most citedTowards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges

32 citations · 43 across the 5 of their papers we have counts for

collaborators

15 papers

cs.IT2024

Channel Knowledge Map for Cellular-Connected UAV via Binary Bayesian Filtering

Yuhang Yang, Xiaoli Xu, Yong Zeng +2

Channel knowledge map (CKM) is a promising technology to enable environment-aware wireless communications and sensing. Link state map (LSM) is one particular type of CKM that aims…

cs.NI2024

Communication-Aware Consistent Edge Selection for Mobile Users and Autonomous Vehicles

Nazish Tahir, Ramviyas Parasuraman, Haijian Sun

Offloading time-sensitive, computationally intensive tasks-such as advanced learning algorithms for autonomous driving-from vehicles to nearby edge servers, vehicle-to-infrastructu…

cs.NI2024

Bayesian Optimization for Fast Radio Mapping and Localization with an Autonomous Aerial Drone

Paul S. Kudyba, Qin Lu, Haijian Sun

This paper explores how a flying drone can autonomously navigate while constructing a narrowband radio map for signal localization. As flying drones become more ubiquitous, their w…

cs.NI2024

A UAV-assisted Wireless Localization Challenge on AERPAW

Paul Kudyba, Jaya Sravani Mandapaka, Weijie Wang +9

As wireless researchers are tasked to enable wireless communication as infrastructure in more dynamic aerial settings, there is a growing need for large-scale experimental platform…

cs.NI20242 cited

Exploring Communication Technologies, Standards, and Challenges in Electrified Vehicle Charging

Xiang Ma, Yuan Zhou, Hanwen Zhang +4

As public awareness of environmental protection continues to grow, the trend of integrating more electric vehicles (EVs) into the transportation sector is rising. Unlike convention…

eess.SP20241 cited

Joint User Scheduling and Computing Resource Allocation Optimization in Asynchronous Mobile Edge Computing Networks

Yihan Cang, Ming Chen, Yijin Pan +4

In this paper, the problem of joint user scheduling and computing resource allocation in asynchronous mobile edge computing (MEC) networks is studied. In such networks, edge device…