Two-Dimensional Beam Selection by Multiarmed Bandit Algorithm Based on a Quantum Walk

Two-Dimensional Beam Selection by Multiarmed Bandit Algorithm Based on a Quantum Walk

This article proposes a novel beam selection method using a multiarmed bandit (MAB) algorithm based on a quantum walk (QW) principle, aimed at improving system performance. A massive multiple-input multiple-output system, employing multiple high-gain beams within a high-frequency band, is indispensa...

Full description

Saved in:
Bibliographic Details
Main Authors: Maki Arai, Tomoki Yamagami, Takatomo Mihana, Ryoichi Horisaki, Mikio Hasegawa
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Transactions on Quantum Engineering
Subjects:
Antenna arrays
beamforming
massive multiple-input multiple-output (MIMO)
multiarmed bandit (MAB) problem
quantum computing
quantum walk (QW)
Online Access:https://ieeexplore.ieee.org/document/10938938/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10938938/

Similar Items