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2018 IEEE Global communications Conference, GLOBECOM 2018

作者： El-Amine, Ali Al Haj Hassan, Hussein Nuaymi, Loutfi IMT-Atlantique Rennes France Department of Computer and Communications Engineering Faculty of Engineering American University of Science and Technology Beirut Lebanon

ISBN: (纸本)9781538647288;9781538647271

In this paper, we study the grid energy consumption of a hybrid energy powered base station system equipped with a renewable source and a battery. We focus on the energy storage element that is prone to irreversible aging mechanisms, thus requiring precise management that takes into account both energy cost and constraints preventing fast battery degradation. We propose a Battery Aging and Price-Aware (BAPA) algorithm that brings down the grid energy consumption of the operator while including battery degradation constraints. We decompose the problem into three subproblems: Resource allocation problem, grid energy purchase problem and power allocation problem. We show that our algorithm performs very close to optimality (up to 99%) and outperforms a benchmark algorithm. © 2018 IEEE.

关键词： Energy utilization

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A modified ćuk converter with constant switching frequency modulated sliding mode control 13

A modified ćuk converter with constant switching frequency ...

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13th IEEE International Conference on Compatibility, Power Electronics and Power engineering, CPE-POWERENG 2019

作者： Ozsoy, Emre Padmanaban, Sanjeevikumar Blaabjerg, Frede Bhaskar, Mahajan Sagar Ahmad, Fiaz Research Development Design Center Danfoss Drives A/S Denmark Department of Energy Technology Aalborg University Esbjerg Denmark Department of Energy Technology Aalborg University Aalborg Denmark Renewable Energy Lab Department of Communications Networks College of Engineering Prince Sultan University Riyadh Saudi Arabia Electrical Engineering National University of Computer Emerging Science5 Peshawar Pakistan

ISBN: (纸本)9781728132020

High output gain ratio demand for DC-DC converters have been increasing in recent years due to diverse integration of various renewable sources and industrial applications. This article focused to provide a detailed analysis of a Cuk converter with increased voltage conversion ratio. The circuit only consists of two inductors, five capacitors and four diodes. In particular, configuration is composed of combination of two different cascaded switched capacitor voltage boost network. The voltage in the output is 29 times higher than the input voltage, if 0.9 duty ratio is used. Further, high gain DC-DC converter control is a challenging task due to higher order and nonlinear characteristics. Standard PI controllers cannot accomplish robust operation for all operation regions. Hence, Sliding Mode Controller (SMC) is a reliable and robust method for high order nonlinear systems due to its robustness and independence from system dynamics and parameter variations. Furthermore, this paper develops a constant switching frequency SMC approach to high gain modified Cuk converter. Comprehensive theoretical analysis is presented and numerically verified using Matlab/Simulink software. © 2019 IEEE.

关键词： Robust control

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Non-Orthogonal Superimposed Pilot for Goodput Enhancement in Digital Semantic Communication

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IEEE Transactions on Cognitive communications and Networking 2025年

作者： Zou, Jian Xiao, Jian Shen, Han Xie, Wenwu Meng, Fanyang Yang, Liang Liang, Yongsheng Shenzhen University College of Applied Technology Shenzhen518060 China Central China Normal University College of Physical Science and Technology Department of Electronics and Information Engineering Wuhan430079 China Harbin Institute of Technology School of Electronics and Information Engineering Shenzhen518055 China Pengcheng Laboratory Research Center of Networks and Communications Shenzhen518060 China Hunan Institute of Science and Technology School of Information Science and Engineering Yueyang414006 China Hunan University College of Computer Science and Electronic Engineering Changsha410082 China Jishou University School of Communication and Electronic Engineering Jishou416000 China Shenzhen Technology University College of Big Data and Internet Shenzhen518118 China Shenzhen University College of Electronics and Information Engineering Shenzhen518060 China

