Zobrazeno 11 - 20
of 261
pro vyhledávání: '"Sun, Haijian"'
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
Autor:
Dou, Fei, Ye, Jin, Yuan, Geng, Lu, Qin, Niu, Wei, Sun, Haijian, Guan, Le, Lu, Guoyu, Mai, Gengchen, Liu, Ninghao, Lu, Jin, Liu, Zhengliang, Wu, Zihao, Tan, Chenjiao, Xu, Shaochen, Wang, Xianqiao, Li, Guoming, Chai, Lilong, Li, Sheng, Sun, Jin, Sun, Hongyue, Shao, Yunli, Li, Changying, Liu, Tianming, Song, Wenzhan
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and execute tasks with human cognitive abilities, engenders significant anticipation and intrigue across scientific, commercial, and societal arenas. This fascinatio
Externí odkaz:
http://arxiv.org/abs/2309.07438
Relay-enabled backscatter communication (BC) is an intriguing paradigm to alleviate energy shortage and improve throughput of Internet-of-Things (IoT) devices. Most of the existing works focus on the resource allocation that considered the unequal an
Externí odkaz:
http://arxiv.org/abs/2307.14064
Asynchronous federated learning aims to solve the straggler problem in heterogeneous environments, i.e., clients have small computational capacities that could cause aggregation delay. The principle of asynchronous federated learning is to allow the
Externí odkaz:
http://arxiv.org/abs/2306.01207
Autor:
Lu, Guoyu, Li, Sheng, Mai, Gengchen, Sun, Jin, Zhu, Dajiang, Chai, Lilong, Sun, Haijian, Wang, Xianqiao, Dai, Haixing, Liu, Ninghao, Xu, Rui, Petti, Daniel, Li, Changying, Liu, Tianming
Artificial General Intelligence (AGI) is poised to revolutionize a variety of sectors, including healthcare, finance, transportation, and education. Within healthcare, AGI is being utilized to analyze clinical medical notes, recognize patterns in pat
Externí odkaz:
http://arxiv.org/abs/2304.06136
This paper presents an approximate wireless communication scheme for federated learning (FL) model aggregation in the uplink transmission. We consider a realistic channel that reveals bit errors during FL model exchange in wireless networks. Our stud
Externí odkaz:
http://arxiv.org/abs/2304.03359
Motivated by the ever-increasing concerns on personal data privacy and the rapidly growing data volume at local clients, federated learning (FL) has emerged as a new machine learning setting. An FL system is comprised of a central parameter server an
Externí odkaz:
http://arxiv.org/abs/2208.01826