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

• 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; https://eprints.ums.edu.my/id/eprint/31130/; https://ieeexplore-ieee-org.ezproxy.ums.edu.my/stamp/stamp.jsp?tp=&arnumber=9369598

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...