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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), availab.e 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 scalab.lity 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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Three-step three-party quantum secure direct communication

引用

Science China(Physics,Mechanics & Astronomy) 2018年第9期61卷 26-30页

作者： Shan-Shan Chen Lan Zhou Wei Zhong Yu-Bo Sheng Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China College of Mathematics & Physics Nanjing University of Posts and Telecommunications Nanfing 210003 China Key Lab of Broadband Vireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing 210003 China

We propose a three-party quantum secure direct communication(QSDC) protocol with hyperentanglement in both spatial-mode and polarization degrees of freedom. The secret message can be encoded independently with desired unitary operations in two degrees of freedom. In this protocol, a party can synchronously obtain the other two parties' messages. Compared with previous three-party QSDC protocols, our protocol has several advantages. First, the single photons in our protocol are only required to transmit for three times. This advantage makes this protocol simple and useful. Second, Alice and Bob can send different secret messages to Charlie, respectively. Finally, with hyperentanglement, this protocol has a higher information capacity than other protocols.

关键词： quantum communication quantum secure direct communication hyperentanglement

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Efficient passive measurement-device-independent quantum key distribution

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Physical Review A 2019年第5期99卷 052325-052325页

作者： Chun-Hui Zhang Chun-Mei Zhang Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China Broadband Wireless Communication and Sensor Network Technology Key Laboratory of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China Telecommunication and Networks National Engineering Research Center Nanjing University of Posts and Telecommunications Nanjing 210003 China

To date, only active-decoy-state methods have been adopted in current measurement-device-independent (MDI) quantum key distribution (QKD) protocols, causing security loopholes when modulating multiple light intensities with practical devices. To solve this problem, the passive-decoy-state method will be a good choice. Until today practical passive-decoy-state MDI QKD is still missing. In this paper, based on a recently discussed structure of heralded single-photon sources, we propose a passive-decoy-state MDI QKD protocol. In present work, one does not need to modulate light sources into different intensities, but utilizes the built-in local detection events to passively generate different decoy states. Furthermore, through carrying out an appropriate mathematical method, we are able to give very precise estimations for single-photon-pair contributions. As a result, our protocol can exhibit distinct advantages compared with state-of-the-art MDI QKD schemes even when the finite-key-size effect is taken into account. Therefore, our protocol seems a promising candidate to enhance both the security and performance of MDI QKD in practical implementation.

关键词： Quantum cryptography

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A Smart Content Caching and Replacement Scheme for UAV-Assisted Fog Computing network

A Smart Content Caching and Replacement Scheme for UAV-Assis...

引用

International Conference on wireless communications and Signal Processing (WCSP)

作者： Xujie Li Jichang Shen Ying Sun Ziya Wang Xuedong Zheng College of Computer and Information Engineering Hohai University Nanjing China National Mobile Communications Research Laboratory Southeast University Nanjing China Key Lab for Wireless Sensor network and Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China Nanjing China-Spacenet Satellite Telecom Co.Ltd China

ISBN: (数字)9781728172361

ISBN: (纸本)9781728172378

For unmanned aerial vehicle (UAV)-assisted fog computing system, content caching is an effective way to reduce network delay. How to smartly sense the future requirement of the user equipment and cache the contents in advance is a big challenge. Meanwhile, the impact of cache content size and other related factors on cache performance are often overlooked, which results in low cache hit ratio. Therefore, this paper proposes a smart caching and caching replacement scheme based on valuation function of content caching for UAV-assisted fog computing network. Firstly, the effect of the content popularity, content size and availab.e cache storage space on system performance is analysed. Then the valuation function combing these factors is defined. Based on the presented valuation function, a smart content caching and caching replacement scheme for UAV-assisted fog computing network is proposed. Finally, the simulation results validate the effectiveness of the proposed scheme. The scheme can be applied into the design the deployment of the UVA-assisted fog computing network.

关键词： Edge computing Cost accounting Unmanned aerial vehicles Performance evaluation Delays Indexes Quality of service

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Passive decoy-state quantum key distribution with the SARG04 protocol

Passive decoy-state quantum key distribution with the SARG04...

