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4th IEEE International Conference on Computer and communications, ICCC 2018

作者： Yin, Chunyan Lin, Zhi Tao, Xiangshuai Ouyang, Jian Lin, Min Panagopoulos, Athanasios D. Ministry of Education Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing China College of Communications Engineering Army Engineering University of PLA Nanjing China Nanjing Institute of Telecommunication Technology Nanjing China School of Electrical and Computer Engineering National Technical University of Athens Zografou15780 Greece

ISBN: (纸本)9781538683392

This paper proposes a beamforming (BF) scheme based on multi-objective optimization (MOO) for a cognitive satellite-terrestrial network (CSTN), where the eavesdroppers (Eves) attempt to intercept the private message conveyed to an intended user. By considering that the maximization of achievable secrecy rate (ASR) and the minimization of transmit power can not be achieved simultanesouly, we adopt artificial noise (AN) and apply the weighted Tchebycheff approach to formulate a multi-object optimization problem. Then, by introducing several auxiliary variables, applying semidefinite programming (SDP) and means of Taylor approximation, the original nonconvex MOO problem is transformed into a convex one with a series of linear constraints, and the BF weight vector and AN vector can be obtained. Finally, simulation results are given to illustrate the tradeoff between the conflicting objectives and the superiority of the proposed algorithm in comparison with the commonly used schemes. © 2018 IEEE.

关键词： Beamforming

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Multidimensional Speaker Information Recognition based on Proposed Baseline System 2

Multidimensional Speaker Information Recognition based on Pr...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Shan Li Longting Xu Zhen Yang Broadband Wireless Communication and Sensor Network Technology Key Lab.Nanjing University of Posts and Telecommunications Institute for Infocomm Research ASTAR

Traditional speech-related identity recognition commonly pays attention to individual aspect of speech signals but in reality, the speech signals are made up of semantics, speaker dependent features,

ISBN: (纸本)9781467389808

Traditional speech-related identity recognition commonly pays attention to individual aspect of speech signals but in reality, the speech signals are made up of semantics, speaker dependent features,

关键词： Speech recognition Speech Feature extraction Support vector machines Emotion recognition Training Mel frequency cepstral coefficient

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QoE-driven distributed media services in D2D communications underlaying cellular networks

QoE-driven distributed media services in D2D communications ...

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2017 IEEE International Conference on communications Workshops, ICC Workshops 2017

作者： Chen, Mingkai Lei, Wang Chen, Jianxin Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education China

ISBN: (纸本)9781509015252

Device-to-device (D2D) communication has been widely studied to improve network performance and been considered as a potential technological component for the next generation communication. As Quality of Experience (QoE) is the major determining factor for the media service, we aim at promoting user's QoE Mean of Score (MOS) value for dynamic cellular networks. In this paper, we focus on the problem of heterogeneous media service distribution in D2D communications underlaying cellular networks. Firstly, we propose an innovative distributed media service scheme based on QoE models that jointly solve the massive media content dissemination issue for cellular networks. Moreover, our work maximizes users' QoE satisfaction by jointly considering media-aware, popularity function and priority function. Then, we propose a novel resource allocation algorithm based on the popularity function to optimize the total users' QoE satisfaction and avoid the influence of D2D interference. Numerical simulation results demonstrate the effectiveness of our proposed schemes. © 2017 IEEE.

关键词： Quality of service

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Energy Efficiency Optimization Based on Context Awareness in Wearable Computing

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Procedia Computer Science 2018年 129卷 291-297页

作者： Feng Tian Yongan Guo Wei Liu Dapeng Li Zhen Yang Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications) Ministry of Education Nanjing 210003 China National Mobile Communications Research Laboratory Southeast University Nanjing 210096 China

The motion capture system of the wireless wearable device can achieve identification and classification of human motion through various classifiers, but wireless data transmission consumes most of the energy of the sensor node. An adaptive wireless transmission control algorithm based on context awareness is proposed realize energy efficiency optimization based on single classifier and multiple classifiers fusion. Firstly, adaptive wireless transmission control method based on fixed single classifier can effectively improve the overall energy efficiency under the limit of classification accuracy. Secondly, adaptive transmission control method of multi-classifier fusion is proposed with adjusting decision threshold based on various classifiers and their characteristics. The experimental results validate our proposed algorithm.

关键词： Wearable computing energy efficiency adaptive transmission control context awareness multiple classifiers fusion

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Hybrid Indoor Localization Method Based on Signal Subspace Fingerprint Database 17

Hybrid Indoor Localization Method Based on Signal Subspace F...

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2017 17th IEEE International Conference on communication technology (ICCT 2017)

作者： Weigang Wang Wenrui Wang Kexue Sun School of Electronic Science and Engineering Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and sensor network technology ministry of education

ISBN: (纸本)9781509039456;9781509039449

To solve the localization problem of multipath propagation in complex indoor circumstance, a localization method of signal subspace matching based on fingerprint database is proposed by using small antenna array in the indoor environment. Compared to the RSSI, the signal subspace fingerprint can obtain better effect by utilizing more space information. The received signal from each array is firstly processed with self-correlation and it's eigenvalue decomposed to create the signal subspace fingerprint. Location is then determined by the smallest angle between the received signal subspace and the fingerprint database. Simulation results show that the proposed algorithm has made a great improvement in localization accuracy.

