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Erratum to: Distributed beamforming designs to improve physical layer security in wireless relay networks

EURASIP Journal on Advances in Signal Processing 2014年第1期2014卷 1-1页

作者： Mujun Qian Chen Liu Youhua Fu The Key Lab of Broadband Wireless Communication and Sensor Network Technology (Ministry of Education) Nanjing University of Posts and Telecommunications Nanjing Jiangsu China National Mobile Communications Research Laboratory Southeast University Nanjing Jiangsu China

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Compressed wide spectrum sensing scheme based on BP network

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The Journal of China Universities of Posts and Telecommunications 2012年第3期19卷 7-16页

作者： WANG Lu-yu ZHU Qi ZHAO Su Key Laboratory on Wideband Wireless Communications and Sensor Network Technology Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China

This paper proposes a compressed sensing （CS） scheme to reconstruct and estimate the signals. In this scheme, the framework of CS is used to break the Nyquist sampling limit, making it possible to reconstruct and estimate signals via fewer measurements than that is required traditionally. However, the reconstruction algorithms based on CS are normally non-deterministic polynomial hard （NP-hard） in mathematics, which makes difficulties in obtaining real-time analysis-results. Therefore, a new compressed sensing scheme based on back propagation （BP） neural network is proposed under an assumption that every sub-band is the same. In this new scheme, BP neural network is added into detection process, replacing for signal reconstruction and decision-making. By doing this, heavy calculation cost in reconstruction is moved into pre-training period, which can be done before the real-time analysis, bringing about a sharp reduction in time consuming. For simplify, 1-bit quantification is taken on compressed signals. Simulations demonstrate the performance enhancement in the proposed scheme： compared with normal CS-based scheme, the proposed one presents a much shorter response time as well as a better robustness performance to noise via fewer measurements.

关键词： spectrum sensing compressed sensing BP neural network

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Cooperative Spectrum Sensing with receiver diversity over fading reporting channels

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Journal of Information and Computational Science 2013年第9期10卷 2765-2772页

作者： Yue, Wenjing Yang, Zhen Chen, Zhi Wang, Lei Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China National Mobile Communications Research Laboratory Southeast University Nanjing 210003 China

Cooperative Spectrum Sensing (CSS) is well known that, in the fading environment, it can effectively improve the spectrum sensing performance. However, a common problem in CSS requires that the communication links between the sensing users and the data collector must be reliable. In this paper, by taking into account the error introduced by reporting channel (channels between the data collector and the sensing users), We propose a receive diversity based CSS scheme, which improve spectrum sensing accuracy by reducing the probability of error introduced by fading reporting channel. For proposed methods, the relation between detection probability and false alarm probability is studied and the numerical results are given. By considering error probability over fading channel, our analysis and numerical results verify that compared to traditional CSS with OR-rule, the proposed methods can achieve better sensing performance. Copyright © 2013 Binary Information Press.

关键词： Fading channels

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network selection based on multiple attribute decision making and group decision making for heterogeneous wireless networks

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The Journal of China Universities of Posts and Telecommunications 2012年第5期19卷 92-98,114页

作者： SHI Zheng ZHU Qi Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Laboratory on Wideband Wireless Communications and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

One of the key issues for radio resources management is network selection strategy in heterogeneous scenarios. In order to provide ubiquitous service, the paper puts forward a network selection algorithm based on multiple attribute decision making （MADM） and group decision making （GDM）. Firstly, the proposed algorithm acquires attribute weights＇ vectors of the subjective and objective decision makers based on MADM, and then the two attribute weights＇ vectors are synthesized to be a new attribute weights＇ vector by using GDM. Considering that the results of GDM should be reasonable and convincible, the criterion of consistency is adopted for judging the compatibility of group judgments. More specit]cally, the algorithm takes into account not only objective attributes of networks but also the preference of subscribers and traft]c class Hence it guarantees that the subscribers can not select the networks with poor performance depending on their preference. The simulation results show that the proposed algorithm can effectively reduce the handoff number and provide subscribers with satisfactory quality of service （QoS）.

关键词： heterogeneous wireless networks group decision making compatibility criterion analytic hierarchy process entropy method

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Spectrum allocation based on interference management in femtocell networks

Spectrum allocation based on interference management in femt...

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International Conference on Automatic Control and Artificial Intelligence, ACAI 2012

作者： Shi, Ju-Rong Zhu, Qi Jiangsu Key Lab of Wireless Communications Key Lab on Wideband Wireless Communications and Sensor Network Technology of Ministry of Education Jiangsu Nanjing 210003 China

ISBN: (纸本)9781849195379

In order to mitigate the interference between macrocell mobile stations (mMSs) and femtocells and allocate the spectrum efficiently, a graph coloring based clustering algorithm for channel allocation is proposed in this paper. Under the premise of guaranteeing the SINR requirements of mMSs, the algorithm determines the initial set of subchannels which can be used for each femtocell. Then according to the constructed interference graph of the femtocell networks, each femtocell mobile station(fMS) is allocated all the available spectrum resources dynamically. In this paper, we use an improved cluster algorithm to ensure the SINR of mMSs and maximize the femtocell throughput. Simulation results show that the proposed algorithm can reduce the outage probability of mMSs as well as improve the total throughput.

