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It has been shown that using appropriate channel coding schemes in wireless environments, transmission energy can be significantly reduced by controlling the packet transmission rate. This paper seeks optimal solutions for downlink…

Optimization and Control · Mathematics 2016-11-17 Lei Miao , Jianfeng Mao , Christos G. Cassandras

To enhance the resource scheduling performance of phased array radar, we propose a dynamic adaptive resource scheduling algorithm based on synthesis priorities and pulse interleaving. This approach addresses the challenges of low…

Signal Processing · Electrical Eng. & Systems 2024-10-01 Mingguang Han

A key feature of the packet scheduler in LTE system is that it can allocate resources both in the time and frequency domain. Furthermore, the scheduler is acquainted with channel state information periodically reported by user equipments…

Networking and Internet Architecture · Computer Science 2014-10-01 Mattia Carpin , Andrea Zanella , Jawad Rasool , Kashif Mahmood , Ole Grøndalen , Olav N. Østerbø

Large-scale low-Earth-orbit satellite constellations offer a promising platform for global low-latency networking, aided by faster propagation in free space than in fiber and copper. In such systems, end-to-end latency is largely determined…

Networking and Internet Architecture · Computer Science 2026-04-20 Arman Mollakhani , Jerayu Tiamraj , Shu-Jie Cao , Dongning Guo

Next-generation wireless networks need to handle massive user access effectively. This paper addresses the problem of joint group scheduling and multicast beamforming for downlink transmission with many active user groups. Aiming to…

Information Theory · Computer Science 2024-06-26 Chong Zhang , Min Dong , Ben Liang , Ali Afana , Yahia Ahmed

Efficient scheduling is of great significance to rationally make use of scarce satellite resources. Task clustering has been demonstrated to realize an effective strategy to improve the efficiency of satellite scheduling. However, the…

Artificial Intelligence · Computer Science 2014-01-24 Guohua Wu , Huilin Wang , Haifeng Li , Witold Pedrycz , Dishan Qiu , Manhao Ma , Jin Liu

Multi-view Synthetic Aperture Radar (SAR) imaging can effectively enhance the performance of tasks such as automatic target recognition and image information fusion. Unmanned aerial vehicles (UAVs) have the advantages of flexible deployment…

Systems and Control · Electrical Eng. & Systems 2025-05-23 Deyu Song , Xiangyin Zhang , Zipei Yu , Kaiyu Qin

Optical remote sensing and Synthetic Aperture Radar(SAR) remote sensing are crucial for earth observation, offering complementary capabilities. While optical sensors provide high-quality images, they are limited by weather and lighting…

Computer Vision and Pattern Recognition · Computer Science 2024-08-13 Hannuo Zhang , Huihui Li , Jiarui Lin , Yujie Zhang , Jianghua Fan , Hang Liu

Caching is crucial in hybrid satellite-terrestrial networks to reduce latency, optimize throughput, and improve data availability by storing frequently accessed content closer to users, especially in bandwidth-limited satellite systems,…

Signal Processing · Electrical Eng. & Systems 2025-10-07 Zhou Zhang , Yizhu Wang , Saman Atapattu , Sumei Sun

Synthetic aperture radar (SAR) provides valuable information about the Earth's surface under all weather and illumination conditions. However, the inherent phenomenon of speckle and the presence of sidelobes around bright targets pose…

Image and Video Processing · Electrical Eng. & Systems 2026-01-06 Antoine De Paepe , Pascal Nguyen , Michael Mabelle , Cédric Saleun , Antoine Jouadé , Jean-Christophe Louvigne

With the burgeoning demand for data-intensive services, satellite-terrestrial networks (STNs) face increasing backhaul link congestion, deteriorating user quality of service (QoS), and escalating power consumption. Cache-aided STNs are…

Networking and Internet Architecture · Computer Science 2025-03-25 Shuo Yuan , Yaohua Sun , Mugen Peng

Satellite-based remote sensing is instrumental in the monitoring and mitigation of the effects of anthropogenic climate change. Large scale, high resolution data derived from these sensors can be used to inform intervention and policy…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Matt Allen , Francisco Dorr , Joseph A. Gallego-Mejia , Laura Martínez-Ferrer , Anna Jungbluth , Freddie Kalaitzis , Raúl Ramos-Pollán

With the rapid development of high-speed railway (HSR), how to provide the passengers with multimedia services has attracted increasing attention. A key issue is to develop an effective scheduling algorithm for multiple services with…

Networking and Internet Architecture · Computer Science 2016-11-15 Shengfeng Xu , Gang Zhu , Chao Shen , Bo Ai

This paper presents a scheduling framework that is configured for, and used in physic systems. Our work addresses the problem of scheduling various computationally intensive and data intensive applications that are required for extracting…

Distributed, Parallel, and Cluster Computing · Computer Science 2008-12-12 Florin Pop

Small satellites have proven to be viable Earth observation platforms. These satellites operate in regimes of increased trajectory uncertainty where traditional planning approaches can lead to sub-optimal task plans, limiting science…

Systems and Control · Computer Science 2019-05-07 Duncan Eddy , Mykel Kochenderfer

Earth observing satellites carrying multi-spectral sensors are widely used to monitor the physical and biological states of the atmosphere, land, and oceans. These satellites have different vantage points above the earth and different…

Computer Vision and Pattern Recognition · Computer Science 2020-10-14 Thomas Vandal , Daniel McDuff , Weile Wang , Andrew Michaelis , Ramakrishna Nemani

Satellite constellations in low-Earth orbit are now widespread, enabling positioning, Earth imaging, and communications. In this paper we address the solution of learning problems using these satellite constellations. In particular, we…

Machine Learning · Computer Science 2025-11-26 Ruxandra-Stefania Tudose , Moritz H. W. Grüss , Grace Ra Kim , Karl H. Johansson , Nicola Bastianello

Novel deep-learning (DL) architectures have reached a level where they can generate digital media, including photorealistic images, that are difficult to distinguish from real data. These technologies have already been used to generate…

Computer Vision and Pattern Recognition · Computer Science 2024-04-12 Tuong Vy Nguyen , Alexander Glaser , Felix Biessmann

Recently, physical layer security based approaches have drawn considerable attentions and are envisaged to provide secure communications in the wireless networks. However, most existing literatures only focus on the physical layer. Thus,…

Information Theory · Computer Science 2013-08-19 Jun Wang , Pengfei Huang , Xudong Wang

Earth Observation Satellite Planning (EOSP) is a difficult optimization problem with considerable practical interest. A set of requested observations must be scheduled on an agile Earth observation satellite while respecting constraints on…

Artificial Intelligence · Computer Science 2025-11-27 Antoine Jacquet , Guillaume Infantes , Emmanuel Benazera , Vincent Baudoui , Jonathan Guerra , Stéphanie Roussel