Machine learning approaches for reconfigurable intelligent surfaces: A survey
Next-generation wireless networks must handle a growing density of mobile users while
accommodating a rapid increase in mobile data traffic flow and a wide variety of services …
accommodating a rapid increase in mobile data traffic flow and a wide variety of services …
Deep Learning-Based Cross-Layer Power Allocation for Downlink Cell-Free Massive Multiple-Input–Multiple-Output Video Communication Systems
WY Lin, TH Chang, SM Tseng - Symmetry, 2023 - mdpi.com
We propose a deep learning-based cross-layer power allocation method for asymmetric cell-
free massive MIMO video communication systems. The proposed cross-layer approach …
free massive MIMO video communication systems. The proposed cross-layer approach …
Machine learning-based reconfigurable intelligent surface-aided MIMO systems
Reconfigurable intelligent surface (RIS) technology has recently emerged as a spectral-and
cost-efficient approach for wireless communications systems. However, existing hand …
cost-efficient approach for wireless communications systems. However, existing hand …
Deep learning for estimation and pilot signal design in few-bit massive MIMO systems
LV Nguyen, DHN Nguyen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Estimation in few-bit MIMO systems is challenging, since the received signals are
nonlinearly distorted by the low-resolution ADCs. In this paper, we propose a deep learning …
nonlinearly distorted by the low-resolution ADCs. In this paper, we propose a deep learning …
Simple design of maximum likelihood demodulation in receiver with few-bit ADCs for amplitude-modulated signals
A Tatematsu, H Hatano, K Sanada… - … on Circuits and …, 2022 - ieeexplore.ieee.org
An analog-to-digital converter (ADC) with a simple structure but low resolution (few-bits or
even one-bit) is emerging to reduce circuit cost and energy consumption, in addition to …
even one-bit) is emerging to reduce circuit cost and energy consumption, in addition to …
Regularized Neural Detection for One-Bit Massive MIMO Communication Systems
A Sant, BD Rao - arXiv preprint arXiv:2305.15543, 2023 - arxiv.org
Detection for one-bit massive MIMO systems presents several challenges especially for
higher order constellations. Recent advances in both model-based analysis and deep …
higher order constellations. Recent advances in both model-based analysis and deep …
Towards Model-based Synergistic Learning for Robust Next-Generation MIMO Systems
A Sant - 2024 - search.proquest.com
As the demand for high-speed, reliable wireless communication among interconnected
devices rises, the need for robust next-generation wireless MIMO systems becomes crucial …
devices rises, the need for robust next-generation wireless MIMO systems becomes crucial …
On the Achievable Rate of TeraHertz Backhaul Systems with Low-Resolution ADCs using Neural Networks
SM Aghajanzadeh, M Jian - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
TeraHertz (THz) communication, with its ultra-high bandwidth, is considered as a promising
technology for the next generation wireless communication systems. To reduce the …
technology for the next generation wireless communication systems. To reduce the …
[图书][B] Channel estimation and data detection methods for 1-bit massive mimo systems
DKW Ho - 2022 - search.proquest.com
Massive multiple-input multiple-output (MIMO) is a promising technology for next generation
communication systems. In massive MIMO, a base station (BS) is equipped with a large …
communication systems. In massive MIMO, a base station (BS) is equipped with a large …
A study on machine learning-based approaches for reconfigurable intelligent surface
Next-generation wireless communication needs to support an increase in mobile users, the
rapid expansion of cellular data traffic, and various applications. For this next-generation …
rapid expansion of cellular data traffic, and various applications. For this next-generation …