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arXiv 2024年

作者： Gündüz, Deniz Wigger, Michèle A. Tung, Tze-Yang Zhang, Ping Xiao, Yong The Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2BT United Kingdom LTCI Telecom Paris IP Paris Palaiseau91120 France The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China The School of Electronic Information and Communications The Huazhong University of Science and Technology Wuhan430074 China The Peng Cheng Laboratory Guangdong Shenzhen518055 China Guangdong Guangzhou510555 China

Semantic- and task-oriented communication has emerged as a promising approach to reducing the latency and bandwidth requirements of next-generation mobile networks by transmitting only the most relevant information needed to complete a specific task at the receiver. This is particularly advantageous for machine-oriented communication of high data rate content, such as images and videos, where the goal is rapid and accurate inference, rather than perfect signal reconstruction. While semantic- and task-oriented compression can be implemented in conventional communication systems, joint source-channel coding (JSCC) offers an alternative end-to-end approach by optimizing compression and channel coding together, or even directly mapping the source signal to the modulated waveform. Although all digital communication systems today rely on separation, thanks to its modularity, JSCC is known to achieve higher performance in finite blocklength scenarios, and to avoid cliff and the levelling-off effects in time-varying channel scenarios. This article provides an overview of the information theoretic foundations of JSCC, surveys practical JSCC designs over the decades, and discusses the reasons for their limited adoption in practical systems. We then examine the recent resurgence of JSCC, driven by the integration of deep learning techniques, particularly through DeepJSCC, highlighting its many surprising advantages in various scenarios. Finally, we discuss why it may be time to reconsider today's strictly separate architectures, and reintroduce JSCC to enable high-fidelity, low-latency communications in critical applications such as autonomous driving, drone surveillance, or wearable systems. © 2024, CC BY.

关键词： Channel coding

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Standard symmetrized variance with applications to coherence, uncertainty and entanglement

arXiv

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arXiv 2022年

作者： Zhao, Ming-Jing Zhang, Lin Fei, Shao-Ming School of Science Beijing Information Science and Technology University Beijing100192 China State key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China Institute of Mathematics Hangzhou Dianzi University Hangzhou310018 China School of Mathematical Sciences Capital Normal University Beijing100048 China Max-Planck-Institute for Mathematics in the Sciences Leipzig04103 Germany

Variance is a ubiquitous quantity in quantum information theory. Given a basis, we consider the averaged variances of a fixed diagonal observable in a pure state under all possible permutations on the components of the pure state and call it the symmetrized variance. Moreover we work out the analytical expression of the symmetrized variance and find that such expression is in the factorized form where two factors separately depends on the diagonal observable and quantum state. By shifting the factor corresponding to the diagonal observable, we introduce the notion named the standard symmetrized variance for the pure state which is independent of the diagonal observable. We then extend the standard symmetrized variance to mixed states in three different ways, which characterize the uncertainty, the coherence and the coherence of assistance, respectively. These quantities are evaluated analytically and the relations among them are established. In addition, we show that the standard symmetrized variance is also an entanglement measure for bipartite systems. In this way, these different quantumness of quantum states are unified by the variance. © 2022, CC BY.

关键词： Quantum entanglement

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Complexity analysis of weakly noisy quantum states via quantum machine learning

arXiv

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arXiv 2023年

作者： Wu, Yusen Wu, Bujiao Song, Yanqi Yuan, Xiao Wang, Jingbo B. Department of Physics The University of Western Australia PerthWA6009 Australia Dahlem Center for Complex Quantum Systems Freie Universität Berlin Berlin14195 Germany Center on Frontiers of Computing Studies Peking University Beijing100871 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China

Quantum computers capable of fault-tolerant operation are expected to provide provable advantages over classical computational models. However, the question of whether quantum advantages exist in the noisy intermediate-scale quantum era remains a fundamental and challenging problem. The root of this challenge lies in the difficulty of exploring and quantifying the power of noisy quantum states. In this work, we focus on the complexity of weakly noisy states, which we define as the size of the shortest quantum circuit required to prepare the noisy state. To analyze this complexity, we first establish a general relationship between circuit depth, noise model, and purity. Based on this necessary condition, we propose a quantum machine learning (QML) algorithm that exploits the intrinsic-connection property of structured quantum neural networks. The proposed QML algorithm enables efficiently predicting the complexity of weakly noisy states from measurement results, representing a paradigm shift in our ability to characterize the power of noisy quantum computation. © 2023, CC BY.

