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arXiv 2022年

作者： Khan, Muhammad Asghar Kumar, Neeraj Mohsan, Syed Agha Hassnain Khan, Wali Ullah Nasralla, Moustafa M. Alsharif, Mohammed H. Zywiolek, Justyna Ullah, Insaf The Hamdard Institute of Engineering and Technology Islamabad45550 Pakistan Department of Computer Science and Information Engineering Asia University Taiwan School of Computer Science University of Petroleum and Energy Studies Uttarakhand Dehradun India Optical Communication Laboratory Ocean College Zhejiang University Zheda Road 1 Zhoushan316021 China University of Luxembourg Luxembourg City1855 Luxembourg Communications and Networks Engineering Department Prince Sultan University Riyadh Saudi Arabia Sejong University Seoul05006 Korea Republic of Czestochowa University of Technology Czestochowa Poland

Fifth-generation (5G) cellular networks have led to the implementation of beyond 5G (B5G) networks, which are capable of incorporating autonomous services to swarm of unmanned aerial vehicles (UAVs). They provide capacity expansion strategies to address massive connectivity issues and guarantee ultra-high throughput and low latency, especially in extreme or emergency situations where network density, bandwidth, and traffic patterns fluctuate. On the one hand, 6G technology integrates AI/ML, IoT, and blockchain to establish ultra-reliable, intelligent, secure, and ubiquitous UAV networks. 6G networks, on the other hand, rely on new enabling technologies such as air interface and transmission technologies, as well as a unique network design, posing new challenges for the swarm of *** these challenges in mind, this article focuses on the security and privacy, intelligence, and energy-efficiency issues faced by swarms of UAVs operating in 6G mobile network. In this state-of-the-art review, we integrated blockchain and AI/ML with UAV networks utilizing the 6G ecosystem. The key findings are then presented, and potential research challenges are identified. We conclude the review by shedding light on future research in this emerging field of research. Copyright © 2022, The Authors. All rights reserved.

关键词： Energy efficiency

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A virtual machine placement algorithm combining NSGA-II and bin-packing heuristic 20

A virtual machine placement algorithm combining NSGA-II and ...

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20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019

作者： Wei, Wenting Wang, Kun Wang, Kexin Guo, Shengjun Gu, Huaxi State Key Laboratory of Integrated Service Networks Xidian University Xi'an China Science and Technology on Communication Networks Laboratory Shijiazhuang China School of Computer and Technology Science and Technology Xidian University Xi'an China

ISBN: (纸本)9781728126166

The servers in the data center networks have multi-dimensional physical resources, and there is a lot of diversity in resource consumption among tasks. When virtual machines carrying different user requests are deployed on the same server at the same time, it is very likely that there is an imbalanced usage of multi-dimensional resources, resulting in the waste of physical resources. In this paper, we focus on virtual machine placement in data centers aiming to balance multi-dimensional resource usage and maximize the service rate. To solve such a bi-objective optimization problem, we present a joint bin-packing heuristic and genetic algorithm to reduce the time complexity while obtaining an approximate optimal solution. © 2019 IEEE.

关键词： Virtual machine

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Intelligent Reflecting Surface-Aided Wireless communication with Movable Elements

arXiv

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arXiv 2023年

作者： Hu, Guojie Wu, Qingqing Xu, Dognhui Xu, Kui Si, Jiangbo Cai, Yunlong Al-Dhahir, Naofal The College of Communication Engineering Rocket Force University of Engineering Xi’an710025 China The Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China The College of Communications Engineering The Army of Engineering University Nanjing210007 China The Integrated Service Networks Lab of Xidian University Xi’an710100 China The College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China The Department of Electrical and Computer Engineering The University of Texas at Dallas RichardsonTX75080 United States

