Optimal Power Allocation and Training Duration for Uplink Multiuser Massive MIMO Systems With MMSE Receivers

This paper investigates the optimal training duration and the optimal power allocation for the training and the data transmission that maximize the ergodic sum rate in single-cell uplink massive MIMO with MMSE receivers. Our channel model assumes that each user experiences the same spatial channel c...

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Main Author: Rusdha Muharar
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8972384/
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spelling doaj-b51e091f73e84b5fae745fe5cbc28af32021-03-30T01:16:05ZengIEEEIEEE Access2169-35362020-01-018233782339010.1109/ACCESS.2020.29701008972384Optimal Power Allocation and Training Duration for Uplink Multiuser Massive MIMO Systems With MMSE ReceiversRusdha Muharar0https://orcid.org/0000-0002-5079-4174Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, IndonesiaThis paper investigates the optimal training duration and the optimal power allocation for the training and the data transmission that maximize the ergodic sum rate in single-cell uplink massive MIMO with MMSE receivers. Our channel model assumes that each user experiences the same spatial channel correlation. The expression for the ergodic sum rate is obtained in the large system regime where the number of antennas (N) at the base station and the number of users (K) tend to infinity with a fixed ratio. Interestingly, we show that the optimal training duration is equal to K and independent of the spatial correlation. We also derive the optimal power allocation that in facts depends on the spatial correlation, the channel coherence interval, and the uplink SNR. We show that more energy should be allocated for the training if the data transmission duration (t<sub>d</sub>) is less than K, and vice versa. Moreover, equal power allocation is optimal when t<sub>d</sub> = K. We also obtain an approximation for the optimal power allocation that depends on the mean of the correlation matrix eigenvalues. Numerical simulations show that our results based on the large system approximation are accurate and applicable for finite-size systems. The simulations also show that (1) the resulting ergodic sum rates obtained by employing the optimal power allocation and its approximation are indistinguishable, and (2) the optimal power allocation obtained from the uncorrelated channel model can be applied to the cases involving the correlated channels with indiscernible penalties on the ergodic sum rates.https://ieeexplore.ieee.org/document/8972384/Massive MIMOMMSE receiversoptimal trainingpower allocationspatial correlation
collection DOAJ
language English
format Article
sources DOAJ
author Rusdha Muharar
spellingShingle Rusdha Muharar
Optimal Power Allocation and Training Duration for Uplink Multiuser Massive MIMO Systems With MMSE Receivers
IEEE Access
Massive MIMO
MMSE receivers
optimal training
power allocation
spatial correlation
author_facet Rusdha Muharar
author_sort Rusdha Muharar
title Optimal Power Allocation and Training Duration for Uplink Multiuser Massive MIMO Systems With MMSE Receivers
title_short Optimal Power Allocation and Training Duration for Uplink Multiuser Massive MIMO Systems With MMSE Receivers
title_full Optimal Power Allocation and Training Duration for Uplink Multiuser Massive MIMO Systems With MMSE Receivers
title_fullStr Optimal Power Allocation and Training Duration for Uplink Multiuser Massive MIMO Systems With MMSE Receivers
title_full_unstemmed Optimal Power Allocation and Training Duration for Uplink Multiuser Massive MIMO Systems With MMSE Receivers
title_sort optimal power allocation and training duration for uplink multiuser massive mimo systems with mmse receivers
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description This paper investigates the optimal training duration and the optimal power allocation for the training and the data transmission that maximize the ergodic sum rate in single-cell uplink massive MIMO with MMSE receivers. Our channel model assumes that each user experiences the same spatial channel correlation. The expression for the ergodic sum rate is obtained in the large system regime where the number of antennas (N) at the base station and the number of users (K) tend to infinity with a fixed ratio. Interestingly, we show that the optimal training duration is equal to K and independent of the spatial correlation. We also derive the optimal power allocation that in facts depends on the spatial correlation, the channel coherence interval, and the uplink SNR. We show that more energy should be allocated for the training if the data transmission duration (t<sub>d</sub>) is less than K, and vice versa. Moreover, equal power allocation is optimal when t<sub>d</sub> = K. We also obtain an approximation for the optimal power allocation that depends on the mean of the correlation matrix eigenvalues. Numerical simulations show that our results based on the large system approximation are accurate and applicable for finite-size systems. The simulations also show that (1) the resulting ergodic sum rates obtained by employing the optimal power allocation and its approximation are indistinguishable, and (2) the optimal power allocation obtained from the uncorrelated channel model can be applied to the cases involving the correlated channels with indiscernible penalties on the ergodic sum rates.
topic Massive MIMO
MMSE receivers
optimal training
power allocation
spatial correlation
url https://ieeexplore.ieee.org/document/8972384/
work_keys_str_mv AT rusdhamuharar optimalpowerallocationandtrainingdurationforuplinkmultiusermassivemimosystemswithmmsereceivers
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