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作者： Liu, Kang Wei, Jie Zhang, Chun-Mei Wang, Qin Institute of Signal Processing Transmission Nanjing University of Posts and Telecommunications Nanjing210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing210003 China

We present a new scheme for realizing passive decoy-state quantum key distribution with the SARG04 protocol. It is based on parametric down-conversion sources, and we do not need to modulate the pumping light into different intensities. By applying local-mode-splitting detections on Alice's side, legitimate users can obtain four different kinds of counting events on Bob's side, due to intrinsic correlations between photon pairs from parametric downconversion processes. In the new scheme, we do not need to modulate signal pulses into different intensities and can, thus, avoid introducing any intensity modulating uncertainty. As a result, quite precise estimations of singleor multi-photon-pulse contributions can be obtained, enabling better performance of the key generation rate and transmission distance compared with other existing SARG04 protocols, e.g., the four-intensity decoy-state method using either parametric down-conversion sources or weak coherent sources. Besides, through comparisons, we also find that the proposed new passive decoy-state SARG04 protocol can also show some superiority over the conventional three-intensity decoy-state BB84 protocol at long transmission distances under certain experimental conditions. © 2018 Optical Society of America.

关键词： Quantum cryptography

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Co-whitening of i-vectors for short and long duration speaker verification 19

Co-whitening of i-vectors for short and long duration speake...

引用

19th Annual Conference of the International Speech communication, INTERSPEECH 2018

作者： Xu, Longting Lee, Kong Aik Li, Haizhou Yang, Zhen Department of Electrical and Computer Engineering National University of Singapore Singapore Data Science Research Laboratories NEC Corporation Japan Broadband Wireless Communication and Sensor Network Technology Key Lab Nanjing University of Posts and Telecommunications China

An i-vector is a fixed-length and low-rank representation of a speech utterance. It has been used extensively in text-independent speaker verification. Ideally, speech utterances from the same speaker would map to an unique i-vector. However, this is not the case due to some intrinsic and extrinsic factors like physical condition of the speaker, channel difference, noise and notably the duration of speech utterances. In particular, we found that i-vectors extracted from short utterances exhibit larger variance than that of long utterances. To address the problem, we propose a co-whitening approach, taking into account the duration, while maximizing the correlation between the i-vectors of short and long duration. The proposed co-whitening method was derived based on canonical correlation analysis (CCA). Experimental results on NIST SRE 2010 show that co-whitening method is effective in compensating the duration mismatch, leading to a reduction of up to 13.07% in equal error rate (EER). © 2018 International Speech communication Association. All rights reserved.

关键词： Vectors

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Energy and Delay Co-aware Computation Offloading with Deep Learning in Fog Computing networks

Energy and Delay Co-aware Computation Offloading with Deep L...

引用

IEEE International Conference on Performance, Computing and communications (IPCCC)

作者： Xi Zhu Siguang Chen Songle Chen Geng Yang Jiangsu Key Lab of Broadband Wireless Communication and Internet of Things Nanjing University of Posts and Telecommunications Nanjing China Jiangsu Engineering Research Center of Communication and Network Technology Nanjing University of Posts and Telecommunications Nanjing China

In data-rich everything connected world, the rapid and green data processing is essential, especially for some delay-sensitive and computation-intensive tasks. Motivated by these requirements, an energy and delay co-aware fog computation offloading mechanism is conceived in this paper. Specifically, we formulate a weighted sum minimization problem of task completion time and energy consumption at the local fog for achieving efficient task computation. Further, a deep learning-based joint offloading decision and resource allocation (DL-JODRA) algorithm is developed to address such problem by jointly optimizing offloading action, local CPU, bandwidth and external CPU occupation ratios. The optimal offloading decision based comprehensive optimization consideration of network resources further improves the network efficiency. Finally, the extensive simulation results demonstrate that the proposed DL-JODRA can achieve optimal offloading decision with low computation resource requirement and gain significant reduction on network costs (i.e., delay and energy) comparing with benchmark methods.

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