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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak: Naveera Salam, Muhammad Kumail Abbas, Mukesh Kumar Maheshwari, BS Chowdhry, Kashif Nisar
Formatua: Proceedings
Hizkuntza:English
English
Argitaratua: IEEE 2021
Gaiak:
TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
Sarrera elektronikoa: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

Internet

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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