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Detection for Hybrid Beamforming Millimeter Wave Massive MIMO Systems
- Source :
- IEEE Communications Letters. 25:1168-1172
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- In this letter, we improve the error performance of hybrid beamforming millimeter wave (mmWave) massive multi-input multi-output (MIMO) systems by designing detectors for such systems. First, we discuss the effect of the mmWave channel parameters and hybrid beamforming settings on the equivalent channel, which consists of the precoder, mmWave channel, and combiner. Then, we propose a low-complexity near-optimal signal detection scheme for the equivalent channel. Using computer simulations, it is shown that the error performance can be significantly improved and computational complexity reduced compared to those of state-of-the-art MIMO detection schemes. We achieve this reduced complexity by exploiting the available structure in the equivalent channel.
- Subjects :
- Computational complexity theory
Computer science
MIMO
Detector
020206 networking & telecommunications
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
Computer Science Applications
Euclidean distance
Modeling and Simulation
Extremely high frequency
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
Detection theory
Radio frequency
Electrical and Electronic Engineering
Computer Science::Information Theory
Communication channel
Subjects
Details
- ISSN :
- 23737891 and 10897798
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- IEEE Communications Letters
- Accession number :
- edsair.doi...........57c5e0bf05c79e0946b16fd08e8951d3