JOPCNN-based hybrid precoding/combining algorithm for millimeter wave communication systems

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2025-03-31 DOI:10.1016/j.phycom.2025.102674

Fulai Liu , Hong Cao , Yuchen Wu , Baozhu Shi , Ruiyan Du

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引用次数: 0

Abstract

To enhance the wideband hybrid precoding/combining (HPC) performance, this paper presents an antenna selection-based joint optimization HPC algorithm, namely JOPCNN. In the proposed algorithm, a JOPCNN framework is constructed to obtain the optimal analog precoder and combiner. Specially, the JOPCNN includes antenna selection convolutional neural network(ASCNN) and hybrid precoding/combining convolutional neural network (HPCCNN) subnetworks. Firstly, to improve spectral efficiency(SE) while reducing hardware cost and complexity of the system, the purpose of the ASCNN is to get the best antenna arrays. Subsequently, by employing the analog phase matrix as a label, the HPCCNN subnetwork is able to output the best analog precoder and combiner while adhering to the constant modulus restriction. Meanwhile, in order to better extract the amplitude, phase, and carrier-related information of the channel, a 3-dimensional convolutional neural network(3DCNN) is introduced into the proposed JOPCNN model. Finally, the digital coder can be solved by employing the resulting analog coder. Simulation findings indicate that the suggested approach performs better in SE than comparable algorithms.

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来源期刊

Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS

CiteScore

5.00

自引率

9.10%

发文量

212

审稿时长

55 days

期刊介绍： PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.