A novel digital semantic communication (D-SemCom) framework is proposed to enhance the adaptability and goodput of multi-user-multiple-input multiple-output (MU-MIMO) orthogonal frequency division multiplexing (OFDM) systems by integrating the non-orthogonal superposition pilot (NOSIP) scheme. However, this introduces challenges, such as inter-user interference, which limit the performance of traditional signal processing methods. To address these challenges, we propose SANet, which realizes the nonlinear mapping of received signals to log-likelihood ratios. SANet leverages a common subspace and a multi-head self-attention mechanism to effectively suppress interference and optimize signal decoding performance. Additionally, SANet addresses the coupling between the semantic encoder-decoder and the channel environment, reducing the dependency on channel variations and enabling the system to adapt more flexibly to different channel and data scenarios. We also introduce an adaptive data augmentation strategy that dynamically adjusts the data representation based on channel conditions, further enhancing the reliability and performance of D-SemCom. Numerical results show that: 1) SANet improves the goodput of D-SemCom by 7.01% compared to traditional approaches;2) the goodput of D-SemCom is improved by 37.15% with the NOSIP scheme compared to the orthogonal pilot scheme;and 3) the effectiveness of the adaptive data augmentation strategy in enhancing D-SemCom performance is validated. © 2025 IEEE.

关键词： Frequency division multiplexing

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Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach

arXiv

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arXiv 2019年

作者： Abdel-Aziz, Mohamed K. Samarakoon, Sumudu Bennis, Mehdi Saad, Walid Centre for Wireless Communications University of Oulu Oulu90014 Finland Department of Computer Engineering Kyung Hee University Yongin446-701 Korea Republic of Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA24061 United States

In this letter, an age of information (AoI)-aware transmission power and resource block (RB) allocation technique for vehicular communication networks is proposed. Due to the highly dynamic nature of vehicular networks, gaining a prior knowledge about the network dynamics, i.e., wireless channels and interference, in order to allocate resources, is challenging. Therefore, to effectively allocate power and RBs, the proposed approach allows the network to actively learn its dynamics by balancing a tradeoff between minimizing the probability that the vehicles’ AoI exceeds a predefined threshold and maximizing the knowledge about the network dynamics. In this regard, using a Gaussian process regression (GPR) approach, an online decentralized strategy is proposed to actively learn the network dynamics, estimate the vehicles’ future AoI, and proactively allocate resources. Simulation results show a significant improvement in terms of AoI violation probability, compared to several baselines, with a reduction of at least 50%. Copyright © 2019, The Authors. All rights reserved.

关键词： Gaussian distribution

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Successive Wyner-Ziv Coding for the Binary CEO Problem under Logarithmic Loss

Successive Wyner-Ziv Coding for the Binary CEO Problem under...

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作者： Nangir, Mahdi Asvadi, Reza Chen, Jun Ahmadian-Attari, Mahmoud Matsumoto, Tad Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran*** Iran Faculty of Electrical and Computer Engineering University of Tabriz Tabriz*** Iran Faculty of Electrical Engineering Shahid Beheshti University Tehran*** Iran Department of Electrical and Computer Engineering McMaster University HamiltonONL8S 4L8 Canada School of Information Science Japan Advanced Institute of Science and Technology Nomi923-1292 Japan Centre for Wireless Communications University of Oulu Oulu90014 Finland

The L -link binary Chief Executive Officer (CEO) problem under logarithmic loss is investigated in this paper. A quantization splitting technique is applied to convert the problem under consideration to a (2L-1) -step successive Wyner-Ziv (WZ) problem, for which a practical coding scheme is proposed. In the proposed scheme, Low-Density Generator-Matrix (LDGM) codes are used for binary quantization while Low-Density Parity-Check (LDPC) codes are used for syndrome generation;the decoder performs successive decoding based on the received syndromes and produces a soft reconstruction of the remote source. The simulation results indicate that the rate-distortion performance of the proposed scheme can approach the theoretical inner bound based on binary-symmetric test-channel models. © 1972-2012 IEEE.

