Sum capacity of massive MIMO systems with quantized hybrid beamforming

Recently, hybrid beamforming, which consists of an analog RF precoder and a digital baseband precoder, has been proposed for massive MIMO systems to reduce the number of RF chains and power consumption at the base station (BS). This paper studies the impact of channel state information (CSI) on the...

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Vydané v:Proceedings / IEEE International Symposium on Information Theory s. 320 - 324
Hlavní autori: An Liu, Lau, Vincent
Médium: Konferenčný príspevok.. Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 01.07.2016
Predmet:
Array signal processing
Asymptotic Analysis
Asymptotic properties
Baseband
Beamforming
Channels
Gain
Hybrid systems
Information theory
Massive MIMO
MIMO
MIMO (control systems)
Precoding
Quantized Hybrid Beamforming
Radio frequency
Real-time systems
Signal to noise ratio
Statistics
Sum Capacity
ISSN:2157-8117
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Abstract Recently, hybrid beamforming, which consists of an analog RF precoder and a digital baseband precoder, has been proposed for massive MIMO systems to reduce the number of RF chains and power consumption at the base station (BS). This paper studies the impact of channel state information (CSI) on the sum capacity of massive MIMO systems with quantized hybrid beamforming where the RF precoder is selected from a finite size codebook. Two types of CSI at the BS (CSIT) are assumed: full instantaneous CSIT (full channel matrix between the BS and users) and hybrid CSIT (channel statistics plus the low dimensional effective channel matrix after RF precoding). We derive asymptotic sum capacity expressions under these two types of CSIT. We find that, in most cases, exploiting the full instantaneous CSIT can only achieve a marginal SNR gain and hybrid CSIT is sufficient to achieve the first order gain provided by massive MIMO.
AbstractList Recently, hybrid beamforming, which consists of an analog RF precoder and a digital baseband precoder, has been proposed for massive MIMO systems to reduce the number of RF chains and power consumption at the base station (BS). This paper studies the impact of channel state information (CSI) on the sum capacity of massive MIMO systems with quantized hybrid beamforming where the RF precoder is selected from a finite size codebook. Two types of CSI at the BS (CSIT) are assumed: full instantaneous CSIT (full channel matrix between the BS and users) and hybrid CSIT (channel statistics plus the low dimensional effective channel matrix after RF precoding). We derive asymptotic sum capacity expressions under these two types of CSIT. We find that, in most cases, exploiting the full instantaneous CSIT can only achieve a marginal SNR gain and hybrid CSIT is sufficient to achieve the first order gain provided by massive MIMO.
Author Lau, Vincent
An Liu
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  organization: Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
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Snippet Recently, hybrid beamforming, which consists of an analog RF precoder and a digital baseband precoder, has been proposed for massive MIMO systems to reduce the...
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SubjectTerms Array signal processing
Asymptotic Analysis
Asymptotic properties
Baseband
Beamforming
Channels
Gain
Hybrid systems
Information theory
Massive MIMO
MIMO
MIMO (control systems)
Precoding
Quantized Hybrid Beamforming
Radio frequency
Real-time systems
Signal to noise ratio
Statistics
Sum Capacity
Title Sum capacity of massive MIMO systems with quantized hybrid beamforming
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