Zobrazeno 1 - 10
of 540
pro vyhledávání: '"Hu, Rose Qingyang"'
Semantic communication is of crucial importance for the next-generation wireless communication networks. The existing works have developed semantic communication frameworks based on deep learning. However, systems powered by deep learning are vulnera
Externí odkaz:
http://arxiv.org/abs/2404.13279
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
Autor:
Lv, Lu, Xu, Dongyang, Hu, Rose Qingyang, Ye, Yinghui, Yang, Long, Lei, Xianfu, Wang, Xianbin, Kim, Dong In, Nallanathan, Arumugam
Driven by the ever-increasing requirements of ultra-high spectral efficiency, ultra-low latency, and massive connectivity, the forefront of wireless research calls for the design of advanced next generation multiple access schemes to facilitate provi
Externí odkaz:
http://arxiv.org/abs/2403.16477
Millimeter wave (mmWave) communications are sensitive to blockage over radio propagation paths. The emerging paradigm of reconfigurable intelligent surface (RIS) has the potential to overcome this issue by its ability to arbitrarily reflect the incid
Externí odkaz:
http://arxiv.org/abs/2403.01249
Unmanned aerial vehicles (UAVs) are widely used for object detection. However, the existing UAV-based object detection systems are subject to the serious challenge, namely, the finite computation, energy and communication resources, which limits the
Externí odkaz:
http://arxiv.org/abs/2401.13995
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