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Joint Bit Allocation and Hybrid Beamforming Optimization for Energy\n Efficient Millimeter Wave MIMO Systems

2019/10/01 by Aryan Kaushik, Evangelos Vlachos, Kaushik, Aryan +7
Engineering · #FOS: Electrical engineering #Microwave Engineering and Waveguides #Millimeter-Wave Propagation and Modeling #Radio Frequency Integrated Circuit Design #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.1910.01479

openalex publication_date 2019/10/01 · openalex created_date 2022/07/24 · openalex updated_date 2026/07/28

Abstract

In this paper, we aim to design highly energy efficient end-to-end\ncommunication for millimeter wave multiple-input multiple-output systems. This\nis done by jointly optimizing the digital-to-analog converter\n(DAC)/analog-to-digital converter (ADC) bit resolutions and hybrid beamforming\nmatrices. The novel decomposition of the hybrid precoder and the hybrid\ncombiner to three parts is introduced at the transmitter (TX) and the receiver\n(RX), respectively, representing the analog precoder/combiner matrix, the\nDAC/ADC bit resolution matrix and the baseband precoder/combiner matrix. The\nunknown matrices are computed as a solution to the matrix factorization problem\nwhere the optimal fully digital precoder or combiner is approximated by the\nproduct of these matrices. A novel and efficient solution based on the\nalternating direction method of multipliers is proposed to solve these problems\nat both the TX and the RX. The simulation results show that the proposed\nsolution, where the DAC/ADC bit allocation is dynamic during operation,\nachieves higher energy efficiency when compared with existing benchmark\ntechniques that use fixed DAC/ADC bit resolutions.\n

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