Device Selection and Beamforming Optimization in Large-Scale mmWave IoT Networks
Author:
Affiliation:
1. Information Systems Architecture Science Research Division, National Institute of Informatics, Tokyo, Japan
2. Principles of Informatics Research Division, National Institute of Informatics, Tokyo, Japan
Funder
Grant-in-Aid for Scientific Research
Ministry of Education, Culture, Sports, Science and Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/9973413/09850984.pdf?arnumber=9850984
Reference31 articles.
1. Coverage Analysis of Integrated Sub-6GHz-mmWave Cellular Networks With Hotspots
2. Resource Allocation for Multi-User Downlink URLLC-OFDMA Systems
3. Spectrum and Energy Efficiency Optimization for Hybrid Precoding-Based SWIPT-Enabled mmWave mMIMO-NOMA Systems
4. BEAMWAVE: Cross-layer Beamforming and Scheduling for Superimposed Transmissions in Industrial IoT mmWave Networks
5. Adaptive Beam-Frequency Allocation Algorithm with Position Uncertainty for Millimeter-Wave MIMO Systems
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1. Frequency-Scanning-Based Fast Multiuser Beam Training for Wideband Massive MIMO;IEEE Internet of Things Journal;2024-06-01
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