Machine Learning with Computer Networks: Techniques, Datasets and Models
Machine learning has found many applications in network contexts. These include solving
optimisation problems and managing network operations. Conversely, networks are …
optimisation problems and managing network operations. Conversely, networks are …
Beyond Words: Semantic Communication in the Metaverse
RAC Meza, AN Patra - SoutheastCon 2024, 2024 - ieeexplore.ieee.org
The goal of this article is to analyze the concepts related to semantic communication
(SemCom) within the growing field of the metaverse. Drawing from a range of scholarly …
(SemCom) within the growing field of the metaverse. Drawing from a range of scholarly …
A DRL-based resource allocation for IRS-enhanced semantic spectrum sharing networks
Y Zhang, J Li, G Mu, X Chen - EURASIP Journal on Advances in Signal …, 2024 - Springer
Semantic communication and spectrum sharing are pivotal technologies in addressing the
perennial challenge of scarce spectrum resources for the sixth-generation (6G) …
perennial challenge of scarce spectrum resources for the sixth-generation (6G) …
Semantic Communication System for 3D Video
K Tonchev, I Bozhilov… - 2023 Joint International …, 2023 - ieeexplore.ieee.org
Semantic communication systems are targeted to be the new frontier of 6G communications.
They will solve the issue that the current 5G systems are getting close to the Shannon limit …
They will solve the issue that the current 5G systems are getting close to the Shannon limit …
A Model for Quantifying the Degree of Understanding in Cross-domain M2M Semantic Communications
RYT Hou, G Liu, J Fong, H Zhang, SP Jeong - IEEE Access, 2024 - ieeexplore.ieee.org
This paper addresses the problem of semantic communications (SemComs) in intelligent
machine-to-machine (M2M) applications. Although M2M applications may employ other …
machine-to-machine (M2M) applications. Although M2M applications may employ other …
Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing
F Rezazadeh, H Chergui, S Siddiqui… - arXiv preprint arXiv …, 2023 - arxiv.org
An adaptive standardized protocol is essential for addressing inter-slice resource contention
and conflict in network slicing. Traditional protocol standardization is a cumbersome task …
and conflict in network slicing. Traditional protocol standardization is a cumbersome task …
AdaSem: Adaptive Goal-Oriented Semantic Communications for End-to-End Camera Relocalization
Recently, deep autoencoders have gained traction as a powerful method for implementing
goal-oriented semantic communications systems. The idea is to train a mapping from the …
goal-oriented semantic communications systems. The idea is to train a mapping from the …
Fast Geometric Learning of MIMO Signal Detection over Grassmannian Manifolds
Domain or statistical distribution shifts are a key staple of the wireless communication
channel, because of the dynamics of the environment. Deep learning (DL) models for …
channel, because of the dynamics of the environment. Deep learning (DL) models for …
A Zero Trust Framework for Realization and Defense Against Generative AI Attacks in Power Grid
MS Munir, S Proddatoori, M Muralidhara… - arXiv preprint arXiv …, 2024 - arxiv.org
Understanding the potential of generative AI (GenAI)-based attacks on the power grid is a
fundamental challenge that must be addressed in order to protect the power grid by realizing …
fundamental challenge that must be addressed in order to protect the power grid by realizing …
On the Computing and Communication Tradeoff in Reasoning-Based Multi-User Semantic Communications
Semantic communication (SC) is recognized as a promising approach for enabling reliable
communication with minimal data transfer while maintaining seamless connectivity for a …
communication with minimal data transfer while maintaining seamless connectivity for a …