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210512 ||| eng |
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|a books978-3-03936-017-8
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|a 9783039360161
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|a 9783039360178
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|a Maruta, Kazuki
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| 245 |
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|a Massive MIMO Systems
|h Elektronische Ressource
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| 260 |
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2020
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| 300 |
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|a 1 electronic resource (330 p.)
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|a block diagonalization (BD)
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|a diamond-ring slot
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|a mutual coupling isolation
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|a quantization noise
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|a noisy data
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|a distributed antenna systems (DAS)
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|a resource allocation
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|a Energy industries & utilities / bicssc
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|a multiple beam communications
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|a non-orthogonal unicast and multicast transmission
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|a far-field
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|a line-of-sight
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|a millimeter-wave
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|a broadcast channel
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|a n/a
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|a transverse slots
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|a discontinuous deception
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|a pilot assignment
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|a hybrid beam-forming
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| 653 |
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|a energy efficiency
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|a millimetre-wave
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|a Massive MIMO
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|a spectral efficiency
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| 653 |
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|a History of engineering & technology / bicssc
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|a antenna arrays
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|a antenna array
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|a Metamaterials (MTM)
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|a pilot decontamination
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|a beam domain
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|a large-scale fading coefficients
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|a channel estimation
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|a dynamic pilot allocation
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|a substrate integrated waveguide (SIW)
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|a leaky-wave antenna (LWA)
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|a non-orthogonal multiple access (NOMA)
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|a sounding reference signal (SRS)
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|a QAM
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|a statistical channel state information
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|a wireless communications
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|a beam-scanning
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|a pattern diversity
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|a mobile-phone antenna
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|a phase noise
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|a Ricean fading
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|a PHY layer
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|a massive multi-input multi-output (MIMO)
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|a dual-polarized antenna
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|a BCS
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|a massive MIMO
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|a hybrid beamforming
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|a BER
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|a pilot contamination
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|a diagnosis procedure
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|a multi-user MIMO
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|a computational efficiency
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|a overcomplete dictionary
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|a HetNets
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|a 5G
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|a 5G wireless networks
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|a MAC layer
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|a artificial intelligence
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|a power scaling
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|a precoding algorithms
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|a massive MIMO systems
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|a beamforming
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| 653 |
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|a low computational complexity
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|a amplified thermal noise
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| 653 |
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|a distributed massive MIMO
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|a MSE
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|a dynamic user scheduling
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| 653 |
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|a space division multiple access (SDMA)
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| 653 |
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|a non-coherent detection
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| 653 |
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|a mmWaves
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|a composite right/left-handed transmission line (CRLH-TL)
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|a Bayesian inference
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|a frequency-selective
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|a MIDE algorithm
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| 653 |
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|a analog multi-beam
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| 700 |
1 |
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|a Falcone, Francisco
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| 700 |
1 |
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|a Maruta, Kazuki
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| 700 |
1 |
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|a Falcone, Francisco
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 024 |
8 |
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|a 10.3390/books978-3-03936-017-8
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4 |
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|u https://directory.doabooks.org/handle/20.500.12854/68717
|3 Volltext
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|a Multiple-input, multiple-output (MIMO), which transmits multiple data streams via multiple antenna elements, is one of the most attractive technologies in the wireless communication field. Its extension, called ‘massive MIMO’ or ‘large-scale MIMO’, in which base station has over one hundred of the antenna elements, is now seen as a promising candidate to realize 5G and beyond, as well as 6G mobile communications. It has been the first decade since its fundamental concept emerged. This Special Issue consists of 19 papers and each of them focuses on a popular topic related to massive MIMO systems, e.g. analog/digital hybrid signal processing, antenna fabrication, and machine learning incorporation. These achievements could boost its realization and deepen the academic and industrial knowledge of this field.
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