关键词： Complex networks

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Optimal resource allocation for delay minimization in NOMA-MEC networks

arXiv

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arXiv 2020年

作者： Fang, Fang Xu, Yanqing Ding, Zhiguo Shen, Chao Peng, Mugen Karagiannidis, George K. Department of Engineering Durham University DurhamDH1 3LE United Kingdom School of Electrical and Electronic Engineering University of Manchester M13 9PL United Kingdom State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China Group Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki54124 Greece

Multi-access edge computing (MEC) can enhance the computing capability of mobile devices, while non-orthogonal multiple access (NOMA) can provide high data rates. Combining these two strategies can effectively benefit the network with spectrum and energy efficiency. In this paper, we investigate the task delay minimization in multi-user NOMA-MEC networks, where multiple users can offload their tasks simultaneously through the same frequency band. We adopt the partial offloading policy, in which each user can partition its computation task into offloading and locally computing parts. We aim to minimize the task delay among users by optimizing their tasks partition ratios and offloading transmit power. The delay minimization problem is first formulated, and it is shown that it is a nonconvex one. By carefully investigating its structure, we transform the original problem into an equivalent quasi-convex. In this way, a bisection search iterative algorithm is proposed in order to achieve the minimum task delay. To reduce the complexity of the proposed algorithm and evaluate its optimality, we further derive closed-form expressions for the optimal task partition ratio and offloading power for the case of two-user NOMA-MEC networks. Simulations demonstrate the convergence and optimality of the proposed algorithm and the effectiveness of the closed-form analysis. Copyright © 2020, The Authors. All rights reserved.

关键词： Energy efficiency

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Design of high-speed network intrusion detection system architecture

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Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of technology 2009年第SUPPL. 1期41卷 198-200页

作者： Yao, Wen-Bin Wang, Cong Liu, Jian-Yi Si, Yan-Fang Yang, Yi-Xian National Engineering Laboratory for Disaster Backup and Recovery Beijing 100876 China Information Security Center State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China Department of Computer Science and Technology Harbin Engineering University Harbin 150001 China

Parallel approach is an important way to improve the performance of networked based intrusion detection system. A parallel architecture of intrusion detection system based on the ideas of combining twice data-flow partition with real-time load balancing feedback is presented. The components of data-flow partition and its optimized algorithm are designed and implemented. The experiment shows that the architecture may have higher speed and lower packet loss in high-speed network circumstance. Thus, it may raise the speed of data transmission and improve the efficiency of parallel intrusion detection.

关键词： Intrusion detection

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Angular-Distance Based Channel Estimation for Holographic MIMO

arXiv

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arXiv 2023年

作者： Chen, Yuanbin Wang, Ying Wang, Zhaocheng Han, Zhu The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China The Beijing National Research Center for Information Science and Technology Department of Electronic Engineering Tsinghua University Beijing100084 China The Department of Electrical and Computer Engineering in The University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of