Intelligent reflecting surface (IRS) has been recognized as a powerful technology for boosting communication performance. To reduce manufacturing and control costs, it is preferable to consider discrete phase shifts (DPSs) for IRS, which are set by default as uniformly distributed in the range of [−π, π) in the literature. Such setting, however, cannot achieve a desirable performance over the general Rician fading where the channel phase concentrates in a narrow range with a higher probability. Motivated by this drawback, we in this paper design optimal non-uniform DPSs for IRS to achieve a desirable performance level. The fundamental challenge is the possible offset in phase distribution across different cascaded source-element-destination channels, if adopting conventional IRS where the position of each element is fixed. Such phenomenon leads to different patterns of optimal non-uniform DPSs for each IRS element and thus causes huge manufacturing costs especially when the number of IRS elements is large. Driven by the recently emerging fluid antenna system (or movable antenna technology), we demonstrate that if the position of each IRS element can be flexibly adjusted, the above phase distribution offset can be surprisingly eliminated, leading to the same pattern of DPSs for each IRS element. Armed with this, we then determine the form of unified non-uniform DPSs based on a low-complexity iterative algorithm. Simulations show that our proposed design significantly improves the system performance compared to competitive benchmarks. Copyright © 2023, The Authors. All rights reserved.

关键词： Iterative methods

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Efficient SDN-Based Traffic Monitoring in IoT networks with Double Deep Q-Network 9th

Efficient SDN-Based Traffic Monitoring in IoT Networks with ...

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9th International Conference on Computational Data and Social networks, CSoNet 2020

作者： Nguyen, Tri Gia Phan, Trung V. Hoang, Dinh Thai Nguyen, Tu N. So-In, Chakchai Faculty of Information Technology Duy Tan University Danang50206 Viet Nam Chair of Communication Networks Technische Universität Chemnitz Chemnitz09126 Germany School of Electrical and Data Engineering University of Technology Sydney SydneyNSW2007 Australia Department of Computer Science Purdue University Fort Wayne Fort WayneIN46805 United States Department of Computer Science Faculty of Science Khon Kaen University Khon Kaen40002 Thailand

ISBN: (纸本)9783030660451

In an Internet of Things (IoT) environment, network traffic monitoring tasks are intractable to achieve due to various IoT traffic types. Recently, the development of Software-Defined Networking (SDN) enables outstanding flexibility and scalability abilities in network control and management, thereby providing a potential approach to mitigate challenges in monitoring the IoT traffic. In this paper, we propose an IoT traffic monitoring approach that implements deep reinforcement learning technique to maximize the fine-grained monitoring capability, i.e., level of traffic statistics details, for several IoT traffic groups. Specifically, we first study a flow-rule matching control system constrained by different expected levels of statistics details and by the flow-table limit of the SDN-based gateway device. We then formulate our control optimization problem by employing the Markov decision process (MDP). Afterwards, we develop Double Deep Q-Network (DDQN) algorithm to quickly obtain the optimal flow-rule matching control policy. Through the extensive experiments, the obtained results verify that the proposed approach yields outstanding improvements in terms of the ability to simultaneously provide different required degrees of statistics details while protecting the gateway devices from being overflowed in comparisons with those of the conventional Q-learning method and the typical SDN flow rule setting. © 2020, Springer Nature Switzerland AG.

关键词： Reinforcement learning

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All-fiber Yb:fiber frequency comb

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Chinese Optics Letters 2019年第5期17卷 94-96页

作者： Yawei Chang Tongxiao Jiang Zhigang Zhang Aimin Wang State Key Laboratory of Advanced Optical Communication System and Networks School of ElectronicsEngineering and Computer Science Peking University

We demonstrate an all-fiber Yb:fiber frequency comb with a nonlinear-amplifying-loop-mirror-based Yb:fiber laser oscillator. The fiber-spliced hollow-core photonic bandgap fiber was used as dispersion compensator, which was also directly spliced to a piece of tapered photonic crystal fiber for an octave-spanning spectrum. The spectrum of the compressed 107 fs laser pulses was broadened, covering 600 nm to 1300 nm in a high-nonlinearity tapered fiber for f to 2f beating. The signal-to-noise ratio of offset frequency was measured to be 22 dB.