关键词： indoor localization fingerprint database subspace matching hybrid localization

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Corrigendum to “3D shape segmentation via shape fully convolutional networks” [Computers & Graphics 70 (2018) 128–139]

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Computers and Graphics (Pergamon) 2018年 76卷 181-181页

作者： Wang, Pengyu Gan, Yuan Shui, Panpan Yu, Fenggen Zhang, Yan Chen, Songle Sun, Zhengxing State Key Lab for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing210023 China Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education College of Internet of Things Nanjing University of Posts and Telecommunications Nanjing210003 China

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Deep Reinforcement Learning for UAV Navigation Through Massive MIMO Technique

arXiv

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arXiv 2019年

作者： Huang, Hongji Yang, Yuchun Wang, Hong Ding, Zhiguo Sari, Hikmet Adachi, Fumiyuki Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing210003 China Sequans Communications Colombes92700 France Jilin University Changchun130012 China School of Electrical and Electronic Engineering University of Manchester ManchesterM13 9PL United Kingdom Tohoku University Sendai980-8577 Japan

Unmanned aerial vehicles (UAVs) technique has been recognized as a promising solution in future wireless connectivity from the sky, and UAV navigation is one of the most significant open research problems, which has attracted wide interest in the research community. However, the current UAV navigation schemes are unable to capture the UAV motion and select the best UAV-ground links in real-time, and these weaknesses overwhelm the UAV navigation performance. To tackle these fundamental limitations, in this paper, we merge the state-of-the-art deep reinforcement learning with the UAV navigation through massive multiple input multiple output (MIMO) technique. To be specific, we carefully design a deep Q-network (DQN) for optimizing the UAV navigation by selecting the optimal policy, and then we propose a learning mechanism for processing the DQN. The DQN is trained so that the agent is capable of making decisions based on the received signal strengths for navigating the UAVs with the aid of the powerful Q-learning. Simulation results are provided to corroborate the superiority of the proposed schemes in terms of the coverage and convergence compared with that of other schemes. Copyright © 2019, The Authors. All rights reserved.

关键词： Deep learning

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Outage Performance of Satellite-Aerial-Terrestrial network

Outage Performance of Satellite-Aerial-Terrestrial Network

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IEEE Globecom Workshops

作者： Qingquan Huang Min Lin Jun-Bo Wang Wei-Ping Zhu Communications Engineering College Army Engineering University of PLA Nanjing China The 63rd Research Institute National University of Defense Technology Nanjing China Key Lab 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 Department of Electrical and Computer Engineering Concordia University Montreal Canada School of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9781728109602

ISBN: (纸本)9781728109619

In this paper, we investigate the performance of an amplify-and-forward satellite-aerial-terrestrial network (SATN) with a multi-antenna unmanned aerial vehicle (UAV) relay, where the satellite-UAV link undergoes correlated Shadowed-Rician fading while the UAV-terrestrial links experience correlated Rician fading, respectively. Specifically, we first formulate a constrained optimization problem in terms of maximizing the system capacity to obtain the beamforming (BF) weight vectors at the UAV. By assuming that perfect channel state information (CSI) is unavailable, we design statistical CSI-aided BF scheme to enhance the system performance. Then, with the help of probability theory, we obtain the closed-form expression of outage probability for the considered SATN. Simulation results are provided to validate the effectiveness of our proposed BF scheme and the correctness of the derived expressions.

关键词： Satellites Unmanned aerial vehicles Relays Antenna arrays Signal to noise ratio wireless communication Optimization

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ZF-Based Beamforming for wireless Powered Cognitive Satellite-Terrestrial networks

ZF-Based Beamforming for Wireless Powered Cognitive Satellit...

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IEEE Global communications Conference

作者： Zhi Lin Min Lin Tomaso de Cola Benoit Champagne A. Lee Swindlehurst College of Communications Engineering 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 German Aerospace Center (DLR) Germany Department of Electrical and Computer Engineering McGill University Montreal Canada Center for Pervasive Communications and Computing University of California Irvine Irvine USA

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

In this paper, we propose a novel zero-forcing (ZF)-based beamforming (BF) scheme for a wireless powered cognitive satellite-terrestrial network (CSTN) operated in the millimeter wave band. Assuming that the satellite and base station are equipped with multiple antennas, we aim at maximizing the sum rate of the CSTN while satisfying the signal-to-interference-plus-noise-ratio requirements for both the information receivers (IRs) and earth stations, the energy harvesting requirements of the energy receivers (ERs), and the secrecy constraints at the ERs. Since the resulting optimization problem is mathematically intractable, we propose a novel multi-beam-based ZF BF scheme to generate beamforming vectors to serve the IRs and ERs. Specifically, the original nonconvex problem is decomposed into two independent subproblems. The first subproblem, which features beam orthogonality constraints, leads to closed form solutions for the beamforming vectors. The second subproblem, aiming at finding the optimal power allocation, is solved via the S-procedure. Finally, the effectiveness of the proposed scheme is demonstrated by simulation results.

关键词： Erbium Satellite broadcasting wireless communication Satellite antennas Array signal processing Energy harvesting Optimization

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Secure transmission to the strong user with optimal power allocation in NOMA

arXiv

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arXiv 2018年

作者： Feng, Youhong Yan, Shihao Yang, Zhen Key Lab. of Ministry of Education in Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing210003 China School of Engineering Macquarie University SydneyNSW Australia

With non-orthogonal multiple access (NOMA), we tackle the maximization of the secrecy rate for the strong user subject to a maximum allowable secrecy outage probability, while guaranteeing a constraint on the transmission rate to the weak user. For the first time, the dependence between the eavesdropper's ability to conduct successive interference cancellation and her channel quality is considered. We determine the optimal power allocation and the redundancy rate, based on which the cost of security in terms of the reduction in the strong user's secrecy rate is examined and the benefits of NOMA for secure transmissions are explicitly revealed. Copyright © 2018, The Authors. All rights reserved.

关键词： Redundancy

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