequential, obstacle in wireless communication link performance. By leveraging recent insights into wireless channel fundamentals and advancements in computing, multi-modal sensing, and AI, we articulate how reflecting surfaces (RS), sensing, digital twins (DTs), ray-tracing, and AI can work synergistically to lift the burden of deep fading in future wireless communication networks. This refreshingly new approach promises transformative improvements in reliability, spectral efficiency, energy efficiency, and network resilience, positioning 6G for truly superior performance.
title Integrating Mediumband with Emerging Technologies: Unified Vision for 6G and Beyond Physical Layer
topic Information Theory
url https://arxiv.org/abs/2501.10122