In this paper, we develop a new method to automatically convert 2D line
...
To address the limitations of traditional over-the-air federated learnin...
This paper investigates the problem of activity detection and channel
es...
The rapid development of unmanned aerial vehicle (UAV) technology provid...
Grant-free random access is promising for massive connectivity with spor...
Autoencoding has achieved great empirical success as a framework for lea...
This paper investigates the potential of reconfigurable intelligent surf...
This paper studies the temporally-correlated massive access system where...
In this paper, we consider a reconfigurable intelligence surface (RIS) a...
Federated learning (FL) is an emerging machine learning paradigm that al...
To achieve communication-efficient federated multitask learning (FMTL), ...
In this letter, we extend the sparse Kronecker-product (SKP) coding sche...
In next-generation wireless networks, reconfigurable intelligent surface...
This paper proposes a generalised propulsion energy consumption model (P...
With the explosive growth of data and wireless devices, federated learni...
This work proposes a new computational framework for learning an explici...
In this paper, we build up a new intelligent reflecting surface (IRS) ai...
Federated edge learning (FEEL) has emerged as a revolutionary paradigm t...
In this letter, we propose a multi-task over-theair federated learning
(...
In this paper, we consider a reconfigurable intelligent surface
(RIS)-as...
We present a one-stage Fully Convolutional Line Parsing network (F-Clip)...
Single-image room layout reconstruction aims to reconstruct the enclosed...
In this paper, we study how to efficiently and reliably detect active de...
In this paper, a sparse Kronecker-product (SKP) coding scheme is propose...
In this paper, we investigate over-the-air model aggregation in a federa...
We study over-the-air model aggregation in federated edge learning (FEEL...
Reconfigurable intelligent surface (RIS) is envisioned to be a promising...
This letter considers a multiple-input single-output (MISO) downlink
com...
With the rapid development of Internet of Things (IoT), massive machine-...
This paper considers the massive connectivity problem in an asynchronous...
In this paper, we consider the compressed video background subtraction
p...
To exploit massive amounts of data generated at mobile edge networks,
fe...
To address the coverage and capacity challenges in fifth-generation (5G)...
In this letter, the joint power control of D2D users and the passive
bea...
The performance of a device-to-device (D2D) underlay communication syste...
In this paper, we study the beamforming design problem in frequency-divi...
Although the commercialization of fifth-generation (5G) mobile networks ...
This paper investigates the passive beamforming and information transfer...
This paper investigates the passive beamforming and information transfer...
Reconfigurable intelligent surface (RIS) is envisioned to be an essentia...
In this paper, we study joint antenna activity detection, channel estima...
We propose a compressed sensing algorithm termed variance state propagat...
Thanks to the line-of-sight (LoS) transmission and flexibility, unmanned...
This letter proposes a new full-duplex (FD) secrecy communication scheme...
In this paper, we consider the problem of channel estimation for large
i...
Large intelligent surface (LIS) has emerged as a promising new solution ...
This paper considers the transceiver design for uplink massive multiple ...
Compressed sensing has been employed to reduce the pilot overhead for ch...
In this paper, we study blind channel-and-signal estimation by exploitin...
Banded linear systems arise in many communication scenarios, e.g., those...