By integrating recent advances in large language models (LLMs) and gener...
This paper proposes new framework of communication system leveraging
pro...
In this paper, we introduce a novel semantic generative communication (S...
This paper presents a wireless data collection framework that employs an...
Low probability of detection (LPD) has recently emerged as a means to en...
In this work, we propose and develop a simple experimental testbed to st...
Response ranking in dialogues plays a crucial role in retrieval-based
co...
We present the InterviewBot that dynamically integrates conversation his...
Autoencoder (AE) is a neural network (NN) architecture that is trained t...
Computation offloading becomes useful for users of limited computing pow...
Federated learning (FL) enables the training of models among distributed...
Metaverse over wireless networks is an emerging use case of the sixth
ge...
The bottleneck of distributed edge learning (DEL) over wireless has shif...
Due to increasing demands of seamless connection and massive information...
In Shannon theory, semantic aspects of communication were identified but...
Real-time remote control over wireless is an important-yet-challenging
a...
Semantic communication (SC) goes beyond technical communication in which...
Classical medium access control (MAC) protocols are interpretable, yet t...
In various Internet-of-Things (IoT) applications, a number of devices an...
Traditionally, studies on technical communication (TC) are based on
stoc...
This is a report on the NSF Future Directions Workshop on Automatic
Eval...
This article aims to provide a unified and technical approach to semanti...
In recent years, there have been great advances in the field of decentra...
Since there are a number of Internet-of-Things (IoT) applications that n...
In this paper, we propose a network coding (NC) based approach to
ultra-...
Antenna arrays have a long history of more than 100 years and have evolv...
In this paper, we focus on the throughput of random access with power-do...
Digital connectivity has become the foundation of prosperity and an esse...
In this paper, we study communication-efficient distributed stochastic
g...
We present a novel deep learning-based framework to generate embedding
r...
Remote state monitoring over wireless is envisaged to play a pivotal rol...
There is a growing interest in the transition from 4-step random access ...
Massive machine-type communication (MTC) is expected to play a key role ...
In this paper, for efficient data collection with limited bandwidth,
dat...
In this paper, we study data-aided sensing (DAS) for distributed detecti...
Improving the data rate of machine-type communication (MTC) is essential...
In this paper, we study grant-free random access with massive multiple i...
We consider multiple access with re-transmission diversity (RTxD) based ...
In machine-type communication (MTC), random access has been employed for...
To support machine-type communication (MTC), massive multiple-input
mult...
Machine-type communication (MTC) has been extensively studied to provide...
In machine-type communication (MTC), a group of devices or sensors may n...
Massive machine-type communication (mMTC) and ultra-reliable and low-lat...
In this paper, we discuss a non-orthogonal multiple access (NOMA) scheme...
In this paper, we study compressive random access (CRA) with two stages ...
In this paper, we consider exploration for multichannel ALOHA by transmi...
This letter proposes a novel random medium access control (MAC) based on...
In this paper, we study federated learning in a cellular system with a b...
In this paper, we study data-aided sensing (DAS) for a system consisting...
This paper analyzes challenges in cloze-style reading comprehension on
m...