关键词： All-fiber Yb fiber frequency comb dispersion compensator

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Ambient Backscatter communications over NOMA Downlink Channels

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China communications 2020年第6期17卷 80-100页

作者： Weiyu Chen Haiyang Ding Shilian Wang Daniel Benevides daCosta Fengkui Gong Pedro Henrique Juliano Nardelli College of Electronic Science and Technology National University of Defense TechnologyChangsha 410073China College of Information and Communication National University of Defense TechnologyXi’an 710106China Department of Computer Engineering Federal University of CearáSobral 62010-560Brazil State Key Laboratory of Integrated Service Networks Xidian UniversityXi’an 710071China School of Energy Systems Lappeenranta University of TechnologyLappeenranta 53850Finland

In this paper,we investigate the performance of commensal ambient backscatter communications(AmBC)that ride on a non-ortho go nal multiple access(NOMA)downlink transmission,in which a backscatter device(BD)splits part of its received signals from the base station(BS)for energy harvesting,and backscatters the remaining received signals to transmit information to a cellular ***,under the power consumption constraint at BD and the peak transmit power constraint at BS,we derive the optimal reflection coefficient at BD,the optimal total transmit power at BS,and the optimal power allocation at BS for each transmission block to maximize the ergodic capacity of the ambient backscatter transmission on the premise of preserving the outage performance of the NOMA downlink ***,we consider a scenario where the BS is restricted by a maximum allowed average transmit power and the reflection coefficient at BD is fixed due to BD’s low-complexity *** algorithm is developed to determine the optimal total transmit power and power allocation at BS for this ***,a low-complexity algorithm is proposed for this scenario to reduce the computational complexity and the signaling ***,the performance of the derived solutions are studied and compared via numerical simulations.

关键词： power-domain NOMA ambient backscatter communications IoT wireless-powered devices optimization

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A review:Photonics devices,architectures,and algorithms for optical neural computing

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Journal of Semiconductors 2021年第2期42卷 64-79页

作者： Shuiying Xiang Yanan Han Ziwei Song Xingxing Guo Yahui Zhang Zhenxing Ren Suhong Wang Yuanting Ma Weiwen Zou Bowen Ma Shaofu Xu Jianji Dong Hailong Zhou Quansheng Ren Tao Deng Yan Liu Genquan Han Yue Hao State Key Laboratory of Integrated Service Networks Xidian UniversityXi'an 710071China State Key Discipline Laboratory of Wide Bandgap Semiconductor Technology School of MicroelectronicsXidian UniversityXi’an 710071China State Key Laboratory of Advanced Optical Communication Systems and Networks Intelligent Microwave Lightwave Integration Innovation Center(iMLic)Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China Wuhan National Laboratory for Optoelectronics School of Optical and Electronic InformationHuazhong University of Science and TechnologyWuhan 430074China School of Electronics Engineering and Computer Science Peking UniversityBeijing 100871China School of Physical Science and Technology Southwest UniversityChongqing 400715China

The explosive growth of data and information has motivated various emerging non-von Neumann computational approaches in the More-than-Moore *** neuromorphic computing has attracted lots of attention due to the fascinating advantages such as high speed,wide bandwidth,and massive ***,we offer a review on the optical neural computing in our research groups at the device and system *** photonics neuron and photonics synapse plasticity are *** addition,we introduce several optical neural computing architectures and algorithms including photonic spiking neural network,photonic convolutional neural network,photonic matrix computation,photonic reservoir computing,and photonic reinforcement ***,we summarize the major challenges faced by photonic neuromorphic computing,and propose promising solutions and perspectives.

关键词： photonics neuron photonic STDP photonic spiking neural network optical reservoir computing optical convolutional neural network neuromorphic photonics

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Deployment Model and Performance Analysis of Clustered D2D Caching networks under Cluster-Centric Caching Strategy

Deployment Model and Performance Analysis of Clustered D2D C...

