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arXiv 2021年

作者： Ayoobi, Nooshin Sharifrazi, Danial Alizadehsani, Roohallah Shoeibi, Afshin Gorriz, Juan M. Moosaei, Hossein Khosravi, Abbas Nahavandi, Saeid Chofreh, Abdoulmohammad Gholamzadeh Goni, Feybi Ariani Klemeš, Jiří Jaromír Mosavi, Amir Department of Mathematics Savitribai Phule Pune University Pune411007 India Department of Computer Engineering School of Technical and Engineering Shiraz Branch Islamic Azad University Shiraz Iran Institute for Intelligent Systems Research and Innovation Deakin University GeelongVIC3216 Australia Computer Engineering Department Ferdowsi University of Mashhad Mashhad Iran Faculty of Electrical and Computer Engineering Biomedical Data Acquisition Lab K. N. Toosi University of Technology Tehran Iran Department of Signal Theory Networking and Communications Universidad de Granada Spain Department of Mathematics Faculty of Science University of Bojnord Iran Sustainable Process Integration Laboratory - SPIL NETME Centre Faculty of Mechanical Engineering Brno University of Technology - VUT Brno Technická 2896/2 Brno616 69 Czech Republic Department of Management Faculty of Business and Management Brno University of Technology VUT Brno Kolejní 2906/4 Brno612 00 Czech Republic Faculty of Civil Engineering Technische Universität Dresden Dresden01069 Germany John von Neumann Faculty of Informatics Obuda University Budapest1034 Hungary School of Economics and Business Norwegian University of Life Sciences 1430 Norway

The first known case of Coronavirus disease 2019 (COVID-19) was identified in December 2019. It has spread worldwide, leading to an ongoing pandemic, imposed restrictions and costs to many countries. Predicting the number of new cases and deaths during this period can be a useful step in predicting the costs and facilities required in the future. The purpose of this study is to predict new cases and deaths rate one, three and seven-day ahead during the next 100 days. The motivation for predicting every n days (instead of just every day) is the investigation of the possibility of computational cost reduction and still achieving reasonable performance. Such a scenario may be encountered real-time forecasting of time series. Six different deep learning methods are examined on the data adopted from the WHO website. Three methods are LSTM, Convolutional LSTM, and GRU. The bidirectional extension is then considered for each method to forecast the rate of new cases and new deaths in Australia and Iran countries. This study is novel as it carries out a comprehensive evaluation of the aforementioned three deep learning methods and their bidirectional extensions to perform prediction on COVID-19 new cases and new death rate time series. To the best of our knowledge, this is the first time that Bi-GRU and Bi-Conv-LSTM models are used for prediction on COVID-19 new cases and new deaths time series. The evaluation of the methods is presented in the form of graphs and Friedman statistical test. The results show that the bidirectional models have lower errors than other models. Several error evaluation metrics are presented to compare all models, and finally, the superiority of bidirectional methods is determined. This research could be useful for organizations working against COVID-19 and determining their long-term plans. Copyright © 2021, The Authors. All rights reserved.

关键词： Coronavirus

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Analysis of data harvesting by unmanned aerial vehicles

arXiv

引用

arXiv 2019年

作者： Choi, Chang-Sik Baccelli, François Veciana, Gustavo de Wireless Networking and Communication Group Department of Electrical and Computer Engineering University of Texas at Austin TX United States

This paper explores an emerging wireless architecture based on Unmanned Aerial Vehicles (UAVs), i.e., drones. We consider a network where UAVs at fixed altitude harvest data from Internet-of-Things (IoT) devices on the ground. In such a system, the UAVs’ motion activates IoT uplink transmissions and so the motion triggers the interference field and determines the network performance. To analyze the performance, we propose a stochastic geometry model. The coverage area of each UAV, referred to as the activation window, is modeled for simplicity as a rectangle where at most one IoT device is scheduled to transmit at a time. In this setting, we analyze the signal-to-interference and data rate from two typical perspectives, namely from a typical UAV’s and from a typical IoT device’s points of view. Our stochastic geometry model enables us to explore the size of the activation window which maximizes the UAV networks’ harvesting capacity. Finally, we present a network extension of the proposed model and derive the network performance. Copyright © 2019, The Authors. All rights reserved.