关键词： Electric distortion

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Dual-band PWM for filterless class-D audio amplification 144

Dual-band PWM for filterless class-D audio amplification

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144th Audio engineering Society Convention 2018

作者： Kaleris, Konstantinos Papadakos, Charalampos Mourjopoulos, John Audio and Acoustic Technology Group Wired Communications Laboratory Electrical and Computer Engineering department University of Patras Greece

The benefits of Dual-Band Pulse Width Modulation (DBPWM) are demonstrated for filter-less audio class-D amplifier implementations. DBPWM is evaluated in terms of energy efficiency (thermal loading) and reproduction fidelity for direct driving of loudspeaker units by DBPWM signals. Detailed physical models of low-frequency (woofer) and high-frequency (tweeter) loudspeakers are employed for simulation of the coupling between the DBPWM signal and the electro-mechanical and acoustic properties of loudspeaker systems in the broadband PWM spectral range. Derived frequency responses are used to estimate the reproduced sound signal of the loudspeaker. Equivalent impedance of the speaker’s voice coil is used to estimate thermal loading by the DBPWM signal’s out-of-band spectral energy, comparing standard filtered PWM implementations to the proposed method. © 2018 Audio engineering Society. All Rights Reserved.

关键词： Pulse width modulation

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Dependence Control for Reliability Optimization in Vehicular Networks

Dependence Control for Reliability Optimization in Vehicular...

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IEEE Global communications Conference

作者： Tengchan Zeng Omid Semiari Walid Saad Mehdi Bennis Department of Electrical and Computer Engineering Wireless@VT Virginia Tech Blacksburg VA USA Department of Electrical and Computer Engineering University of Colorado Colorado Springs Colorado Springs CO USA Centre for Wireless Communications University of Oulu Oulu Finland

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Vehicular networks will play an important role in enhancing road safety, improving transportation efficiency, and providing seamless Internet service for users on the road. Reaping the benefit of vehicular networks is contingent upon meeting stringent wireless communication performance requirements, particularly in terms of delay and reliability. In this paper, a dependence control mechanism is proposed to improve the overall reliability of vehicular networks. In particular, the dependence between the communication delays of different vehicle-to-vehicle (V2V) links is first modeled. Then, the concept of a concordance order, stemming from stochastic ordering theory, is introduced to show that a higher dependence can lead to a better reliability. Using this insight, a power allocation problem is formulated to maximize the concordance, thereby optimizing the overall communication reliability of the V2V system. To obtain an efficient solution to the power allocation problem, a dual update method is introduced. Simulation results verify the effectiveness of performing dependence control for reliability optimization in a vehicular network, and show that the proposed mechanism can achieve up to 25% reliability gain compared to a baseline system that uses a random power allocation.

关键词： Delays Reliability theory Resource management Optimization Interference computer network reliability

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Resource Allocation Technique for Hybrid TDMA-NOMA System with Opportunistic Time Assignment

Resource Allocation Technique for Hybrid TDMA-NOMA System wi...

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IEEE International Conference on communications Workshops, ICC

作者： Xinchen Wei Haitham Al-Obiedollah Kanapathippillai Cumanan Miao Zhang Jie Tang Wei Wang Octavia A. Dobre Department of Electronic Engineering University of York York United Kingdom The Hashemite University Jordan School of Electronic and Information Engineering South China University of Technology Guangzhou China School of Information Science and Technology Nantong University Nantong China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China Department of Electrical and Computer Engineering Memorial University St. John's Canada

ISBN: (数字)9781728174402

ISBN: (纸本)9781728174419

In this paper, we develop a resource allocation technique for a hybrid time division multiple access (TDMA) - non-orthogonal multiple access (NOMA) system with opportunistic time assignment. In particular, the available transmission time is divided into several time-slots, through which multiple users are served by exploiting power-domain NOMA. To fully exploit underlying benefits of this hybrid TDMA-NOMA system, we utilize the available resources efficiently by jointly allocating transmit power and time-slots to several groups of users in the system. Furthermore, these resources are allocated to maximize minimum rate of the users in the system. However, this max-min resource allocation problem is non-convex due to coupled design parameters of time and power allocations. Hence, we exploit a novel second-order cone formulation to overcome this non-convexity issue and develop an iterative algorithm to realize a solution to the original max-min problem. Simulation results show that this joint resource allocation technique has a considerable performance enhancement in terms of both minimum achieved rate and overall system throughput compared to that of the conventional resource allocation technique where equal time-slots are assigned to the groups of users.

