This work studies the meta distribution (MD) in a two-user partial
non-o...
We propose a variational inference (VI)-based channel state information ...
Most research studies on deep learning (DL) applied to the physical laye...
Large language models (LLMs) have triggered tremendous success to empowe...
In cellular networks, User Equipment (UE) handoff from one Base Station ...
Data-driven machine learning (ML) is promoted as one potential technolog...
Adversarial attacks and defenses in machine learning and deep neural net...
We aim to secure a large-scale device-to-device (D2D) network against
ad...
Metaverse is an evolving orchestrator of the next-generation Internet
ar...
Computing is a critical driving force in the development of human
civili...
With the proliferation of deep learning techniques for wireless
communic...
The ongoing amalgamation of UAV and ML techniques is creating a signific...
Delivering wireless ultrahigh-speed access at wider coverage is becoming...
We exploit both covert communication and friendly jamming to propose a
f...
Passive beamforming in reconfigurable intelligent surfaces (RISs) enable...
Recently, significant research efforts have been initiated to enable the...
Future wireless services must be focused on improving the quality of lif...
As one of the most promising applications in future Internet of Things,
...
This paper introduces a novel approach of utilizing the reconfigurable
i...
In this article, we first present the vision, key performance indicators...
Using stochastic geometry tools, we develop a comprehensive framework to...
We consider an Intelligent Reflecting Surface (IRS)-aided multiple-input...
Multi-Agent Reinforcement Learning (MARL) is a challenging subarea of
Re...
Code-expanded Random Access (CeRA) is a promising technique for supporti...
Robotic applications nowadays are widely adopted to enhance operational
...
In a cell-free wireless network, distributed access points (APs) jointly...
The performance of wireless networks is fundamentally limited by the
agg...
Non-orthogonal multiple access (NOMA) allows users sharing a resource-bl...
With growth in the number of smart devices and advancements in their
har...
Deep Reinforcement Learning (DRL) has recently witnessed significant adv...
The Internet of Things (IoT) will be ripe for the deployment of novel ma...
We study the resource sharing problem in a drone-based wireless network....
With the rapid advancement in vehicular communications and intelligent
t...
The emergence of new wireless technologies together with the requirement...
In the context of Multi-access Edge Computing (MEC), the task sharing
me...
This paper presents a theoretical framework to analyze the performance o...
To improve capacity and overcome some of the limitations of cellular wir...
We propose a multiple-input multiple-output (MIMO)-based full-duplex (FD...
We put forward a new algorithmic solution to the massive unsourced rando...
In future cell-free (or cell-less) wireless networks, a large number of
...
Impact of mobility will be increasingly important in future generation
w...
The probability density function (pdf) of the received signal of an ambi...
With growing security threats to the evolving wireless systems, protecti...
Internet-of-Things (IoT) refers to a massively heterogeneous network for...
The problem of joint power and sub-channel allocation to maximize energy...
We develop novel statistical models of the harvested energy from renewab...
For enabling automatic deployment and management of cellular networks, t...
As a technology foundation of cryptocurrencies, blockchain enables
decen...
With the fast expanding scale of vehicular networks, vehicular edge comp...
In uplink non-orthogonal multiple access (NOMA) networks, the order of
d...