Leveraging the concept of the electromagnetic signal and information theory, holographic multiple-input multiple-output (MIMO) technology opens the door to an intelligent and endogenously holography-capable wireless propagation environment, with their unparalleled capabilities for achieving high spectral and energy efficiency. Less examined are the important issues such as the acquisition of accurate channel information by accounting for holographic MIMO’s peculiarities. To fill this knowledge gap, this paper investigates the channel estimation for holographic MIMO systems by unmasking their distinctions from the conventional one. Specifically, we elucidate that the channel estimation, subject to holographic MIMO’s electromagnetically large antenna arrays, has to discriminate not only the angles of a user/scatterer but also its distance information, namely the three-dimensional (3D) azimuth and elevation angles plus the distance (AED) parameters. As the angular-domain representation fails to characterize the sparsity inherent in holographic MIMO channels, the tightly coupled 3D AED parameters are firstly decomposed for independently constructing their own covariance matrices. Then, the recovery of each individual parameter can be structured as a compressive sensing (CS) problem by harnessing the covariance matrix constructed. This pair of techniques contribute to a parametric decomposition and compressed deconstruction (DeRe) framework, along with a formulation of the maximum likelihood estimation for each parameter. Then, an efficient algorithm, namely DeRe-based variational Bayesian inference and message passing (DeRe-VM), is proposed for the sharp detection of the 3D AED parameters and the robust recovery of sparse channels. Finally, the proposed channel estimation regime is confirmed to be of great robustness in accommodating different channel conditions, regardless of the near-field and far-field contexts of a holographic MIMO system, as well as an improved per

关键词： Channel estimation

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Planning Approach for Cross-Regional Optical Transmission Network Supporting Wide-Area Stability Control Services in Power System

Planning Approach for Cross-Regional Optical Transmission Ne...

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IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)

作者： Bin Chen Wenjing Li Peng Yu Qiang Zhang Dan Jin Geng Zhang Yang Wang State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing People's Republic of China Beijing SmartChip Microelectronics Company Limited Beijing People's Republic of China GanSu Electric Power Corporation Gansu People's Republic of China China Electric Power Research Institute Beijing People's Republic of China

Present optical transmission communication network which supporting stability control services in the power system cannot meet the requirements of real-time, cross-regional wide-area safety and stability control, it is necessary to plan new communication links between regions on the basis of existing communication networks. In order to ensure that the extension of existing communication network can satisfy the low latency and high economic needs, an optimal planning approach is proposed, which considers both network construction cost and average latency of inter-regional communication, moreover, the interconnection constraint on site having different voltage levels is taken into account, which meets the requirements of the existing network. On this basis, the multi-objective optimization model of the optical transmission network planning problem is established, and then the problem is solved through the improved genetic algorithm. Finally, the simulation results show that the proposed method can give effective planning scheme for different site level constraints.

关键词： Planning Biological cells Optical fiber networks Power system stability Communication networks Stability analysis Integrated optics

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Distributed Energy Optimization for Mobile Networks Using Potential Games

Distributed Energy Optimization for Mobile Networks Using Po...

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IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Zhizongkai Wang Hanfei Wang Zhongji Wang Yilin Xiao Yunzhi Zhao Xiaowen Li Xufeng Chen Lin Gao Fen Hou Jianwei Huang School of Electronics and Information Engineering and the Guangdong Provincial Key Laboratory of Aerospace Communication and Networking Technology Harbin Institute of Technology Shenzhen Guangdong P.R. China School of Science and Engineering Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen Key Laboratory of Crowd Intelligence Empowered Low-Carbon Energy Network and CSIJRI Joint Research Centre on Smart Energy Storage The Chinese University of Hong Kong Shenzhen Guangdong P.R. China Department of Electrical and Computer Engineering State Key Laboratory of IoT for Smart City University of Macau Macau SAR P.R. China Huawei Technologies P.R. China

