Zobrazeno 1 - 10
of 244
pro vyhledávání: '"Sun, Haijian"'
Offloading time-sensitive, computationally intensive tasks-such as advanced learning algorithms for autonomous driving-from vehicles to nearby edge servers, vehicle-to-infrastructure (V2I) systems, or other collaborating vehicles via vehicle-to-vehic
Externí odkaz:
http://arxiv.org/abs/2408.03435
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 wireless signals will necessitate new wireless technologies and algorit
Externí odkaz:
http://arxiv.org/abs/2407.12286
Autor:
Kudyba, Paul, Mandapaka, Jaya Sravani, Wang, Weijie, McCorkendale, Logan, McCorkendale, Zachary, Kidane, Mathias, Sun, Haijian, Adams, Eric, Namuduri, Kamesh, Fund, Fraida, Sichitiu, Mihail, Ozdemir, Ozgur
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 platforms that provide realistic, reproducible, and reliable experimental vali
Externí odkaz:
http://arxiv.org/abs/2407.12180
Rate split multiple access (RSMA) has been proven as an effective communication scheme for 5G and beyond, especially in vehicular scenarios. However, RSMA requires complicated iterative algorithms for proper resource allocation, which cannot fulfill
Externí odkaz:
http://arxiv.org/abs/2405.01515
Federated learning (FL) has emerged as a distributed machine learning (ML) technique that can protect local data privacy for participating clients and improve system efficiency. Instead of sharing raw data, FL exchanges intermediate learning paramete
Externí odkaz:
http://arxiv.org/abs/2404.11035
Autor:
Ma, Xiang, Zhou, Yuan, Zhang, Hanwen, Wang, Qun, Sun, Haijian, Wang, Hongjie, Hu, Rose Qingyang
As public awareness of environmental protection continues to grow, the trend of integrating more electric vehicles (EVs) into the transportation sector is rising. Unlike conventional internal combustion engine (ICE) vehicles, EVs can minimize carbon
Externí odkaz:
http://arxiv.org/abs/2403.16830
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 devices will offload their computational tasks to an MEC server, using the e
Externí odkaz:
http://arxiv.org/abs/2401.11377
Connected and automated vehicles (CAVs) have become a transformative technology that can change our daily life. Currently, millimeter-wave (mmWave) bands are identified as the promising CAV connectivity solution. While it can provide high data rate,
Externí odkaz:
http://arxiv.org/abs/2401.01822
Channel modeling is fundamental in advancing wireless systems and has thus attracted considerable research focus. Recent trends have seen a growing reliance on data-driven techniques to facilitate the modeling process and yield accurate channel predi
Externí odkaz:
http://arxiv.org/abs/2401.01288
Electric vehicle (EV) has emerged as a transformative force for the sustainable and environmentally friendly future. To alleviate range anxiety caused by battery and charging facility, dynamic wireless power transfer (DWPT) is increasingly recognized
Externí odkaz:
http://arxiv.org/abs/2312.12565