关键词： Internet of things

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A Survey of Applications Research on Content-Centric networking

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China Communications 2019年第9期16卷 122-140页

作者： Xiuquan Qiao Hongyi Wang Wei Tan Athanasios V.Vasilakos Junliang Chen MBrian Blake State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China Information Engineering College Henan University of Science and TechnologyLuoyang 471003China IBM T.J.Watson Research Center Yorktown HeightsNY 10598USA The Department of Electrical and Computer Engineering National Technical University of AthensAthens 157 80Greece College of Computing and Informatics Drexel UniversityPhiladelphiaPA 1904USA

As a named data-based clean-slate future Internet architecture,Content-Centric networking(CCN)uses entirely different protocols and communication patterns from the host-to-host IP *** CCN,communication is wholly driven by the data *** must send Interest packets with the content name and not by the host’s network *** nature of in-network caching,Interest packets aggregation and hop-byhop communication poses unique challenges to provision of Internet applications,where traditional IP network no long works *** paper presents a comprehensive survey of state-of-the-art application research activities related to CCN *** main aims in this survey are(a)to identify the advantages and drawbacks of CCN architectures for application provisioning;(b)to discuss the challenges and opportunities regarding service provisioning in CCN architectures;and(c)to further encourage deeper thinking about design principles for future Internet architectures from the perspective of upper-layer applications.

关键词： Content-centric networking(CCN) named-data networking (NDN) applications information-centric networking future Internet

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Codebooks of Complex Lines Based on Binary Subspace Chirps

Codebooks of Complex Lines Based on Binary Subspace Chirps

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IEEE (first ITW conference of the year) Information Theory Workshop (ITW)

作者： Olav Tirkkonen Robert Calderbank Department of Communications and Networking Aalto University Finland Department of Electrical and Computer Engineering Duke University Durham North Carolina USA

Motivated by problems in machine-type wireless communications, we consider codebooks of complex Grassmannian lines in N = 2 m dimensions. Binary Chirp (BC) codebooks of prior art are expanded to codebooks of Binary Subspace Chirps (BSSCs), where there is a binary chirp in a subset of the dimensions, while in the remaining dimensions there is a zero. BSSC codebooks have the same minimum distance as BC codebooks, while the cardinality is asymptotically 2.38 times larger. We discuss how BC codebooks can be understood in terms of a subset of the binary symplectic group Sp(2m, 2) in 2m dimensions; Sp(2m, 2) is isomorphic to a quotient group of the Clifford group acting on the codewords in N dimensions. The Bruhat decomposition of Sp(2m, 2) can be described in terms of binary subspaces in m dimensions, with ranks ranging from r = 0 to r = m. We provide a unique parameterization of the decomposition. The BCs arise directly from the full-rank part of the decomposition, while BSSCs are a group code arising from the action of the full group with generic r. The rank of the binary subspace is directly related to the number of zeros (sparsity) in the BSSC. We develop a reconstruction algorithm that finds the correct codeword with O(N log 2 N) complexity, and present performance results in an additive white Gaussian noise scenario.

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Detecting centralized architecture-based botnets using travelling salesperson non-deterministic polynomial-hard problem, TSP-NP technique

arXiv

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arXiv 2020年

作者： Kebande, Victor R. Ikuesan, Richard Adeyemi Al-Ghushami, Abdullah Karie, Nickson M. Venter, H.S. Computer Science & MT Malmö University Malmö Sweden Cybersecurity and Networking Department School of Information Technology Community College of Qatar Doha Qatar Security Research Institute School of Science Edith Cowan University Joondalup Australia Department of Computer Science Faculty of Engineering Built Environment and Information Technology University of Pretoria Pretoria South Africa

