Photonics-Assisted Millimeter-Wave Communication System Based on Low-Bit Gaussian Mixture Model Adaptive Vector Quantization
The quantization technique with a low-bit resolution can significantly reduce the cost and power consumption of analog-to-digital converter (ADC). It will play an important role in energy conservation and cost reduction for the incoming B5G millimeter-wave (MMW) communication systems. In this paper,...
Main Authors: | Yuancheng Cai, Linghao Yue, Min Zhu, Mingzheng Lei, Jiao Zhang, Bingchang Hua, Wei Luo, Yucong Zou, Liang Tian, Like Ma, Jianjun Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Photonics Journal |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9903542/ |
Similar Items
-
Gaussian Multiple Access Channels with One-Bit Quantizer at the Receiver †,‡
by: Borzoo Rassouli, et al.
Published: (2018-09-01) -
On the Capacity-Achieving Scheme and Capacity of 1-Bit ADC Gaussian-Mixture Channels
by: Md Rahman, et al.
Published: (2020-01-01) -
Neuron-by-Neuron Quantization for Efficient Low-Bit QNN Training
by: Artem Sher, et al.
Published: (2023-04-01) -
Joint high-dimensional soft bit estimation and quantization using deep learning
by: Marius Arvinte, et al.
Published: (2022-06-01) -
Latitude-Adaptive Integer Bit Allocation for Quantization of Omnidirectional Images
by: Qian Sima, et al.
Published: (2024-02-01)