Joint Antenna Selection and Hybrid Beamformer Design Using Unquantized and Quantized Deep Learning Networks
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Dosyalar
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee-Inst Electrical Electronics Engineers Inc
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In millimeter-wave communications, multiple-input-multiple-output (MIMO) systems use large antenna arrays to achieve high gain and spectral efficiency. These massive MIMO systems employ hybrid beamformers to reduce power consumption associated with fully digital beamforming in large arrays. Further savings in cost and power are possible through the use of subarrays. Unlike prior works that resort to large latency methods such as optimization and greedy search for subarray selection, we propose a deep-learning-based approach in order to overcome the complexity issue without causing significant performance loss. We formulate antenna selection and hybrid beamformer design as a classification/prediction problem for convolutional neural networks (CNNs). For antenna selection, the CNN accepts the channel matrix as input and outputs a subarray with optimal spectral efficiency. The resultant subarray channel matrix is then again fed to a CNN to obtain analog and baseband beamformers. We train the CNNs with several noisy channel matrices that have different channel statistics in order to achieve a robust performance at the network output. Numerical experiments show that our CNN framework provides an order better spectral efficiency and is 10 times faster than the conventional techniques. Further investigations with quantized-CNNs show that the proposed network, saved in no more than 5 bits, is also suited for digital mobile devices.
Açıklama
Anahtar Kelimeler
Antenna arrays, Phase shifters, Radio frequency, MIMO communication, Receiving antennas, Optimization, Antenna selection, CNN, deep learning, hybrid beamforming, massive MIMO, Massive Mimo, Channel Estimation, Combiner Design, Phase Shifters, Precoder, Architectures, Tracking, Power
Kaynak
Ieee Transactions On Wireless Communications
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
19
Sayı
3
