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Multiplexing Gain Analysis of mmWave Massive MIMO Systems With Distributed Antenna Subarrays

This paper investigates a point-to-point millimeter-wave (mmWave) massive MIMO system in which the transmitter and receiver consist of Kt and K, distributed antenna subarrays, respectively. All the subchannel matrices between each pair of subarrays at the transmitter and the receiver are assumed to...

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Published in:IEEE transactions on vehicular technology 2019-11, Vol.68 (11), p.11368-11373
Main Authors: Yue, Dian-Wu, Nguyen, Ha H.
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Language:English
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description This paper investigates a point-to-point millimeter-wave (mmWave) massive MIMO system in which the transmitter and receiver consist of Kt and K, distributed antenna subarrays, respectively. All the subchannel matrices between each pair of subarrays at the transmitter and the receiver are assumed to be mutually independent and known at the transmitter and the receiver. To quantify the potential of spatial multiplexing in such a system, the multiplexing gain is defined and analyzed when the numbers of antennas at subarrays go to infinity while the transmit power is held fixed. In particular, assuming that all subchannels have the same average number of propagation paths L̅, the paper shows that an average maximum multiplexing gain of K r ,K t L̅ can be achieved. This result means that the multiplexing gain under a distributed array architecture can statistically increase in proportion with K r ,K t . The multiplexing gain analysis is also extended to the multiuser scenario. Simulation results obtained with the hybrid analog/digital processing finally corroborate the analytical results.
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subjects Antenna arrays
Antennas
distributed antenna architecture
hybrid precoding
massive MIMO
Millimeter waves
Millimeter-wave communications
MIMO (control systems)
Multiplexing
multiplexing gain
Radio frequency
Receivers & amplifiers
Receiving antennas
Transmitters
Transmitting antennas
title Multiplexing Gain Analysis of mmWave Massive MIMO Systems With Distributed Antenna Subarrays
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