Radar Enhanced Multi-Armed Bandit for Rapid Beam Selection in Millimeter Wave Communications

被引：2

作者：

Sneh, Akanksha ^{[1
]}

Darak, Sumit ^{[1
]}

Ram, Shobha Sundar ^{[1
]}

Hanawal, Manjesh ^{[2
]}

机构：

[1] Indraprastha Inst Informat Technol Delhi, Dept ECE, New Delhi 110020, India

[2] Indian Inst Technol, Dept ECE, Mumbai 400076, Maharashtra, India

来源：

IEEE COMMUNICATIONS LETTERS | 2023年 / 27卷 / 09期

关键词：

Multi-armed bandit; joint radar communication; upper confidence bound; analog beamforming; TRACKING; ALIGNMENT;

D O I：

10.1109/LCOMM.2023.3291389

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

The complexity of learning the optimal beam for millimeter wave (mmW) communications using multi-arm bandit (MAB) algorithms linearly scales with the number of beams resulting in high latency. We propose integrating radar with communication to accelerate MAB learning by searching only those beams where the radar detects a mobile scatterer. Simulations show that our proposed radar-enhanced MAB reduces the beam exploration time resulting in improved throughput.

引用

页码：2441 / 2445

页数：5

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