Simulation of machine learning-based 6G systems in virtual worlds

04/15/2022
by   Ailton Oliveira, et al.
0

Digital representations of the real world are being used in many applications, such as augmented reality. 6G systems will not only support use cases that rely on virtual worlds but also benefit from their rich contextual information to improve performance and reduce communication overhead. This paper focuses on the simulation of 6G systems that rely on a 3D representation of the environment, as captured by cameras and other sensors. We present new strategies for obtaining paired MIMO channels and multimodal data. We also discuss trade-offs between speed and accuracy when generating channels via ray tracing. We finally provide beam selection simulation results to assess the proposed methodology.

READ FULL TEXT

page 4

page 5

page 6

page 10

page 11

research
01/18/2023

Digital Twin Based Beam Prediction: Can we Train in the Digital World and Deploy in Reality?

Realizing the potential gains of large-scale MIMO systems requires the a...
research
03/23/2023

Digital Twin of a Network and Operating Environment Using Augmented Reality

We demonstrate the digital twin of a network, network elements, and oper...
research
12/08/2021

Taxonomy of Virtual and Augmented Reality Applications in Education

This paper presents and analyses existing taxonomies of virtual and augm...
research
01/04/2018

On-the-fly Augmented Reality for Orthopaedic Surgery Using a Multi-Modal Fiducial

Fluoroscopic X-ray guidance is a cornerstone for percutaneous orthopaedi...
research
06/16/2020

Mobile Delivery Robots: Mixed Reality-Based Simulation Relying on ROS and Unity 3D

In the context of Intelligent Transportation Systems and the delivery of...
research
03/08/2019

Dataspace: A Reconfigurable Hybrid Reality Environment for Collaborative Information Analysis

Immersive environments have gradually become standard for visualizing an...

Please sign up or login with your details

Forgot password? Click here to reset