Zobrazeno 1 - 10
of 247
pro vyhledávání: '"Sun, Haijian"'
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
The accurate modeling of indoor radio propagation is crucial for localization, monitoring, and device coordination, yet remains a formidable challenge, due to the complex nature of indoor environments where radio can propagate along hundreds of paths
Externí odkaz:
http://arxiv.org/abs/2312.11245
This paper investigates robust beamforming for system-centric energy efficiency (EE) optimization in the vehicular integrated sensing and communication (ISAC) system, where the mobility of vehicles poses significant challenges to channel estimation.
Externí odkaz:
http://arxiv.org/abs/2310.17401
Urban vehicle-to-vehicle (V2V) link scheduling with shared spectrum is a challenging problem. Its main goal is to find the scheduling policy that can maximize system performance (usually the sum capacity of each link or their energy efficiency). Give
Externí odkaz:
http://arxiv.org/abs/2310.08364