collaborators

5 papers

eess.SP2025

Deep Learning-Based Data Fusion of 6G Sensing and Inertial Information for Target Positioning: Experimental Validation

Karthik Muthineni, Alexander Artemenko, Artjom Grudnitsky +2

The sixth-generation (6G) cellular technology will be deployed with a key feature of Integrated Sensing and Communication (ISAC), allowing the cellular network to map the environme…

eess.SP2024

A Survey of 5G-Based Positioning for Industry 4.0: State of the Art and Enhanced Techniques

Karthik Muthineni, Alexander Artemenko, Josep Vidal +1

The fifth generation (5G) mobile communication technology integrates communication, positioning, and mapping functionalities as an in-built feature. This has drawn significant atte…

eess.SP2024

From C-Band to mmWave-Band: Ray-Tracing-Assisted 5G-Based Indoor Positioning in Industrial Scenario

Karthik Muthineni, Alexander Artemenko

Private fifth-generation (5G) networks are increasingly becoming the industrys' choice of wireless communication networks for accelerating production processes. In this context, th…

eess.SP2024

Outlier Rejection for 5G-Based Indoor Positioning in Ray-Tracing-Enabled Industrial Scenario

Karthik Muthineni, Alexander Artemenko, Josep Vidal +1

The precise and accurate indoor positioning using cellular communication technology remains to be a prerequisite for several industrial applications, including the emergence of a n…

eess.SP2024

Digital Twin of Industrial Networked Control System based on Value of Information

Van-Phuc Bui, Daniel Abode, Pedro M. de Sant Ana +3

The paper examines a scenario wherein sensors are deployed within an Industrial Networked Control System, aiming to construct a digital twin (DT) model for a remotely operated Auto…