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arXiv 2020年

作者： Xu, Jiamiao Wang, Fangzhao Peng, Qinmu You, Xinge Wang, Shuo Jing, Xiao-Yuan Philip Chen, C.L. School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan430074 China Shenzhen Huazhong University of Science and Technology Research Institute China State Key Laboratory of Software Engineering School of Computer Wuhan University China Department of Computer and Information Science Faculty of Science and Technology University of Macau 99999 China Dalian Maritime University Dalian116026 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100080 China

Low-rank Multi-view Subspace Learning (LMvSL) has shown great potential in cross-view classification in recent years. Despite their empirical success, existing LMvSL based methods are incapable of well handling view discrepancy and discriminancy simultaneously, which thus leads to the performance degradation when there is a large discrepancy among multi-view data. To circumvent this drawback, motivated by the block-diagonal representation learning, we propose Structured Low-rank Matrix Recovery (SLMR), a unique method of effectively removing view discrepancy and improving discriminancy through the recovery of structured low-rank matrix. Furthermore, recent low-rank modeling provides a satisfactory solution to address data contaminated by predefined assumptions of noise distribution, such as Gaussian or Laplacian distribution. However, these models are not practical since complicated noise in practice may violate those assumptions and the distribution is generally unknown in advance. To alleviate such limitation, modal regression is elegantly incorporated into the framework of SLMR (term it MR-SLMR). Different from previous LMvSL based methods, our MR-SLMR can handle any zero-mode noise variable that contains a wide range of noise, such as Gaussian noise, random noise and outliers. The alternating direction method of multipliers (ADMM) framework and half-quadratic theory are used to efficiently optimize MR-SLMR. Experimental results on four public databases demonstrate the superiority of MR-SLMR and its robustness to complicated noise. Copyright © 2020, The Authors. All rights reserved.

关键词： Gaussian noise (electronic)

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Achievable fixed rate capacity in emerging wireless systems (invited paper) 2

Achievable fixed rate capacity in emerging wireless systems ...

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2nd International Conference on Advanced Communication Technologies and Networking, CommNet 2019

作者： Sofotasios, Paschalis C. Yoo, Seong Ki Muhaidat, Sami Cotton, Simon L. Lopez-Martinez, F. Javier Romero-Jerez, Juan M. Mezher, Kahtan Karagiannidis, George K. Department of Electrical Engineering Tampere University TampereFI-33101 Finland UQeen's University Belfast Institute of Electronics Communications and Information Technology BelfastBT3 9DT United Kingdom University of Surrey Institute for Communication Systems GuildfordGU2 7XH United Kingdom Departmento de Ingenieria de Comunicaciones Universidad de Malaga Campus de Excelencia Internacional Andalucia Tech. Malaga29071 Spain Department of Electrical Engineering and Computer Science Khalifa University Center for Cyber-Physical Systems Abu Dhabi127788 United Arab Emirates Department of Electrical and Computer Engineering Aristotle University of Thessaloniki ThessalonikiGR-51124 Greece

ISBN: (纸本)9781538683170

The F composite fading model was recently proposed as an accurate and tractable statistical model for the characterization of the simultaneous occurrence of multipath fading and shadowing conditions encountered in realistic wireless communication scenarios. In the present contribution we capitalize on the distinct properties of this composite model to derive the achievable capacity over F composite fading channels assuming fixed rate quality of service requirements. To this end, novel exact and tractable analytic expressions are derived for both the exact and the truncated channel inversion strategies. This also enables the derivation of additional simplified approximate and asymptotic expressions for these cases, which provide meaningful insights on the effect of fading conditions on the overall system performance. This is particularly useful in the context of numerous emerging wireless applications of interest that exhibit stringent fixed rate requirements such as vehicular communications, body area networks and telemedicine, among others. © 2019 IEEE.

关键词： Quality of service

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Space-Time Signal Design for Multilevel Polar Coding in Slow Fading Broadcast Channels

Space-Time Signal Design for Multilevel Polar Coding in Slow...