关键词： Resource management NOMA Silicon carbide Time division multiple access Optimization Linear programming Signal to noise ratio

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Exploiting deep learning for secure transmission in an underlay cognitive radio network

arXiv

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arXiv 2021年

作者： Zhang, Miao Cumanan, Kanapathippillai Thiyagalingam, Jeyarajan Tang, Yanqun Wang, Wei Ding, Zhiguo Dobre, Octavia A. School of Information Science and Engineering Chongqing Jiaotong University Chongqing China Department of Electronic Engineering University of York YorkYO10 5DD United Kingdom Scientific Computing Department of Rutherford Appleton Laboratory Science and Technology Facilities Council Harwell Campus Ditcot United Kingdom School of Electronics and Communication Engineering Sun Yat-Sen University Shenzhen510006 China School of Information Science and Technology Nantong University Nantong China Nantong Research Institute for Advanced Communication Technologies Nantong China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China School of Electrical and Electronic Engineering University of Manchester Manchester United Kingdom Department of Electrical and Computer Engineering Memorial University St. John’sNLA1B 3X5 Canada

This paper investigates a machine learning-based power allocation design for secure transmission in a cognitive radio (CR) network. In particular, a neural network (NN)based approach is proposed to maximize the secrecy rate of the secondary receiver under the constraints of total transmit power of secondary transmitter, and the interference leakage to the primary receiver, within which three different regularization schemes are developed. The key advantage of the proposed algorithm over conventional approaches is the capability to solve the power allocation problem with both perfect and imperfect channel state information. In a conventional setting, two completely different optimization frameworks have to be designed, namely the robust and non-robust designs. Furthermore, conventional algorithms are often based on iterative techniques, and hence, they require a considerable number of iterations, rendering them less suitable in future wireless networks where there are very stringent delay constraints. To meet the unprecedented requirements of future ultra-reliable low-latency networks, we propose an NN-based approach that can determine the power allocation in a CR network with significantly reduced computational time and complexity. As this trained NN only requires a small number of linear operations to yield the required power allocations, the approach can also be extended to different delay sensitive applications and services in future wireless networks. When evaluate the proposed method versus conventional approaches, using a suitable test set, the proposed approach can achieve more than 94% of the secrecy rate performance with less than 1% computation time and more than 93% satisfaction of interference leakage constraints. These results are obtained with significant reduction in computational time, which we believe that it is suitable for future real-time wireless applications. © 2021, CC0.

关键词： Cognitive radio

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A Green Paradigm for Internet of Things: Ambient Backscatter communications

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China communications 2019年第7期16卷 109-119页

作者： Wei Zhang Yao Qin Wenjing Zhao Minzheng Jia Qiang Liu Ruisi He Bo Ai Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology and also with Institute of Telecommunication Satellites China Academy of Space Technology (CAST) Beijing Key Lab of Transportation Data Analysis and Mining Beijing Engineering Research Center of High-Speed Railway Broadband Mobile Communications School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China Department of Information Engineering Beijing Polytechnic College Beijing 100042 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 China

Internet of Things (IoT) has attracted extensive interest from both academia and industries, and is recognized as an ultimate infrastructure to connect everything at anytime and anywhere. The implementation of IoT generally faces the challenges from energy constraint and implementation cost. In this paper, we will introduce a new green communication paradigm, the ambient backscatter (AmBC), that could utilize the environmental wireless signals for both powering a tiny-cost device and backscattering the information symbols. Specifically, we will present the basic principles of AmBC, analyze its features and advantages, suggest its open problems, and predict its potential applications for our future IoT.

关键词： ambient backscatter (AmBC) RF-powered device Internet of Things (IoT) battery-free tag wire-less sensor

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