IEICE TRANSACTIONS on Communications
Uplink Performance Analysis of MU-MIMO ZF Receiver Over Correlated Rayleigh Fading Channel with Imperfect CSI
Summary :
In this paper, the uplink performance of Multi-User Multiple Input Multiple Output (MU-MIMO) Zero Forcing (ZF) receiver is investigated over correlated Rayleigh fading channels with channel estimation error. A mathematical expression for the sub-streams' output Signal to Noise Ratio (SNR) with transmit and receive-correlation is derived in the presence of erroneous channel estimates. Besides, an approximate and accurate expression for the Bit Error Rate (BER) of ZF receiver for 16-Quadrature Amplitude Modulation (QAM) with transmit-correlation is deduced in terms of the hypergeometric function. Subsequently, the developed analytical BER is verified by Monte-Carlo trails accounting various system parameters. The simulation results indicate that ZF receiver's BER relies solely on the transmit-correlation for the same number of transmit and receive-antennas at higher average SNR values per transmitted symbol (Es/N0). Also, a logarithmic and exponential growth in the BER is observed with an increase in the Mean Square estimation Error (MSE) and correlation coefficient, respectively.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E104-B No.10 pp.1328-1335
- Publication Date
- 2021/10/01
- Publicized
- 2021/04/21
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2020EBP3161
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Supraja EDURU
Pondicherry University
Nakkeeran RANGASWAMY
Pondicherry University
Keyword
Latest Issue
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Supraja EDURU, Nakkeeran RANGASWAMY, "Uplink Performance Analysis of MU-MIMO ZF Receiver Over Correlated Rayleigh Fading Channel with Imperfect CSI" in IEICE TRANSACTIONS on Communications,
vol. E104-B, no. 10, pp. 1328-1335, October 2021, doi: 10.1587/transcom.2020EBP3161.
Abstract: In this paper, the uplink performance of Multi-User Multiple Input Multiple Output (MU-MIMO) Zero Forcing (ZF) receiver is investigated over correlated Rayleigh fading channels with channel estimation error. A mathematical expression for the sub-streams' output Signal to Noise Ratio (SNR) with transmit and receive-correlation is derived in the presence of erroneous channel estimates. Besides, an approximate and accurate expression for the Bit Error Rate (BER) of ZF receiver for 16-Quadrature Amplitude Modulation (QAM) with transmit-correlation is deduced in terms of the hypergeometric function. Subsequently, the developed analytical BER is verified by Monte-Carlo trails accounting various system parameters. The simulation results indicate that ZF receiver's BER relies solely on the transmit-correlation for the same number of transmit and receive-antennas at higher average SNR values per transmitted symbol (Es/N0). Also, a logarithmic and exponential growth in the BER is observed with an increase in the Mean Square estimation Error (MSE) and correlation coefficient, respectively.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020EBP3161/_p
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@ARTICLE{e104-b_10_1328,
author={Supraja EDURU, Nakkeeran RANGASWAMY, },
journal={IEICE TRANSACTIONS on Communications},
title={Uplink Performance Analysis of MU-MIMO ZF Receiver Over Correlated Rayleigh Fading Channel with Imperfect CSI},
year={2021},
volume={E104-B},
number={10},
pages={1328-1335},
abstract={In this paper, the uplink performance of Multi-User Multiple Input Multiple Output (MU-MIMO) Zero Forcing (ZF) receiver is investigated over correlated Rayleigh fading channels with channel estimation error. A mathematical expression for the sub-streams' output Signal to Noise Ratio (SNR) with transmit and receive-correlation is derived in the presence of erroneous channel estimates. Besides, an approximate and accurate expression for the Bit Error Rate (BER) of ZF receiver for 16-Quadrature Amplitude Modulation (QAM) with transmit-correlation is deduced in terms of the hypergeometric function. Subsequently, the developed analytical BER is verified by Monte-Carlo trails accounting various system parameters. The simulation results indicate that ZF receiver's BER relies solely on the transmit-correlation for the same number of transmit and receive-antennas at higher average SNR values per transmitted symbol (Es/N0). Also, a logarithmic and exponential growth in the BER is observed with an increase in the Mean Square estimation Error (MSE) and correlation coefficient, respectively.},
keywords={},
doi={10.1587/transcom.2020EBP3161},
ISSN={1745-1345},
month={October},}
Copy
TY - JOUR
TI - Uplink Performance Analysis of MU-MIMO ZF Receiver Over Correlated Rayleigh Fading Channel with Imperfect CSI
T2 - IEICE TRANSACTIONS on Communications
SP - 1328
EP - 1335
AU - Supraja EDURU
AU - Nakkeeran RANGASWAMY
PY - 2021
DO - 10.1587/transcom.2020EBP3161
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2021
AB - In this paper, the uplink performance of Multi-User Multiple Input Multiple Output (MU-MIMO) Zero Forcing (ZF) receiver is investigated over correlated Rayleigh fading channels with channel estimation error. A mathematical expression for the sub-streams' output Signal to Noise Ratio (SNR) with transmit and receive-correlation is derived in the presence of erroneous channel estimates. Besides, an approximate and accurate expression for the Bit Error Rate (BER) of ZF receiver for 16-Quadrature Amplitude Modulation (QAM) with transmit-correlation is deduced in terms of the hypergeometric function. Subsequently, the developed analytical BER is verified by Monte-Carlo trails accounting various system parameters. The simulation results indicate that ZF receiver's BER relies solely on the transmit-correlation for the same number of transmit and receive-antennas at higher average SNR values per transmitted symbol (Es/N0). Also, a logarithmic and exponential growth in the BER is observed with an increase in the Mean Square estimation Error (MSE) and correlation coefficient, respectively.
ER -
English
