Zobrazeno 1 - 10
of 27
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
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
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
In this paper, we consider intelligent reflecting surface (IRS) in a non-orthogonal multiple access (NOMA)-aided Integrated Sensing and Multicast-Unicast Communication (ISMUC) system, where the multicast signal is used for sensing and communications
Externí odkaz:
http://arxiv.org/abs/2307.14050
In this paper, we study the resource allocation problem for an intelligent reflecting surface (IRS)-assisted OFDM system. The system sum rate maximization framework is formulated by jointly optimizing subcarrier allocation, base station transmit beam
Externí odkaz:
http://arxiv.org/abs/2202.05017