Future mobile technology: Channel access mechanism for LTE-LAA using deep learning

Future mobile technology: Channel access mechanism for LTE-LAA using deep learning

The exponential increase of future mobile phone users is resulting in growth of data traffic which is creating a shortage of the licensed spectrum. The scarcity led to the idea of using the unlicensed channel along with the licensed channel in Long Term Evolution (LTE), known as License Assisted Acc...

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Bibliographic Details
Main Authors: Naveera Salam, Muhammad Kumail Abbas, Mukesh Kumar Maheshwari, BS Chowdhry, Kashif Nisar
Format: Proceedings
Language:English
English
Published: IEEE 2021
Subjects:
TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
Online Access:https://eprints.ums.edu.my/id/eprint/31130/1/Future%20mobile%20technology%2C%20channel%20access%20mechanism%20for%20LTE-LAA%20using%20deep%20learning-ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/31130/2/Future%20mobile%20technology%2C%20channel%20access%20mechanism%20for%20LTE-LAA%20using%20deep%20learning.pdf

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https://eprints.ums.edu.my/id/eprint/31130/1/Future%20mobile%20technology%2C%20channel%20access%20mechanism%20for%20LTE-LAA%20using%20deep%20learning-ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/31130/2/Future%20mobile%20technology%2C%20channel%20access%20mechanism%20for%20LTE-LAA%20using%20deep%20learning.pdf

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