— The threats posed by botnets in the cyberspace continue to grow each day and it has become very hard to detect or infiltrate the cynicism of bots. This, is owing to the fact, that, the botnet developers each day, keep changing the propagation and attack techniques. Currently, most of these attacks have been centered on stealing computing energy, theft of personal information and Distributed Denial of Service (DDoS) attacks. In this paper, the authors propose a novel technique that uses the Non-Deterministic Polynomial-Time Hardness (NP-Hard Problem) based on the Traveling Salesperson Person (TSP) that depicts that a given bot, bj, is able to visit each host on a network environment, NE, and then it returns to the botmaster, in form of instruction(command), through optimal minimization of the hosts that are (may) be attacked. Given that bj represents a piece of malicious code and TSP-NP Hard Problem, which forms part of combinatorial optimization, the authors present this as an effective approach for the detection of the botnet. It is worth noting that the concentration of this study is basically on the centralized botnet architecture. This holistic approach shows that botnet detection accuracy can be increased with a degree of certainty and potentially decrease the chances of false positives. Nevertheless, a discussion on the possible applicability and implementation has also been given in this *** Codes Research article Copyright © 2020, The Authors. All rights reserved.

关键词： Botnet

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Spatial and temporal analysis of direct communications from static devices to mobile vehicles

arXiv

引用

arXiv 2019年

作者： Choi, Chang-Sik Baccelli, François Wireless Networking and Communication Group Department of Electrical and Computer Engineering University of Texas AustinTX United States

This paper proposes a framework to analyze an emerging wireless architecture where vehicles collect data from devices. Using stochastic geometry, the devices are modeled by a planar Poisson point process. Independently, roads and vehicles are modeled by a Poisson line process and a Cox point process, respectively. For any given time, a vehicle is assumed to communicate with a roadside device in a disk of radius centered at the vehicle, which is referred to as the coverage disk. We study the proposed network by analyzing its short-term and long-term behaviors based on its space and time performance metrics, respectively. As short-term analysis, we explicitly derive the signal-to-interference ratio distribution of the typical vehicle and the area spectral efficiency of the proposed network. As longterm analysis, we derive the area fraction of the coverage disks and then compute the latency of the network by deriving the distribution of the minimum waiting time of a typical device to be covered by a disk. Leveraging these properties, we analyze various trade-off relationships and optimize the network utility. We further investigate these trade-offs using comparison with existing cellular networks. Copyright © 2019, The Authors. All rights reserved.

关键词： Vehicles

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RIS-Aided Next-Generation High-Speed Train Communications: Challenges, Solutions, and Future Directions

arXiv

引用

arXiv 2021年

作者： Liu, Heng Zhang, Jiayi Wu, Qingqing Jin, Yu Chen, Yuanbin Ai, Bo School of Electronics and Information Engineering Beijing Jiaotong University Beijing100044 China State Key Laboratory of Internet of Things for Smart City University of Macau 999078 China State Key Laboratory of Internet of Things for Smart City Department of Electrical and Computer Engineering University of Macau 999078 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China

High-speed train (HST) communication is a very challenging scenario in wireless communication systems due to its fast time-varying channels and significant penetration loss. Thanks to the low cost and smart channel reconfiguration ability, reconfigurable intelligent surface (RIS) has been proposed as a promising technology to solve the aforementioned challenges costeffectively and to achieve high spectral and energy-efficiency in the next-generation HST communication systems. In this article, we first provide a novel RIS-aided HST wireless communication paradigm, including its main challenges and application scenarios. Then, we propose practical solutions are provided to realize efficient signal processing and resource management in the considered system. Finally, future directions of RIS-aided HST communication systems are pointed out to inspire further investigation in future work. Copyright © 2021, The Authors. All rights reserved.

关键词： Railroads

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The Impact of Side Information on Physical Layer Security under Correlated Fading Channels

arXiv

引用

arXiv 2021年

作者： Ghadi, Farshad Rostami López-Martínez, F. Javier Zhu, Wei-Ping Gorce, Jean-Marie Universidad de Málaga Málaga29010 Spain The Dept. Signal Theory Networking and Communications University of Granada Granada18071 Spain Department of Electrical and Computer Engineering Concordia University MontrealQCH3G 1M8 Canada The Laboratoire CITI The Université de Lyon INRIA INSA de Lyon 6 Avenue des Arts VilleurbanneF-69621 France

In this paper, we investigate the impact of side information (SI) on the performance of physical layer security (PLS) under correlated fading channels. By considering non-causally known SI at the transmitter and exploiting the copula technique to describe the fading correlation, we derive closed-from expressions for the average secrecy capacity (ASC) and secrecy outage probability (SOP) under positive/negative dependence conditions. We indicate that considering such knowledge at the transmitter is beneficial for system performance and ensures reliable communication with higher rates, as it improves the SOP and brings higher values of the ASC. Copyright © 2021, The Authors. All rights reserved.

