The Space-Air-Ground-Sea integrated network calls for more robust and se...
This paper proposes a grant-free massive access scheme based on the
mill...
This paper focuses on advancing outdoor wireless systems to better suppo...
This paper proposes a novel media access control (MAC) mechanism, called...
The complexity of Machine Learning (ML) systems increases each year, wit...
Over-the-air computation (OAC) is a promising technique to achieve fast ...
Low earth orbit (LEO) satellite constellation-enabled communication netw...
This paper proposes a unified semi-blind detection framework for sourced...
With the blooming of Internet-of-Things (IoT), we are witnessing an expl...
Reconfigurable intelligent surface (RIS) can significantly enhance the
s...
The multi-panel array, as a state-of-the-art antenna-in-package technolo...
Massive connectivity for extra-large multi-input multi-output (XL-MIMO)
...
The fourth industrial revolution, i.e., Industry 4.0, is evolving all ar...
6G wireless networks are foreseen to speed up the convergence of the phy...
With the rapid advancements of deep learning in the past decade, it can ...
In an aerial hybrid massive multiple-input multiple-output (MIMO) and
or...
Integrated sensing and communication (ISAC) has opened up numerous
game-...
This paper investigates the massive connectivity of low Earth orbit (LEO...
Grant-free non-coherent index-modulation (NC-IM) has been recently consi...
Efficient channel state information at transmitter (CSIT) for frequency
...
The flourishing low-Earth orbit (LEO) constellation communication networ...
This paper investigates terahertz ultra-massive (UM)-MIMO-based angle
es...
In this paper, we investigate a multi-user downlink multiple-input
singl...
In this paper, we investigate an unmanned aerial vehicle (UAV)-assisted
...
With the advent of the Internet-of-Things (IoT) era, the ever-increasing...
The rapid development of communication technologies in the past decades ...
This paper proposes a model-driven deep learning (MDDL)-based channel
es...
The massive machine-type communications (mMTC) paradigm based on media
m...
The emerging space-air-ground integrated network has attracted intensive...
Massive machine-type communications (mMTC) are poised to provide ubiquit...
We propose a holographic version of a reconfigurable intelligent surface...
This paper studies massive access in cell-free massive multi-input
multi...
We construct high order low-bit Sigma-Delta (ΣΔ) quantizers for
the vect...
Integrating large intelligent reflecting surfaces (IRS) into millimeter-...
A fundamental challenge of the large-scale Internet-of-Things lies in ho...
With the fast evolvement of embedded deep-learning computing systems,
ap...
In this paper, we propose a data-driven deep learning (DL) approach to
j...
This paper considers the support of grant-free massive access and solves...
This paper investigates the broadband channel estimation (CE) for intell...
Reconfigurable intelligent surface (RIS) is considered to be an
energy-e...
Channel estimation (CE) for millimeter-wave (mmWave) lens-array suffers ...
Multiple classifier system (MCS) has become a successful alternative for...
This paper considers massive access in massive multiple-input multiple-o...
Hybrid analog-digital precoding is challenging for broadband millimeter-...
This paper proposes a closed-loop sparse channel estimation (CE) scheme ...
The integration of non-orthogonal multiple access in millimeter-Wave
com...
In future wireless networks, one fundamental challenge for massive
machi...
Hybrid precoding design can be challenging for broadband millimeter-wave...
Millimeter-wave (mmWave) communication is considered as an indispensable...
Hybrid precoding design is challenging for millimeter-wave (mmWave) mass...