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作者： Khoshnevis, Hossein Marsland, Ian Jafarkhani, Hamid Yanikomeroglu, Halim Department of Systems and Computer Engineering Carleton University OttawaONK1S 5B6 Canada Huawei Technologies Canada Research Centre OttawaONK2K 3J1 Canada Center for Pervasive Communications and Computing University of California at Irvine IrvineCA92697 United States

Slow fading broadcast channels can model a wide range of applications in wireless networks. Due to delay requirements and the unavailability of the channel state information at the transmitter (CSIT), these channels for many applications are non-ergodic. The appropriate measure for designing signals in non-ergodic channels is the outage probability. In this paper, we provide a method to optimize space-time block codes (STBCs) based on the outage probability at moderate SNRs. Multilevel polar coded-modulation is a new class of coded-modulation techniques that benefits from low-complexity decoders and simple rate matching. In this paper, we derive the outage optimality condition for multistage decoding and propose a rule for determining component code rates. We also derive an upper bound on the outage probability of STBCs for designing the set-partitioning-based labeling. Finally, due to the optimality of the outage-minimized STBCs for long codes, we introduce a novel method for the joint optimization of short-to-moderate length polar codes and STBCs. © 1972-2012 IEEE.

关键词： Modulation

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Gradient Coding with Clustering and Multi-message Communication

arXiv

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arXiv 2019年

作者： Ozfatura, Emre Göndöz, Deniz Ulukus, Sennur Information Processing and Communications Lab Dept. of Electrical and Electronic Engineering Imperial College London Department of Electrical and Computer Engineering Institute for Systems Research University of Maryland College Park United States

Gradient descent (GD) methods are commonly employed in machine learning problems to optimize the parameters of the model in an iterative fashion. For problems with massive datasets, computations are distributed to many parallel computing servers (i.e., workers) to speed up GD iterations. While distributed computing can increase the computation speed significantly, the per-iteration completion time is limited by the slowest straggling workers. Coded distributed computing can mitigate straggling workers by introducing redundant computations;however, existing coded computing schemes are mainly designed against persistent stragglers, and partial computations at straggling workers are discarded, leading to wasted computational capacity. In this paper, we propose a novel gradient coding (GC) scheme which allows multiple coded computations to be conveyed from each worker to the master per iteration. We numerically show that the proposed GC with multi-message communication (MMC) together with clustering provides significant improvements in the average completion time (of each iteration), with minimal or no increase in the communication load. Copyright © 2019, The Authors. All rights reserved.

关键词： Gradient methods

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Ultrahigh bandwidth applications of microcombs: Neural networks and optical data transmission

TechRxiv

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TechRxiv 2021年

作者： Moss, David J. Tan, M. Xu, X. Corcoran, B. Wu, J. Boes, A. Nguyen, T. Chu, S. Little, B. Morandotti, R. Mitchell, A. Optical Sciences Centre Swinburne University of Technology HawthornVIC3122 Australia Department of Electrical and Computer Systems Engineering Monash University ClaytonVIC3800 Australia School of Engineering RMIT University MelbourneVIC3001 Australia Department of Physics City University of Hong Kong Tat Chee Avenue Hong Kong Xi’an Institute of Optics and Precision Mechanics Precision Mechanics of CAS Xi’an China INRS-Énergie Matériaux et Télécommunications 1650 Boulevard Lionel-Boulet VarennesQCJ3X 1S2 Canada Inst. of Fundamental and Frontier Sciences University of Electronic Science and Technology of China Chengdu610054 China

