Resource allocation for ultra-dense networks: A survey, some research issues and challenges
Driven by the explosive data traffic and new quality of service requirement of mobile users,
the communication industry has been experiencing a new evolution by means of network …
the communication industry has been experiencing a new evolution by means of network …
Enabling multi-functional 5G and beyond user equipment: A survey and tutorial
The fifth generation (5G) research and development has been fueled by many new
breakthroughs in various areas. The recent progress in carrier aggregation (CA), licensed …
breakthroughs in various areas. The recent progress in carrier aggregation (CA), licensed …
Survey on 6G frontiers: Trends, applications, requirements, technologies and future research
Emerging applications such as Internet of Everything, Holographic Telepresence,
collaborative robots, and space and deep-sea tourism are already highlighting the …
collaborative robots, and space and deep-sea tourism are already highlighting the …
Deep denoising neural network assisted compressive channel estimation for mmWave intelligent reflecting surfaces
Integrating large intelligent reflecting surfaces (IRS) into millimeter-wave (mmWave) massive
multi-input-multi-ouput (MIMO) has been a promising approach for improved coverage and …
multi-input-multi-ouput (MIMO) has been a promising approach for improved coverage and …
Compressive sensing-based adaptive active user detection and channel estimation: Massive access meets massive MIMO
This paper considers massive access in massive multiple-input multiple-output (MIMO)
systems and proposes an adaptive active user detection and channel estimation scheme …
systems and proposes an adaptive active user detection and channel estimation scheme …
Convolutional neural network-based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis
Massive multiple-input multiple-output (MIMO) is a promising technology to increase link
capacity and energy efficiency. However, these benefits are based on available channel …
capacity and energy efficiency. However, these benefits are based on available channel …
A survey of intelligent reflecting surfaces (IRSs): Towards 6G wireless communication networks
J Zhao - arxiv preprint arxiv:1907.04789, 2019 - arxiv.org
Intelligent reflecting surfaces (IRSs) tune wireless environments to increase spectrum and
energy efficiencies. In view of much recent attention to the IRS concept as a promising …
energy efficiencies. In view of much recent attention to the IRS concept as a promising …
Model-driven deep learning based channel estimation and feedback for millimeter-wave massive hybrid MIMO systems
This paper proposes a model-driven deep learning (MDDL)-based channel estimation and
feedback scheme for wideband millimeter-wave (mmWave) massive hybrid multiple-input …
feedback scheme for wideband millimeter-wave (mmWave) massive hybrid multiple-input …
Semantic communications for wireless sensing: RIS-aided encoding and self-supervised decoding
Semantic communications can reduce the resource consumption by transmitting task-related
semantic information extracted from source messages. However, when the source …
semantic information extracted from source messages. However, when the source …
Integrated sensing and communication with mmWave massive MIMO: A compressed sampling perspective
Integrated sensing and communication (ISAC) has opened up numerous game-changing
opportunities for realizing future wireless systems. In this paper, we propose an ISAC …
opportunities for realizing future wireless systems. In this paper, we propose an ISAC …