Tactile Based Intelligence Touch Technology in IoT Configured WCN in B5G/6G-A Survey-Reference-Cited by-同舟云学术

Tactile Based Intelligence Touch Technology in IoT Configured WCN in B5G/6G-A Survey

Published:2023 Issue: Volume:11 Page:30639-30689
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gupta Mantisha¹^ORCID,Jha Rakesh Kumar²^ORCID,Jain Sanjeev³^ORCID

Affiliation:

1. School of Electronics and Communication Engineering (SoECE), Shri Mata Vaishno Devi University, Katra, Jammu, Jammu and Kashmir, India

2. Department of Electronics and Communication Engineering, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur (IIITDM Jabalpur), Jabalpur, India

3. Computer Science Department, Central University of Jammu, Jammu, Jammu and Kashmir, India

Funder

TEQIPIII

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/09701357.pdf?arnumber=9701357

Reference201 articles.

1. Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions

2. Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions

3. Consideration On Automation of 5G Network Slicing with Machine Learning

4. Enabling Cognitive Smart Cities Using Big Data and Machine Learning: Approaches and Challenges

5. Mobile Edge Computing Potential in Making Cities Smarter

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