Design of Long-Term Evolution Based Mobile Edge Computing Systems to Improve 5G Systems-Reference-Cited by-同舟云学术

Design of Long-Term Evolution Based Mobile Edge Computing Systems to Improve 5G Systems

Published:2023-07-19 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Edge Computing and Applications (ICECAA)
language:
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Author:

Arun V.¹,Azhagiri M.²

Affiliation:

1. SRM Institute of Science and Technology,Chennai,Tamilnadu,India

2. SRM Institute of Science and Technology,Department of Computer Science and Engineering,Chennai,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10211064/10212098/10212420.pdf?arnumber=10212420

Reference22 articles.

1. MEMS based Sensor Robot for Immobilized Persons

2. Adaptive Offloading Decision Algorithm Based on Q-Learning for Mobile Edge Computing in 5G Networks;chen;Wireless Communications and Mobile Computing,2021

3. A Secured Frame Selection Based Video Watermarking Technique to Address Quality Loss of Data: Combining Graph Based Transform, Singular Valued Decomposition, and Hyperchaotic Encryption

4. Machine Learning System For Indolence Perception;kumar;2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA),2023

5. QoS-driven resource allocation for OFDMA systems with heterogeneous delay constraints;wang;IEEE Transactions on Vehicular Technology,2010

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