On the road to 6G: Visions, requirements, key technologies, and testbeds
Fifth generation (5G) mobile communication systems have entered the stage of commercial
deployment, providing users with new services, improved user experiences as well as a host …
deployment, providing users with new services, improved user experiences as well as a host …
Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …
computer vision, natural language processing, and speech recognition by its strong …
6g-enabled smart agriculture: A review and prospect
As human society develops, the population is growing explosively and water and land
resources are gradually being exhausted due to pollution. Smart agriculture is regarded as …
resources are gradually being exhausted due to pollution. Smart agriculture is regarded as …
Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems
The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
Data-driven deep learning based hybrid beamforming for aerial massive MIMO-OFDM systems with implicit CSI
In an aerial hybrid massive multiple-input multiple-output (MIMO) and orthogonal frequency
division multiplexing (OFDM) system, how to design a spectral-efficient broadband multi …
division multiplexing (OFDM) system, how to design a spectral-efficient broadband multi …
[HTML][HTML] AI-enabled intelligent visible light communications: Challenges, progress, and future
Photonics | Free Full-Text | AI-Enabled Intelligent Visible Light Communications: Challenges,
Progress, and Future Next Article in Journal Performance Enhancement of DWDM Optical Fiber …
Progress, and Future Next Article in Journal Performance Enhancement of DWDM Optical Fiber …
Deep regularized waveform learning for beam prediction with limited samples in non-cooperative mmWave systems
Millimeter wave (mmWave) systems need beam management to establish and maintain
reliable links. This complex and time-consuming process seriously affects communication …
reliable links. This complex and time-consuming process seriously affects communication …
Artificial intelligence for channel estimation in multicarrier systems for B5G/6G communications: a survey
EC Vilas Boas, JDS e Silva, FAP de Figueiredo… - EURASIP Journal on …, 2022 - Springer
Multicarrier modulation allows for deploying wideband systems resilient to multipath fading
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …
Deep learning OFDM receivers for improved power efficiency and coverage
In this article, we propose multiple machine learning (ML) based physical-layer receiver
solutions for demodulating orthogonal frequency-division multiplexing (OFDM) signals that …
solutions for demodulating orthogonal frequency-division multiplexing (OFDM) signals that …
Machine learning for MU-MIMO receive processing in OFDM systems
Machine learning (ML) starts to be widely used to enhance the performance of multi-user
multiple-input multiple-output (MU-MIMO) receivers. However, it is still unclear if such …
multiple-input multiple-output (MU-MIMO) receivers. However, it is still unclear if such …