Energy-Efficient Power Allocation with Hybrid Beamforming for Millimetre-Wave 5G Massive MIMO System

Adeeb Salh; Lukman Audah‏; Nor Shahida Mohd Shah; Shipun Anuar Hamzah‏

doi:10.1007/s11277-020-07559-w

ScienceGate Book Chapters

JOURNAL ARTICLE

Energy-Efficient Power Allocation with Hybrid Beamforming for Millimetre-Wave 5G Massive MIMO System

Adeeb Salh Lukman Audah‏Nor Shahida Mohd Shah Shipun Anuar Hamzah‏

Year: 2020 Journal: Wireless Personal Communications Vol: 115 (1)Pages: 43-59 Publisher: Springer Science+Business Media

DOI: 10.1007/s11277-020-07559-w

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Beamforming Precoding MIMO Radio frequency Transmission (telecommunications) Efficient energy use Electronic engineering Telecommunications link Energy consumption Maximization Base station Telecommunications Mathematical optimization Electrical engineering Mathematics Engineering

Metrics

Cited By

1.77

FWCI (Field Weighted Citation Impact)

Refs

0.86

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Millimeter-Wave Propagation and Modeling

Physical Sciences → Engineering → Electrical and Electronic Engineering

Microwave Engineering and Waveguides

Physical Sciences → Engineering → Electrical and Electronic Engineering

Advanced MIMO Systems Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

Energy-Efficient Power Allocation with Hybrid Beamforming for Millimetre-Wave 5G Massive MIMO System

Metrics

Citation History

Topics

Related Documents

Beamforming and power allocation for energy-efficient massive MIMO

Hybrid beamforming for millimetre wave massive MU‐MIMO systems with IQ imbalance

Energy‐Efficient Optimal Power Allocation in Multi‐User Massive MIMO System With Hybrid Optimization

Power Allocation for Energy Efficient Optimization of Distributed MIMO System With Beamforming

Deep Learning Based Analog Beamforming Design for Millimetre Wave Massive MIMO System