Zobrazeno 1 - 10
of 354
pro vyhledávání: '"Yin Changchuan"'
Autor:
Yin Changchuan
Publikováno v:
Computational and Mathematical Biophysics, Vol 10, Iss 1, Pp 105-122 (2022)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the current global COVID-19 pandemic, in which millions of lives have been lost. Understanding the zoonotic evolution of the coronavirus may provide insights for d
Externí odkaz:
https://doaj.org/article/00d67cfeeb6841aeb9589124f8c8282f
This paper studies an end-to-end video semantic communication system for massive communication. In the considered system, the transmitter must continuously send the video to the receiver to facilitate character reconstruction in immersive application
Externí odkaz:
http://arxiv.org/abs/2402.01330
In this paper, the problem of using one active unmanned aerial vehicle (UAV) and four passive UAVs to localize a 3D target UAV in real time is investigated. In the considered model, each passive UAV receives reflection signals from the target UAV, wh
Externí odkaz:
http://arxiv.org/abs/2401.12079
Existing research on extremely large-scale intelligent reflecting surface (XL-IRS) beam training has assumed the far-field channel model for base station (BS)-IRS link. However, this approach may cause degraded beam training performance in practice d
Externí odkaz:
http://arxiv.org/abs/2309.06259
This paper investigates the adaptive bitrate (ABR) video semantic communication over wireless networks. In the considered model, video sensing devices must transmit video semantic information to an edge server, to facilitate ubiquitous video sensing
Externí odkaz:
http://arxiv.org/abs/2308.00531
In this paper, we study the codebook-based near-field beam training for intelligent reflecting surfaces (IRSs) aided wireless system. In the considered model, the near-field beam training is critical to focus signals at the location of user equipment
Externí odkaz:
http://arxiv.org/abs/2303.06962
In this paper, the performance optimization of federated learning (FL), when deployed over a realistic wireless multiple-input multiple-output (MIMO) communication system with digital modulation and over-the-air computation (AirComp) is studied. In p
Externí odkaz:
http://arxiv.org/abs/2302.14648
In this paper, the problem of sum-rate maximization for an active reconfigurable intelligent surface (RIS) assisted downlink rate-splitting multiple access (RSMA) transmission system is studied. In the considered model, the active RIS is deployed to
Externí odkaz:
http://arxiv.org/abs/2301.12833
In this paper, the problem of semantic-based efficient image transmission is studied over the Internet of Vehicles (IoV). In the considered model, a vehicle shares massive amount of visual data perceived by its visual sensors to assist other vehicles
Externí odkaz:
http://arxiv.org/abs/2210.05321
Autor:
Wang, Sihua, Chen, Mingzhe, Brinton, Christopher G., Yin, Changchuan, Saad, Walid, Cui, Shuguang
This paper considers improving wireless communication and computation efficiency in federated learning (FL) via model quantization. In the proposed bitwidth FL scheme, edge devices train and transmit quantized versions of their local FL model paramet
Externí odkaz:
http://arxiv.org/abs/2209.10200