We report ultrahigh bandwidth applications of Kerr microcombs to optical neural networks and to optical data transmission, at data rates from 44 Terabits/s (Tb/s) to approaching 100 Tb/s. Convolutional neural networks (CNNs) are a powerful category of artificial neural networks that can extract the hierarchical features of raw data to greatly reduce the network complexity and enhance the accuracy for machine learning tasks such as computer vision, speech recognition, playing board games and medical diagnosis [1-7]. Optical neural networks can dramatically accelerate the computing speed to overcome the inherent bandwidth bottleneck of electronics. We use a new and powerful class of micro-comb called soliton crystals that exhibit robust operation and stable generation as well as a high intrinsic efficiency with an extremely low spacing of 48.9 GHz. We demonstrate a universal optical vector convolutional accelerator operating at 11 Tera-OPS/s (TOPS) on 250,000 pixel images for 10 kernels simultaneously — enough for facial image recognition. We use the same hardware to sequentially form a deep optical CNN with ten output neurons, achieving successful recognition of full 10 digits with 900 pixel handwritten digit images. We also report world record high data transmission over standard optical fiber from a single optical source, at 44.2 Terabits/s over the C-band, with a spectral efficiency of 10.4 bits/s/Hz, with a coherent data modulation format of 64 QAM. We achieve error free transmission across 75 km of standard optical fiber in the lab and over a field trial with a metropolitan optical fiber network. Our work demonstrates the ability of optical soliton crystal micro-combs to exceed other approaches in performance for the most demanding practical optical communications applications. © 2021, CC0.

关键词： Diagnosis

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Performance and robustness assessment of H ∞ active anti-roll bar control system by using a software environment

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IFAC-PapersOnLine 2019年第5期52卷 255-260页

作者： Van Tan Vu Peter Gaspar Department of Automotive Mechanical Engineering University of Transport and Communications Hanoi Vietnam Systems and Control Laboratory Institute for Computer Science and Control Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest Hungary

The active anti-roll bar system has been proven to be one of the most effective solutions to improve roll stability of heavy vehicles. In a previous work, the authors proposed an H ∞ controller for this system. The Genetic Algorithms method was used to handle the vehicle roll stability and the energy consumption of the actuators via the Pareto optimality. This paper aims to assess the overall effectiveness of the proposed controller with nonlinear heavy vehicle models, which are already set up in the TruckSim ® software. The controller is then evaluated in hard conditions to show the high performance and robust with the nonlinearity effects, such as the load distribution between the two axles, the side wind gusts and the abrupt steering. To conduct testing of the H ∞ active anti-roll bar control system, we propose a co-simulation structure between TruckSim ® and Simulink ® : the nonlinear vehicle model is determined from TruckSim ® , based on using the block S-function of Simulink. Meanwhile, the controller and the actuators are built directly in the Matlab/Simulink ® environment. The validation results are made through two different types of heavy vehicles: a tour bus and a truck, using a selection of different velocities and scenarios. The results show that by using the H ∞ active anti-roll bar control system, in comparison to the passive anti roll bar system, roll stability is improved to minimise the risk of vehicle rollover.

关键词： Vehicle dynamics Active anti-roll bar control Rollover H ∞ control, TruckSim ® .

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On the energy and data storage management in energy harvesting wireless communications

arXiv

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arXiv 2019年

作者： Akın, Sami Gursoy, M. Cenk Institute of Communications Technology Leibniz Universität Hannover Hanover30167 Germany Department of Electrical Engineering and Computer Science Syracuse University SyracuseNY13244 United States

Energy harvesting (EH) in wireless communications has become the focus of recent transmission technology studies. Herein, energy storage modeling is one of the crucial design benchmarks that must be treated carefully. Understanding the energy storage dynamics and the throughput levels is essential especially for communication systems in which the performance depends solely on harvested energy. While energy outages should be avoided, energy overflows should also be prevented in order to utilize all harvested energy. Hence, a simple, yet comprehensive, analytical model that can represent the characteristics of a general class of EH wireless communication systems needs to be established. In this paper, invoking tools from large deviation theory along with Markov processes, a firm connection between the energy state of the battery and the data transmission process over a wireless channel is established for an EH transmitter. In particular, a simple exponential approximation for the energy overflow probability is formulated, with which the energy decay rate in the battery as a measure of energy usage is characterized. Then, projecting the energy outages and supplies on a Markov process, a discrete state model is established and an expression for the energy outage probability for given energy arrival and demand processes is provided. Finally, under energy overflow and outage constraints, the average data service (transmission) rate over the wireless channel is obtained and the effective capacity of the system, which characterizes the maximum data arrival rate at the transmitter buffer under quality-of-service (QoS) constraints imposed on the data buffer overflow probability, is derived. Copyright © 2019, The Authors. All rights reserved.

