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B-spline neural network assisted space-time equalization for single-carrier multiuser nonlinear frequency-selective MIMO uplink

B-spline neural network assisted space-time equalization for single-carrier multiuser nonlinear frequency-selective MIMO uplink
B-spline neural network assisted space-time equalization for single-carrier multiuser nonlinear frequency-selective MIMO uplink
This paper designs a nonlinear space-time equalizer based on B-spline neural network (BSNN) for the single-carrier high-throughput multiuser frequency-selective multiple-input multiple-output (MIMO) nonlinear uplink. Specifically, based on a BSNN parametrization of the nonlinear high power amplifiers (NHPAs) at mobile terminals' transmitters, a novel nonlinear identification scheme is developed to estimate the nonlinear dispersive MIMO uplink channel, which includes the BSNN models for the NHPAs at transmitters as well as the frequency-selective MIMO channel impulse response (CIR) matrix. Furthermore, the BSNN inverse models of the NHPAs are also estimated in closed-form. This allows the base station to implement nonlinear multiuser detection effectively using the space-time equalization (STE) based on the estimated frequency-selective MIMO CIR matrix and followed by compensating for the nonlinear distortion of the transmitters' NHPAs based on the estimated BSNN inverse models. Simulation results are utilized to demonstrate the superior bit error rate performance of our nonlinear STE approach for single-carrier high-throughput multiuser nonlinear frequency-selective MIMO uplink.
1109-2742
155-169
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Chen, Sheng (2022) B-spline neural network assisted space-time equalization for single-carrier multiuser nonlinear frequency-selective MIMO uplink. WSEAS Transactions on Communications, 21, 155-169.

Record type: Article

Abstract

This paper designs a nonlinear space-time equalizer based on B-spline neural network (BSNN) for the single-carrier high-throughput multiuser frequency-selective multiple-input multiple-output (MIMO) nonlinear uplink. Specifically, based on a BSNN parametrization of the nonlinear high power amplifiers (NHPAs) at mobile terminals' transmitters, a novel nonlinear identification scheme is developed to estimate the nonlinear dispersive MIMO uplink channel, which includes the BSNN models for the NHPAs at transmitters as well as the frequency-selective MIMO channel impulse response (CIR) matrix. Furthermore, the BSNN inverse models of the NHPAs are also estimated in closed-form. This allows the base station to implement nonlinear multiuser detection effectively using the space-time equalization (STE) based on the estimated frequency-selective MIMO CIR matrix and followed by compensating for the nonlinear distortion of the transmitters' NHPAs based on the estimated BSNN inverse models. Simulation results are utilized to demonstrate the superior bit error rate performance of our nonlinear STE approach for single-carrier high-throughput multiuser nonlinear frequency-selective MIMO uplink.

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Published date: 3 June 2022

Identifiers

Local EPrints ID: 458096
URI: http://eprints.soton.ac.uk/id/eprint/458096
ISSN: 1109-2742
PURE UUID: 31c8095b-a326-4763-b7c8-aa1ea4900348

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Date deposited: 28 Jun 2022 16:58
Last modified: 03 Aug 2022 16:30

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Contributors

Author: Sheng Chen

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