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作者： Ma, Zhonggui Nuermaimaiti, Nuerxiati Zhang, Haijun Zhou, Huan Nallanathan, Arumugam Institute of Artificial Intelligence School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology Beijing Beijing100083 China Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services University of Science and Technology Beijing Beijing100083 China College of Computer and Information Technology China Three Gorges University Yichang443002 China School of Electronic Engineering and Computer Science Queen Mary University of London LondonE14NS United Kingdom

Device-to-Device (D2D) communication has become a promising candidate in future cellular networks to improve spectrum efficiency and energy efficiency, while reducing the latency. As the capacity of D2D user equipments (DUEs) increases, it makes DUEs caching possible, and it can offload traffic from macro base stations, perform computation-intensive and latency-critical tasks. In this paper, in-band communication is considered, and the Poisson cluster process is utilized to model and analyze the clustered D2D networks under cluster-centric caching strategy. Firstly, we use the Thomas cluster process to model cellular user equipments (CUEs) and DUEs, and give a deployment scheme of clustered D2D caching networks. Secondly, the aggregated interference of the typical D2D receiver is analyzed in the clustered D2D networks. Then the Laplace transform of the aggregated interference is analyzed, and the expressions of coverage probability, average achievable rate and cache hit probability of the typical D2D receiver are deduced. The simulation results show that we can adjust the path loss exponent, densities of DUEs and CUEs, transmitting power of CUEs, mean of simultaneously active transmitters in each cluster and Zipf exponent to improve the performance of clustered D2D caching networks. © 2020 IEEE.

关键词： Laplace transforms

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Wavelength attack on atmospheric continuous-variable quantum key distribution

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Physical Review A 2021年第1期103卷 012417-012417页

作者： Xin Tan Ying Guo Ling Zhang Jingzheng Huang Jinjing Shi Duan Huang School of Automation Central South University Changsha 410083 China School of Computer Science and Engineering Central South University Changsha 410083 China State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Laboratory on Navigation and Location-based Service Center of Quantum Information Sensing and Processing Shanghai Jiao Tong University Shanghai 200240 China

Recently, several practical wavelength attacks on continuous-variable quantum key distribution (CVQKD) were proposed based on the wavelength-dependent property of a beam splitter in Bob's station. These attack schemes are limited to the fiber channel systems with a relatively stable transmittance. However, unlike the fiber channel, the transmittance of the atmospheric channel is complex and fluctuates dramatically in time, which may invalidate the attack equations that must be satisfied in the optical fiber channel. In this paper, we propose two wavelength attack schemes against complex atmospheric CVQKD systems and formulize the two schemes based on the parameter estimation method. To verify the feasibility and availability of this attack, we deduce the success criteria for the two attack schemes. By numerical analysis, our attack schemes are proved to be feasible in the permitted parameter regimes. The secret key rate and propagation distance of CVQKD can be further overestimated by selecting the condition parameters effectively. Moreover, we discuss the possible prevention countermeasures to resist these attack schemes. The proposed method will fill the gap of wavelength attack for the implementation of practical atmospheric CVQKD.

关键词： Quantum channels Quantum information processing with continuous variables

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Photonic-based fully integrated microwave instantaneous frequency measurement

Photonic-based fully integrated microwave instantaneous freq...

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Asia communications and Photonics Conference and Exhibition (ACP)

作者： Yuansheng Tao Zihan Tao Haowen Shu Ming Jin Xingjun Wang State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University Beijing China Frontier Science Center for Nano-optoelectronics Peking University Beijing China Peking University Yangtze Delta Institute of Optoelectronics Nantong China Peng Cheng Laboratory Shenzhen China

We demonstrate the first photonic-based fully integrated microwave instantaneous frequency measurement system, showing a wideband measurement range of 2–34 GHz and an ultralow estimation error of 10.85 MHz.

ISBN: (纸本)9781957171005

关键词： Microwave measurement Estimation error Electronic warfare Measurement uncertainty Asia Microwave communication Frequency estimation

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