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arXiv 2020年

作者： Lyu, Bin Ramezani, Parisa Hoang, Dinh Thai Gong, Shimin Yang, Zhen Jamalipour, Abbas Key Laboratory of Ministry of Education in Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing210003 China School of Electrical and Information Engineering University of Sydney SydneyNSW2006 Australia School of Electrical and Data Engineering University of Technology Sydney SydneyNSW2007 Australia School of Intelligent Systems Engineering Sun Yat-sen University Guangzhou510275 China

This paper proposes a hybrid-relaying scheme empowered by a self-sustainable intelligent reflecting surface (IRS) in a wireless powered communication network (WPCN), to simultaneously improve the performance of downlink energy transfer (ET) from a hybrid access point (HAP) to multiple users and uplink information transmission (IT) from users to the HAP. We propose time-switching (TS) and power-splitting (PS) schemes for the IRS, where the IRS can harvest energy from the HAP’s signals by switching between energy harvesting and signal reflection in the TS scheme or adjusting its reflection amplitude in the PS scheme. For both the TS and PS schemes, we formulate the sum-rate maximization problems by jointly optimizing the IRS’s phase shifts for both ET and IT and network resource allocation. To address each problem’s non-convexity, we propose a two-step algorithm, where the formulated problem is decoupled into two sub-problems and each sub-problem can be solved separately in an efficient way. To show the structure of resource allocation, we also investigate sub-optimal solutions for the schemes with random phase shifts. Through numerical results, we show that our proposed schemes can achieve over hundred times sum-rate gain compared to the baseline scheme without IRS. Copyright © 2020, The Authors. All rights reserved.

关键词： Energy transfer

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Multiple pulses phase-matching quantum key distribution

arXiv

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arXiv 2019年

作者： Chen, Gang Wang, Le Li, Wei Mao, Qianping Shen, Zhigang Zhao, Shengmei Gruska, Jozef Nanjing210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing210003 China Faculty of Informatics Masaryk University Botanická 68a Brno60200 Czech Republic

We propose a multiple pulses phase-matching quantum key distribution protocol (MPPM-QKD) to exceed the linear key rate bound and to achieve higher error tolerance. In our protocol, Alice and Bob generate at first their own train pulses (each train should contain L pulses) as well as random bit sequences, and also encode each pulse of their trains with a randomized phase and a modulation phase. As the next step, both encoded trains are simultaneously sent to Charlie, who performs an interference detection and may be also an eavesdropper. After a successful detection is announced by Charlie, Alice and Bob open the randomized phase of each pulse and keep only communications when the summation of the difference randomized phases at two success detection's time-stamps for Alice and Bob are equal to 0 or π. Thereafter, Alice and Bob compute the sifted key with the time-stamps. The above procedure is repeated until both Alice and Bob achieve sufficiently long sifted keys. We can also show that the secret key rate of the proposed QKD protocol can beat the rate-loss limit of so far known QKD protocols when the transmission distance is greater than 250 km. Moreover, the proposed protocol has a higher error tolerance, approximately 24%, when the transmission distance is 50 km and L = 128. The secret key rate and the transmission distance of our protocol are superior to that of the round-robin differential-phase-shift quantum key distribution protocol [6], and also of the measurement-device-independent quantum key distribution protocol [4], and the secret key rate performance is better in both cases than that of phase-matching quantum key distribution when bit train length is greater than 32. Copyright © 2019, The Authors. All rights reserved.

关键词： Phase matching

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On Least Squares Weighted Recursive Estimation of Clock Skew and Offset in wireless sensor networks

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Chinese Journal of Electronics 2017年第5期26卷 1041-1047页

作者： HU Bing SUN Zhixin Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications

Three clock synchronization algorithms for wireless sensor networks(WSNs) in Pairwise broadcast synchronization(PBS) mechanism are *** include the joint Least squares estimator(LS),joint Least squares weighted estimator(LSW) and joint Least squares weighted Recursive estimator(R-LSW).For these estimators,the corresponding algorithms are derived and described by assuming a Gaussian random delay *** PBS,these estimators can achieve the Cramer-Rao lower bound(CRLB) for both listening node and active node without knowledge of the deterministic *** purpose of considering R-LSW is to reduce the use of storage space with the method of estimating while *** and analytical results verify that the estimators are efficient.

