Hybrid Analog and Digital Precoding Design for Minimum BER in Massive MIMO System

Hybrid analog and digital precoding technology has been widely investigated recently in massive multiple-input multiple-output (mMIMO) systems as low-complexity and low-cost alternatives to fully digital precoding. Most existing hybrid precoding studies aim to improve the system's performance i...

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Veröffentlicht in:IEEE transactions on vehicular technology Jg. 73; H. 7; S. 10060 - 10074
Hauptverfasser: Li, Junjie, Zhao, Lei, Jiang, Yuan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.07.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Alternative energy sources
BER minimization
Complexity
Constraints
coordinate descent
Design optimization
Error analysis
hybrid analog and digital precoding
Hybrid systems
Lower bounds
manifold optimization
Massive MIMO
Minimization
Optimization
Phase shifters
Precoding
Radio frequency
Signal to noise ratio
Streams
ISSN:0018-9545, 1939-9359
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Abstract Hybrid analog and digital precoding technology has been widely investigated recently in massive multiple-input multiple-output (mMIMO) systems as low-complexity and low-cost alternatives to fully digital precoding. Most existing hybrid precoding studies aim to improve the system's performance in terms of spectral efficiency (SE), energy efficiency (EE), or mean square error (MSE), which may have limited BER performance. To improve the system's transmission reliability, this paper investigates the design of the hybrid precoding/combining for minimum BER in the single-user mMIMO system. First, we formulate an average BER minimization optimization problem, subject to the maximum transmit power constraint and the constant modulus constraints for the phase shifters. Further, we equivalently transform the BER minimization problem into a constrained MMSE problem to make it tractable and consequently derive the closed-form digital precoder that can achieve the derived lower bound of the average BER. Finally, we propose an alternating optimization procedure (AOP) to jointly design the analog precoder and combiner, where a high-performance manifold optimization (MO)-based algorithm and a low-complexity coordinate descent (CD)-based algorithm are presented to overcome the difficulty incurred by the constant modulus constraints. Simulation results demonstrate that the proposed minimum BER hybrid precoding significantly outperforms the existing hybrid precoding in terms of BER and achieves the same level as the benchmark schemes in terms of SE.
AbstractList Hybrid analog and digital precoding technology has been widely investigated recently in massive multiple-input multiple-output (mMIMO) systems as low-complexity and low-cost alternatives to fully digital precoding. Most existing hybrid precoding studies aim to improve the system's performance in terms of spectral efficiency (SE), energy efficiency (EE), or mean square error (MSE), which may have limited BER performance. To improve the system's transmission reliability, this paper investigates the design of the hybrid precoding/combining for minimum BER in the single-user mMIMO system. First, we formulate an average BER minimization optimization problem, subject to the maximum transmit power constraint and the constant modulus constraints for the phase shifters. Further, we equivalently transform the BER minimization problem into a constrained MMSE problem to make it tractable and consequently derive the closed-form digital precoder that can achieve the derived lower bound of the average BER. Finally, we propose an alternating optimization procedure (AOP) to jointly design the analog precoder and combiner, where a high-performance manifold optimization (MO)-based algorithm and a low-complexity coordinate descent (CD)-based algorithm are presented to overcome the difficulty incurred by the constant modulus constraints. Simulation results demonstrate that the proposed minimum BER hybrid precoding significantly outperforms the existing hybrid precoding in terms of BER and achieves the same level as the benchmark schemes in terms of SE.
Author Li, Junjie
Jiang, Yuan
Zhao, Lei
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SubjectTerms Algorithms
Alternative energy sources
BER minimization
Complexity
Constraints
coordinate descent
Design optimization
Error analysis
hybrid analog and digital precoding
Hybrid systems
Lower bounds
manifold optimization
Massive MIMO
Minimization
Optimization
Phase shifters
Precoding
Radio frequency
Signal to noise ratio
Streams
Title Hybrid Analog and Digital Precoding Design for Minimum BER in Massive MIMO System
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https://www.proquest.com/docview/3084059792
Volume 73
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