Generative AI in mobile networks: a survey
This paper provides a comprehensive review of recent challenges and results in the field of
generative AI with application to mobile telecommunications networks. The objective is to …
generative AI with application to mobile telecommunications networks. The objective is to …
A Survey of PAPR Techniques Based on Machine Learning
Orthogonal Frequency Division Multiplexing (OFDM) is the modulation technology used in
Fourth Generation (4G) and Fifth Generation (5G) wireless communication systems, and it …
Fourth Generation (4G) and Fifth Generation (5G) wireless communication systems, and it …
Multiuser MIMO wideband joint communications and sensing system with subcarrier allocation
In wideband joint communications and sensing (JCAS) systems, the waveforms are often
designed and optimized over the entire bandwidth. This significantly limits the degrees of …
designed and optimized over the entire bandwidth. This significantly limits the degrees of …
Joint communications and sensing hybrid beamforming design via deep unfolding
Joint communications and sensing (JCAS) is envisioned as a key feature in future wireless
communications networks. In massive MIMO-JCAS systems, hybrid beamforming (HBF) is …
communications networks. In massive MIMO-JCAS systems, hybrid beamforming (HBF) is …
Sensing and Deep CNN-Assisted Semi-Blind Detection for Multi-User Massive MIMO Communications
Attaining precise target detection and channel measurements are critical for guiding
beamforming optimization and data demodulation in massive multiple-input multiple-output …
beamforming optimization and data demodulation in massive multiple-input multiple-output …
AI-empowered hybrid MIMO beamforming
Hybrid multiple-input multiple-output (MIMO) is an attractive technology for realizing extreme
massive MIMO systems envisioned for future wireless communications in a scalable and …
massive MIMO systems envisioned for future wireless communications in a scalable and …
Channel Estimation with Dynamic Metasurface Antennas via Model-Based Learning
Dynamic Metasurface Antenna (DMA) is a cutting-edge antenna technology offering
scalable and sustainable solutions for large antenna arrays. The effectiveness of DMAs …
scalable and sustainable solutions for large antenna arrays. The effectiveness of DMAs …
Artificial Intelligence-Empowered Hybrid Multiple-Input/Multiple-Output Beamforming: Learning to Optimize for High-Throughput Scalable MIMO
Hybrid beamforming for multiple-input/multiple-output (MIMO) communications is an
attractive technology for realizing extremely massive MIMO systems envisioned for future …
attractive technology for realizing extremely massive MIMO systems envisioned for future …
Learning Energy-Efficient Transmitter Configurations for Massive MIMO Beamforming
Hybrid beamforming (HBF) and antenna selection are promising techniques for improving
the energy efficiency (EE) of massive multiple-input multiple-output (mMIMO) systems …
the energy efficiency (EE) of massive multiple-input multiple-output (mMIMO) systems …
Learning Energy-Efficient Hardware Configurations for Massive MIMO Beamforming
Hybrid beamforming (HBF) and antenna selection are promising techniques for improving
the energy efficiency~(EE) of massive multiple-input multiple-output~(mMIMO) systems …
the energy efficiency~(EE) of massive multiple-input multiple-output~(mMIMO) systems …