关键词： Graph theory

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Spectrum allocation based on Q-learning algorithm in femtocell networks

Spectrum allocation based on Q-learning algorithm in femtoce...

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2012 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2012

作者： Ji, Xiangfen Qi, Zhu Su, Zhao Jiangsu Key Lab. of Wireless Communications Key Lab. on Wideband Wireless Communications and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781467300865

Interference is the main problem in femtocell networks. In this paper, a new dynamic spectrum allocation scheme for femtocell networks in OFDM scenario based on reinforcement learning is presented. The proposed algorithm allocates spectrum through Q-Learning to dynamically adjust the number of subchannels by different frequency reuse factors. The greater the reuse factor is, the fewer the shared subchannels in adjacent femtocells are. The reward function of Q-Learning considers spectral efficiency of all femtocells to ensure the minimum spectral efficiency of each cell as much as possible. Simulation results show that the proposed algorithm has a better system spectral efficiency with edge spectral efficiency guaranteed in comparison with other algorithms. © 2012 IEEE.

关键词： Spectrum efficiency

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Q-learning based heterogeneous network selection algorithm

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2nd World Congress on Computer Science and Information Engineering, CSIE 2011

作者： Zhao, Yan-Qing Zhou, Wei-Feng Zhu, Qi Jiangsu Key Lab. of Wireless Communications China Key Lab. on Wideband Wireless Communications and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

ISBN: (纸本)9783642257681

A Q-learning based network selection algorithm is proposed which is derived from the autonomy of network selection. It is based on the heterogeneous network composed of WiMax and HSDPA. The algorithm can constantly adjust its strategy for action selection according to network load conditions, traffic attribute and mobility of terminal by the constantly trial and error learning with wireless environment. Finally a suitable network can be selected for every session. Simulation results show that system blocking probability can be lowered and spectrum utility can be increased. © Springer-Verlag Berlin Heidelberg 2012.

关键词： Learning algorithms

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Intrusion detection technology of layered wireless sensor network based on Agent

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Telkomnika - Indonesian Journal of Electrical Engineering 2013年第8期11卷 4238-4243页

作者： Yu, Genjian Weng, Kunpeng Department of Computer Science Minjiang University Fuzhou 350108 China Institute of Communications Technology Fuchun Comminucations Co. Ltd Fuzhou 350108 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education 210003 China

The intrusion detection system and technology of classified layered-wireless sensor network was able to meet the high safety requirements of wireless sensor network, it is urgent for us to improve the identification and generalization of detection system about characters of intrusion. In this paper, we design an intelligent intrusion detection system which realizes intelligence, the effective and direct way was to add the methods, and it was used for identification and generalization of intrusion characters to the Agent function of intrusion detection. It could obtain credible judgment by updating and examining the database for the actions which the general misuse detection or anomaly detection was not sure if the intrusion was formed. © 2013 Universitas Ahmad Dahlan.

关键词： Intrusion detection

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Joint scheduling and power allocation in OFDMA network with decode-and-forward relaying

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2012 3rd International Conference on Information technology for Manufacturing Systems, ITMS 2012

作者： Lv, Linshu Zhu, Qi Key Wireless Lab of Jiangsu Province School of Telecommunication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China Key Lab on Wideband Wireless Communications and Sensor Network Technology Ministry of Education Nanjing China

ISBN: (纸本)9783037855317

This paper investigates the resource allocation of Orthogonal Frequency Division Multiplexing Access (OFDMA) cellular network with DF relaying in the downlink. A joint scheme of relay selection, subcarrier assignment and power allocation is proposed to maximize the system sum rate subject to individual power constraints and heterogeneous users' rate requirements. Since the original problem is a mixed integer programming (MIP), we transform it to a standard convex optimization by continuous relaxation and solve it via iterative water-filling (IWF) and subgradient methods in the dual domain. Beside the joint scheme, the upper bound is studied through an exhaustive bisection search. Simulations results show that the proposed scheme outperforms the traditional methods in terms of both system throughput and users' satisfactions. © (2012) Trans Tech Publications, Switzerland.

关键词： Orthogonal frequency division multiplexing

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PERFORMANCE ANALYSIS OF USER FAIR-BASED RELAY ADAPTIVE POWER ALLOCATION IN PHYSICAL-LAYER network CODING COOPERATION

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Journal of Electronics(China) 2012年第5期29卷 383-391页

作者： Cheng Yulun Yang Longxiang Wireless Communications Key Lab of Jiangsu Province 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

network Coding (NC) is an effective technology to enhance the cooperative system spectral efficiency. However, since it is network-oriented, the existing performance metric of single-user outage can not comprehensively evaluate its gain and the impact to the entire network, which affect the user fairness. This paper proposes two novel user fair-based adaptive relay power allocation algorithms in single-relay NC cooperative multiple access channels. Firstly, common outage probability is employed as the performance metric, and to minimize it, a specific condition is deduced. On this basis, the instantaneous channel information-based adaptive relay power allocation scheme and the channel statistic information-based one with lower complexity are designed respectively, which make users' signals superimposed at accurately calculated proportion to maintain fairness. Simulation results show that compared with other existing schemes, the proposed schemes can best maintain user fairness, and effectively improve the common outage performance of the whole system, at the expense of small spectral efficiency.

关键词： Power allocation Cooperation network Coding (NC) Common outage probability User fairness

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