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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Vydáno v:Proceedings / IEEE International Symposium on Information Theory s. 320 - 324
Hlavní autoři: An Liu, Lau, Vincent
Médium: Konferenční příspěvek Journal Article
Jazyk:angličtina
Vydáno: IEEE 01.07.2016
Témata:
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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Shrnutí: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.
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ISSN:2157-8117
DOI:10.1109/ISIT.2016.7541313