Results 31 to 40 of about 21,299 (341)

Underwater Optical Wireless Communications: Overview [PDF]

Sensors, 2020
Underwater Optical Wireless Communication (UOWC) is not a new idea, but it has recently attracted renewed interest since seawater presents a reduced absorption window for blue-green light. Due to its higher bandwidth, underwater optical wireless communications can support higher data rates at low latency levels compared to acoustic and RF counterparts.
Giuseppe Schirripa Spagnolo, Lorenzo Cozzella, Fabio Leccese   +2 more
openaire   +3 more sources

Tradeoff between compression ratio and decoding delay of distributed source coding for uplink transmissions in machine-type communication

International Journal of Distributed Sensor Networks, 2018
Rapid growth of machine-type communications devices challenges the future network with a significant aggregated data traffic. Distributed source coding is a promising technique that compresses data sources and decreases required aggregated data ...
Wen Wang, Jinkang Zhu, Sihai Zhang, Wuyang Zhou   +3 more
doaj   +1 more source

High modulated soliton power propagation interaction with optical fiber and optical wireless communication channels

, 2021
This paper has presented high modulated soliton power transmission interaction with optical fiber and optical wireless communication channels at flow rate of 40 Gbps and 20 km link range.
Mahmoud M. A. Eid, Ashraf S. Seliem, A. Rashed, A. Mohammed, Mohamed Yassin Ali, Shaimaa S. Abaza   +5 more
semanticscholar   +1 more source

Research on Underwater Wireless Optical Communication Channel Model and Its Application

Applied Sciences, 2023
Underwater wireless optical communication (UWOC) is an emerging technology with wide-ranging applications in marine exploration, offshore industries, environmental monitoring, and underwater robotics.
Kai Sun, Yiyang Li, Zekai Han
doaj   +1 more source

Establishing and Maintaining a Reliable Optical Wireless Communication in Underwater Environment [PDF]

IEEE Access, 2021
This paper proposes the trajectory tracking problem between an autonomous underwater vehicle (AUV) and a mobile surface ship, both equipped with optical communication transceivers.
I. N’Doye, Ding Zhang, Mohamed-Slim Alouini, T. Laleg‐Kirati   +3 more
semanticscholar   +1 more source

Communication Efficient Federated Learning With Quantization-Aware Training Design

IEEE Transactions on Machine Learning in Communications and Networking
Model quantization is an effective method that can improve communication efficiency in federated learning (FL). The existing FL quantization protocols almost stay at the level of post-training quantization (PTQ), which comes at the cost of large ...
Xiang Fang, Li Chen, Huarui Yin, Xiaohui Chen, Weidong Wang   +4 more
doaj   +1 more source

When Will You Have a New Mobile Phone? An Empirical Answer From Big Data

IEEE Access, 2016
When and why people change their mobile phones are important issues in mobile communications industry, because it will impact greatly on the marketing strategy and revenue estimation for both mobile operators and manufactures.
Qingli Ma, Sihai Zhang, Wuyang Zhou, Shui Yu, Chonggang Wang   +4 more
doaj   +1 more source

Generalization-Enhanced Channel Estimation Through Adaptive Interpolation and Multi-Task Learning-Based Denoising Network

IEEE Transactions on Machine Learning in Communications and Networking
Accurate CSI estimation with low pilots is desirable for the multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) system.
Bolin Wang, Li Chen, Xiaohui Chen, Weidong Wang   +3 more
doaj   +1 more source

Hierarchically Federated Learning in Wireless Networks: D2D Consensus and Inter-Cell Aggregation

IEEE Transactions on Machine Learning in Communications and Networking
Decentralized federated learning (DFL) architecture enables clients to collaboratively train a shared machine learning model without a central parameter server.
Jie Zhang, Li Chen, Yunfei Chen, Xiaohui Chen, Guo Wei   +4 more
doaj   +1 more source

Classification of Human Motions Using Micro-Doppler Radar in the Environments with Micro-Motion Interference

Sensors, 2019
Human motion classification based on micro-Doppler effect has been widely used in various fields. However, the motion classification performance would be greatly degraded if the wireless environment has non-target micro-motion interference. In this case,
Xiaolin Ma, Running Zhao, Xinhua Liu, Hailan Kuang, Mohammed A. A. Al-qaness   +4 more
doaj   +1 more source