关键词： Transmitters

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Multi-Agent Deep Reinforcement Learning for Secure UAV Communications

Multi-Agent Deep Reinforcement Learning for Secure UAV Commu...

引用

IEEE Conference on Wireless Communications and networking

作者： Yu Zhang Zirui Zhuang Feifei Gao Jingyu Wang Zhu Han Beijing National Research Center for Information Science and Technology (BNRist) Tsinghua University Beijing China Department of Electrical and Computer Engineering University of Houston Texas USA State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9781728131061

ISBN: (纸本)9781728131078

In this paper, we investigate a multi-unmanned aerial vehicle (UAV) cooperation mechanism for secure communications, where the UAV transmitter moves around to serve the multiple ground users (GUs) while the UAV jammers send the 3D jamming signals to the ground eavesdroppers (GEs) to protect the UAV transmitter from being wiretapped. The 3D jamming guarantees the GEs not being interfered by the jamming signals. It is challenging to make a joint trajectory design and power control for a UAV team without central control. To this end, we propose a multi-agent deep reinforcement learning approach to achieve the maximum sum secure rate by designing the dynamic trajectory of each UAV. The proposed multi-agent deep deterministic policy gradient (MADDPG) technique is centralized training at high altitude platforms (HAPs) and distributed execution at each UAV, which enables the fully distributed cooperation among UAVs. Finally, the simulation results show the proposed method can efficiently solve the multi-UAV cooperation trajectory design problem in secure communication scenarios.

关键词： Training Three-dimensional displays Transmitters Simulation Power control Reinforcement learning Germanium

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SRA360: Super-Resolution Enhanced Adaptive 360-Degree Video Streaming for Heterogeneous Viewers

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IEEE Transactions on Network Science and engineering 2025年

作者： Wu, Zhonghui Lu, Lu Chen, Xingyan Ma, Yunxiao Yang, Shujie Wang, Mu Zhong, Lujie Wu, Dapeng Oliver Xu, Changqiao China Mobile Research Institute Department of Basic Network Technology Beijing100053 China Beijing University of Posts and Telecommunications School of Intelligent Engineering and Automation Beijing100876 China Shanghai Satellite Network Research Institute Co. Ltd Shanghai Key Laboratory of Satellite Network State Key Laboratory of Satellite Network Shanghai201210 China Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China Capital Normal University Information Engineering College Beijing100048 China City University of Hong Kong Department of Computer Science Kowloon Hong Kong

As a driving force behind Virtual Reality (VR), 360-degree video streaming enables immersive and interactive experiences that seamlessly connect the physical and digital worlds. However, their bandwidth-intensive nature poses substantial challenges to existing systems. To address the high bandwidth demand associated with streaming 360-degree videos, some researchers have proposed super-resolution technology enhanced video streaming systems. However, these solutions often face challenges in uniformly applying to diverse user devices, which exhibit significant variations in bandwidth and computational capabilities. This paper introduces SRA360, an innovative super-resolution enhanced adaptive 360-degree video streaming scheme for heterogeneous viewers. It integrates server, edge, and client layers, utilizing a Meta Proximal Policy Optimization algorithm for adaptive video quality selection and computational task scheduling in heterogeneous environments. Then a Reconstruction and Retransmission enabled Double Buffer mechanism is proposed to solve the conflict of smooth playback and high-precision FoV prediction. Real-world trace-driven experiment results demonstrate the superiority of SRA360 in enhancing quality of experience and reducing bandwidth consumption compared to state-of-art methods. © 2013 IEEE.

关键词： Video streaming

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