Deep reinforcement learning-based beam training with energy and spectral efficiency maximisation for millimetre-wave channels

Deep reinforcement learning-based beam training with energy and spectral efficiency maximisation for millimetre-wave channels

Abstract The millimetre-wave (mmWave) spectrum has been investigated for the fifth generation wireless system to provide greater bandwidths and faster data rates. The use of mmWave signals allows large-scale antenna arrays to concentrate the radiated power into narrow beams for directional transmiss...

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Bibliographic Details
Main Authors: Narengerile, John Thompson, Paul Patras, Tharmalingam Ratnarajah
Format: Article
Language:English
Published: SpringerOpen 2022-11-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
6G
Millimetre wave
Beam training
Deep reinforcement learning
Spectral efficiency
Energy efficiency
Online Access:https://doi.org/10.1186/s13638-022-02191-7

Internet

https://doi.org/10.1186/s13638-022-02191-7

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