关键词： Clock synchronization wireless sensor networks(WSNs) Pairwise broadcast synchronization(PBS) Least squares estimator(LS)

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A Siamese network Tracking Algorithm Based on Hierarchical Attention Mechanism

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Journal of Physics: Conference Series 2021年第1期1828卷

作者： Hu Zhang Dong Hu Yingcan Qiu Jiangsu Province's Key Lab of Image Procession and Image Communications Nanjing 210003 China Nanjing University of Posts and Telecommunications Nanjing 210003 China Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing 210003 China Education Ministry's Engineering Research Center of Ubiquitous Network and Heath Service Nanjing 210003 China

A siamese network tracking algorithm based on hierarchical attention mechanism is proposed in this paper. In order to obtain more robust target tracking results, different layer features are fused effectively. In the process of extracting features, attention mechanism is used to recalibrate the feature map, and AdaBoost algorithm is used to weight the target feature map, which improves the reliability of the response map. Besides, the Inception module is also introduced which not only increases the width of the network and the adaptability of the siamese network to the scale, but also reduces the parameters and improves the speed of network training. Experimental results show that this method can effectively solve the impact of background clutter and improve the accuracy of tracking.

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Vehicle Color Recognition Based on Superpixel Features

Vehicle Color Recognition Based on Superpixel Features

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2019第十一届数字图像处理国际会议

作者： Qiuli Lin Feng Liu Qiang Zhao Ran Xu Jiangsu Province Key Lab on Image Processing & Image Communications Nanjing University of Posts and Telecommunications College of Educational Science and Technology Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications

In this paper,a novel methodology is presented to settle the region of interest(ROI) detection problem in vehicle color recognition so as to remove the redundant components of vehicles that interfere greatly with color *** order to make full use of the local color and spatial information,vehicle images are divided into different superpixels at *** spatial relationship between superpixels and the outermost pixels is then used for the background removal of vehicle *** comparing with the vehicle window clustering centroids obtained by k-means,the superpixels close to the universal color characteristics of windows are removed so that the dominant color superpixels are ***,a linear Support Vector Machine classifier is trained for color *** experiments demonstrate that the proposed methodology is effective for color region of interest detection and thus contribute to vehicle color recognition.

关键词： vehicle color recognition region of interest superpixel universal color characteristics Support Vector Machine

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Anchored Neighborhoods Search Based on Global Dictionary Atoms for Face Photo-Sketch Synthesis

Anchored Neighborhoods Search Based on Global Dictionary Ato...

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2019第十一届数字图像处理国际会议

作者： Feng Liu Ran Xu Jieying Zheng Qiuli Lin Zongliang Gan College of Educational Science and Technology Nanjing University of Posts and Telecommunications Jiangsu Province Key Lab on Image Processing & Image Communications Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications

Example-based face sketch synthesis technology generally requires face photo-sketch images with face alignment and size *** break through the limitation,we propose a global face sketch synthesis method:In training,all training photo-sketch patch pairs are collected together and a photo feature dictionary is learned from the photo *** each atom of the dictionary,its K closest photo-sketch patch pairs are clustered,namely "Anchored Neighborhood".In testing,for each test photo patch,we search its nearest photo patch in the Anchored Neighborhood determined by its closest atom,then the corresponding sketch patch is the *** the same way,we train and test in the high-frequency domain and synthesis the high-frequency ***,the fusion of the initial and the high-frequency results is the final *** experiments on three public face sketch datasets and various real-world photos demonstrate the effectiveness and robustness of the proposed method.

关键词： Face sketch synthesis Dictionary learning Dictionary atom Anchored neighborhood Image patch

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Security-Reliability Tradeoff Analysis of Spectrum-Sharing Aided Satellite-Terrestrial networks

Security-Reliability Tradeoff Analysis of Spectrum-Sharing A...

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IEEE Globecom Workshops

作者： Xiaojin Ding Gengxin Zhang Dexin Qu Tiecheng Song Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China National Mobile Communications Research Laboratory Southeast University Nanjing China

ISBN: (数字)9781728109602

ISBN: (纸本)9781728109619

In this paper, we investigate the physical-layer security of a spectrum-sharing aided satellite-terrestrial integrated network comprised of a pair of satellite system and terrestrial system, which can utilize the shared spectrum in the presence of an eavesdropper. We propose a specifically designed satellite scheduling scheme to guarantee wireless transmission of the satellite system against eavesdropping attacks in the face of co-channel interference generated by the terrestrial communication system, where the specifically designed satellite scheduling scheme is represented by multi-satellite scheduling (MSS). We analyze the security-reliability tradeoff (SRT) of the MSS scheme, where the security and the reliability are characterized by the intercept probability and the outage probability, respectively. For comparison purposes, we also provide the SRT analysis of the round-robin satellite scheduling (RSS) scheme. In addition, numerical SRT results demonstrate that the proposed MSS scheme significantly outperform the RSS scheme in terms of their SRT.