关键词： Queueing theory

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A heuristic for state power down systems with few states 14th

A heuristic for state power down systems with few states

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14th International Conference on Information Technology - New Generations, ITNG 2017

作者： Andro-Vasko, James Bein, Wolfgang Ito, Hiro Pathak, Govind Department of Computer Science University of Nevada Las VegasNV89154 United States School of Informatics and Engineering The University of Electro-Communications Tokyo Japan

ISBN: (纸本)9783319549774

Power-down mechanisms are well known and are widely used to save energy. We consider a device which has states OFF, ON, and a fixed number of intermediate states. The state of the device can be switched at any time. In the OFF state the device consumes zero energy and in ON state it works at its full power consumption. The intermediate states consume only some fraction of energy proportional to the usage time but switching back to the ON state has different constant setup cost depending on the current state. We give a new heuristic to construct optimal power-down systems with few states. The heuristic converges very quickly to an optimal solution. © Springer International Publishing AG 2018.

关键词： Smart power grids

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Optimized age of information tail for ultra-reliable low-latency communications in vehicular networks

arXiv

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arXiv 2019年

作者： Abdel-Aziz, Mohamed K. Samarakoon, Sumudu Liu, Chen-Feng Bennis, Mehdi Saad, Walid Centre for Wireless Communications University of Oulu Oulu90014 Finland Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University BlacksburgVA24061 United States

While the notion of age of information (AoI) has recently been proposed for analyzing ultra-reliable low-latency communications (URLLC), most of the existing works have focused on the average AoI measure. Designing a wireless network based on average AoI will fail to characterize the performance of URLLC systems, as it cannot account for extreme AoI events, occurring with very low probabilities. In contrast, this paper goes beyond the average AoI to improve URLLC in a vehicular communication network by characterizing and controlling the AoI tail distribution. In particular, the transmission power minimization problem is studied under stringent URLLC constraints in terms of probabilistic AoI for both deterministic and Markovian traffic arrivals. Accordingly, an efficient novel mapping between AoI and queue-related distributions is proposed. Subsequently, extreme value theory (EVT) and Lyapunov optimization techniques are adopted to formulate and solve the problem considering both long and short packets transmissions. Simulation results show over a two-fold improvement, in shortening the Copyright © 2019, The Authors. All rights reserved.

关键词： 5G mobile communication systems

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Vector Network Coding Based on Subspace Codes Outperforms Scalar Linear Network Coding

Vector Network Coding Based on Subspace Codes Outperforms Sc...

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作者： Etzion, Tuvi Wachter-Zeh, Antonia Computer Science Department Technion-Israel Institute of Technology Haifa3200003 Israel Institute for Communications Engineering Technical University of Munich Munich80333 Germany

This paper considers vector network coding solutions based on rank-metric codes and subspace codes. The main result of this paper is that vector solutions can significantly reduce the required alphabet size compared to the optimal scalar linear solution for the same multicast network. The multicast networks considered in this paper have one source with h messages, and the vector solution is over a field of size q with vectors of length t. For a given network, let the smallest field size for which the network has a scalar linear solution be qs, then the gap in the alphabet size between the vector solution and the scalar linear solution is defined to be qs-qt. In this contribution, the achieved gap is qh-2)t2/h + o(t) for any q ≥ 2 and any even h ≥ 4. If h ≥ 5 is odd, then the achieved gap of the alphabet size is q(h-3)t2/(h-1) + o(t). Previously, only a gap of size one had been shown for networks with a very large number of messages. These results imply the same gap of the alphabet size between the optimal scalar linear and some scalar nonlinear network coding solution for multicast networks. For three messages, we also show an advantage of vector network coding, while for two messages the problem remains open. Several networks are considered, all of them are generalizations and modifications of the well-known combination networks. The vector network codes that are used as solutions for those networks are based on subspace codes, particularly subspace codes obtained from rank-metric codes. Some of these codes form a new family of subspace codes, which poses a new research problem. © 1963-2012 IEEE.

关键词： Network coding

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