A Hybrid Precoding Design Based on Alternate Minimization

In order to address the high power consumption issue caused by a large number of phase shifters in millimeter-wave Multiple Input Multiple Output (MIMO) systems, we propose a hybrid precoder design algorithm based on alternating minimization. This algorithm treats the non-convex design problem of th...

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Veröffentlicht in:2023 3rd International Conference on Intelligent Communications and Computing (ICC) S. 207 - 212
Hauptverfasser: Yang, Shuo, Dou, Zheng
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 24.11.2023
Schlagworte:
Alternate minimization
component
Computer architecture
Hybrid power systems
Hybrid precoder design
Manifold optimization insert
Minimization
Multi-input multi-output system
Optimization
Phase shifters
Precoding
Spectral efficiency
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Zusammenfassung:In order to address the high power consumption issue caused by a large number of phase shifters in millimeter-wave Multiple Input Multiple Output (MIMO) systems, we propose a hybrid precoder design algorithm based on alternating minimization. This algorithm treats the non-convex design problem of the hybrid precoder as a matrix factorization problem and adopts two different approaches based on distinct matrix properties. For the optimization of the phase matrix in the analog precoder, it is transformed into a subproblem of the number of radio frequency (RF) chains. A novel algorithm based on Riemannian manifold optimization is proposed by temporarily relaxing the hardware constraints on phase shifters. Regarding the optimization of the switch matrix and digital precoder in the analog precoder, the unitary properties of the phase matrix and digital precoder are leveraged to transform the minimization of the Euclidean distance problem for hybrid precoder design into an upper-bound problem, significantly reducing the algorithm's complexity. Additionally, unlike existing fixed phase shifter architectures, the algorithm considers a variable phase shifter architecture, where the phase is variable and subject to hardware constraints, allowing optimization of the phase based on channel state information. Simulation results demonstrate that the algorithm outperforms existing typical precoding algorithms in terms of energy efficiency and spectral efficiency. Moreover, the algorithm exhibits lower complexity compared to algorithms with the same architecture and is more suitable for large-scale antenna systems.
DOI:10.1109/ICC59986.2023.10421041