ISBN: (数字)9798350363999

ISBN: (纸本)9798350364002

The rapid advancement of information and communication technology (ICT) has made the industry a significant contributor to global carbon emissions. As the foundation of ICT, next-generation mobile communication networks aim to be more powerful and energy-efficient. However, optimizing energy efficiency in real networks is challenging due to large-scale, multi-layer control variables and the dynamic environment. This paper addresses the energy efficiency optimization problem from a network perspective by controlling cross-layer variables including both cell activation status and cell priority, to minimize overall network energy consumption while ensuring user quality-of-experience, which poses an NP-hard mixed-integer nonlinear programming problem. To tackle this, we propose a non-cooperative game where each cell acts as a player, optimizing its activation status and reference signal transmission power (determining its priority). We show that the game is a potential game, guaranteeing the existence of Nash equilibrium and the convergence of simple distributed algorithms towards Nash equilibrium. We further show that the Nash equilibrium points of the game can (but not always) reach the global optimal energy efficiency. Simulation results show that our proposed method can reduce the total system cost (including both energy consumption cost and user experience loss) by up to 28% compared to existing methods in the literature. Moreover, the performance loss of our proposed method, compared to the global optimal solution, is less than 13.7%. In summary, this work offers a realistic network model, introduces a novel game-based method, and provides extensive performance evaluation, making a significant contribution to both industry and academia.

关键词： Industries Energy consumption Costs Simulation Games Nash equilibrium Energy efficiency Information and communication technology Distributed algorithms Optimization

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Secrecy analysis of ambient backscatter NOMA systems under I/Q imbalance

arXiv

引用

arXiv 2020年

作者： Li, Xingwang Zhao, Mengle Liu, Yuanwei Li, Lihua Ding, Zhiguo Nallanathan, Arumugam School of Physics and Electronic Information Engineering Henan Polytechnic University Jiaozuo China School of Electronic Engineering and Computer Science Queen Mary University of London London UK London United Kingdom State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications China School of Electrical and Electronic Engineering University of Manchester Manchester United Kingdom

We investigate the reliability and security of the ambient backscatter (AmBC) non-orthogonal multiple access (NOMA) systems, where the source aims to communication with two NOMA users in the presence of an eavesdropper. We consider a more practical case that nodes and backscatter device (BD) suffer from in-phase and quadrature-phase imbalance (IQI). More specifically, exact analytical expressions for the outage probability (OP) and the intercept probability (IP) are derived in closed-form. Moreover, the asymptotic behaviors and corresponding diversity orders for the OP are discussed. Numerical results show that: 1) Although IQI reduces the reliability, it can enhance the security. 2) Compared with the traditional orthogonal multiple access (OMA) system, the AmBC-NOMA system can obtain better reliability when the signal-to-noise (SNR) ratio is low;3) There are error floors for the OP because of the reflection coefficient β. Copyright © 2020, The Authors. All rights reserved.

关键词： Backscattering

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Destination-Driven On-Demand Multicast Routing Protocol for Wireless Ad Hoc Networks

Destination-Driven On-Demand Multicast Routing Protocol for ...

引用

IEEE International Conference on Communications (ICC)

作者： K. Tian B. Zhang H. Mouftah Z. Zhao J. Ma State key Laboratory of Networking & Switching Technology Beijing University of Posts and Telecommunications Beijing China College of Computer & Communication Engineering Graduate University Chinese Academy and Sciences Beijing China College of Computer & Communication Engineering Graduate University Chinese Academy and Sciences Shanghai China SITE University of Ottawa Ottawa ONT Canada Nokia Research Center Beijing China

In this paper, we design a destination-driven on-demand multicast routing protocol for wireless ad hoc networks. The design objective is to improve the multicast forwarding efficiency. To achieve this goal, the path to reach a multicast destination is biased towards those paths passing through another multicast destination. If multiple such choices are available, the one leading to the least extra cost is selected. Our protocol embeds this destination-driven feature into the on-demand multicast structure building process of an existing multicast protocol ODMRP. Detailed protocol design descriptions are provided. Simulation results show that our protocol can greatly improve the forwarding efficiency as compared with ODMRP. Moreover, our destination-driven design can also work well with other existing multicast routing protocols for wireless ad hoc networks.

关键词： Multicast protocols Routing protocols Mobile ad hoc networks Costs Buildings Multicast algorithms Communications Society Educational institutions Telecommunication switching Communication switching

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