关键词： Satellite broadcasting Silicon Satellites Security wireless communication Interference Scheduling

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Optimization-driven hierarchical learning framework for wireless powered backscatter-aided relay communications

arXiv

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arXiv 2020年

作者： Gong, Shimin Zou, Yuze Xu, Jing Thai Hoang, Dinh Lyu, Bin Niyato, Dusit School of Intelligent Systems Engineering Sun Yat-sen University Guangzhou510275 China School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan430074 China Faculty of Engineering and Information Technology University of Technology Sydney UltimoNSW2007 Australia Key Laboratory of Ministry of Education in Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing210003 China School of Computer Science and Engineering Nanyang Technological University Singapore

In this paper, we employ multiple wireless-powered relays to assist information transmission from a multi-antenna access point to a single-antenna receiver. The wireless relays can operate in either the passive mode via backscatter communications or the active mode via RF communications, depending on their channel conditions and energy states. We aim to maximize the overall throughput by jointly optimizing the access point’s beamforming and the relays’ radio modes and operating parameters. Due to the non-convex and combinatorial structure, we develop a novel optimization-driven hierarchical deep deterministic policy gradient (H-DDPG) approach to adapt the beamforming and relay strategies dynamically. The optimization-driven H-DDPG algorithm firstly decomposes the binary relay mode selection into the outer-loop deep Q-network (DQN) algorithm and then optimizes the continuous beamforming and relaying parameters by using the inner-loop DDPG algorithm. Secondly, to improve the learning efficiency, we integrate the model-based optimization into the DDPG framework by providing a better-informed target estimation for DNN training. Simulation results reveal that these two special designs ensure a more stable learning and achieve a higher reward performance, up to nearly 20%, compared to the conventional DDPG approach. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep learning

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Deep reinforcement learning for smart home energy management

arXiv

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arXiv 2019年

作者： Yu, Liang Xie, Weiwei Xie, Di Zou, Yulong Zhang, Dengying Sun, Zhixin Zhang, Linghua Jiang, Tao Key Laboratory of Broadband Wireless Communication Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing210003 Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things School of Internet of Things Nanjing University of Posts and Telecommunications Nanjing210003 Wuhan National Laboratory for Optoelectronics School of Electronics Information and Communications Huazhong University of Science and Technology Wuhan430074

In this paper, we investigate an energy cost minimization problem for a smart home in the absence of a building thermal dynamics model with the consideration of a comfortable temperature range. Due to the existence of model uncertainty, parameter uncertainty (e.g., renewable generation output, non-shiftable power demand, outdoor temperature, and electricity price) and temporally-coupled operational constraints, it is very challenging to determine the optimal energy management strategy for scheduling Heating, Ventilation, and Air Conditioning (HVAC) systems and energy storage systems in the smart home. To address the challenge, we first formulate the above problem as a Markov decision process, and then propose an energy management strategy based on Deep Deterministic Policy Gradients (DDPG). It is worth mentioning that the proposed strategy does not require the prior knowledge of uncertain parameters and building thermal dynamics model. Simulation results based on real-world traces demonstrate the effectiveness and robustness of the proposed strategy. Copyright © 2019, The Authors. All rights reserved.

关键词： Energy management

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Partitioned Controller Placement in SDWANs for Reliability Maximization with Latency Constraints

Partitioned Controller Placement in SDWANs for Reliability M...

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IEEE Globecom Workshops

作者： Kongzhe Yang Bangning Zhang Daoxing Guo Min Lin Tomaso de Cola Communications Engineering College Army Engineering University of PLA Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China Institute of Communications and Navigation Oberpfaffenhofen Germany

ISBN: (数字)9781728109602

ISBN: (纸本)9781728109619

The separation of the control plane from the data plane has made the novel paradigm, Software-Defined networking (SDN), available in both small-scale and large-scale networks. Unlike small-scale networks with merely one controller for deployment, employing multiple controllers is essential to meet the requirements of reliability and scalability in Software- Defined WANs (SDWANs). However, the occurrence of the node or link failures in the control plane may severely deteriorate the system performance. Therefore, how to determine the number and locations of the distributed controllers in SDWANs for enhancing network reliability with propagation latency constraints worth in-depth study. In this paper, we formulate the controller placement problem in SDWANs mathematically and propose a heuristic algorithm with low computational complexity to address it. By incorporating the centroid-based network partition scheme, we further ameliorate the CPP for maximizing reliability with latency constraints. Experiments are performed on real network topologies to validate the effectiveness of our approach for controller placement problem in SDWANs.

关键词： Reliability Switches Partitioning algorithms network topology Measurement Simulated annealing

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