Resource Type

Journal Article 459

Year

2024 1

2023 48

2022 49

2021 58

2020 51

2019 38

2018 36

2017 33

2016 36

2015 8

2014 1

2013 3

2012 3

2011 6

2010 1

2009 5

2008 9

2007 11

2006 11

2005 14

open ︾

Keywords

neural network 16

Artificial intelligence 10

Deep learning 10

Neural network 8

Software-defined networking (SDN) 7

Machine learning 5

cyberspace 5

cyberspace security 5

6G 4

ANN 3

Attention mechanism 3

BP neural network 3

Boolean control networks 3

Network security 3

fuzzy sets 3

5G 2

Accelerator 2

Artificial intelligence (AI) 2

BP algorithm 2

open ︾

Search scope:

排序： Display mode:

认知中继三跳网络联合优化 Article

澄 赵,万良 王,信威 姚,双华 杨

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 2,   Pages 253-261 doi: 10.1631/FITEE.1601414

Abstract: 认知中继网络中，传输的吞吐量和传输距离一直是衡量性能的重要指标。现有的研究多数都集中在两跳网络的优化，但其也存在着传输距离不长，只能进行单项传输等缺点。本文提出了一种新的使用认知中继的三跳网络传输方案，通过三阶段的传输过程，实现了次级用户之间的双向传输。同时，引入了叠加编码技术来处理网络中双接收节点的情况。仿真结果表明，本文提出的优化方法可以在不增加中继跳数的情况下，延长主用户传输距离，并同时提高次级用户的传输吞吐量。

Keywords： 解码转发；三跳；认知中继网络；时间功率分配；叠加编码    

HTML PDF Collect

Multi-user rate and power analysis in a cognitive radio network with massive multi-input multi-output None

Shang LIU, Ishtiaq AHMAD, Ping ZHANG, Zhi ZHANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 5,   Pages 674-684 doi: 10.1631/FITEE.1700081

Abstract: This paper discusses transmission performance and power allocation strategies in an underlay cognitive radio (CR) network that contains relay and massive multi-input multi-output (MIMO). The downlink transmission performance of a relay-aided massive MIMO network without CR is derived. By using the power distribution criteria, the kth user’s asymptotic signal to interference and noise ratio (SINR) is independent of fast fading. When the ratio between the base station (BS) antennas and the relay antennas becomes large enough, the transmission performance of the whole system is independent of BS-to-relay channel parameters and relates only to the relay-to-users stage. Then cognitive transmission performances of primary users (PUs) and secondary users (SUs) in an underlay CR network with massive MIMO are derived under perfect and imperfect channel state information (CSI), including the end-to-end SINR and achievable sum rate. When the numbers of primary base station (PBS) antennas, secondary base station (SBS) antennas, and relay antennas become infinite, the asymptotic SINR of the PU and SU is independent of fast fading. The interference between the primary network and secondary network can be canceled asymptotically. Transmission performance does not include the interference temperature. The secondary network can use its peak power to transmit signals without causing any interference to the primary network. Interestingly, when the antenna ratio becomes large enough, the asymptotic sum rate equals half of the rate of a single-hop single-antenna K-user system without fast fading. Next, the PUs’ utility function is defined. The optimal relay power is derived to maximize the utility function. The numerical results verify our analysis. The relationships between the transmission rate and the antenna number, relay power, and antenna ratio are simulated. We show that the massive MIMO with linear pre-coding can mitigate asymptotically the interference in a multi-user underlay CR network. The primary and secondary networks can operate independently.

Keywords： Massive multi-input multi-output     Cognitive radio     Relay network     Transmission rate     Power analysis    

HTML PDF Collect

Cross-layer QoS routing algorithm of metric-based cooperative relay in WSNs

Xu Nan,Sun Yamin,Yu Jiming,Wang Hua

Strategic Study of CAE 2011, Volume 13, Issue 3,   Pages 45-49

Abstract:

We proposed a cross-layer QoS routing algorithm which is metric-based cooperative relay initiative forwarding(MCRICQR). Nodes form a metric according to energy, channel, congestion and distance to sink. The node with maximal metric forwards or relays or leapfrogs the data in term of it's own states. Simulation results show that MCRICQR can prolong the lifetime of network and guarantee the required QoS. It also can transmit data in time and load balance which improve the reliability and energy efficiency and throughput of WSN(wireless sensor network).

Keywords： quality of service     cross-layer design     cooperative relay     initiative forwarding     wireless sensor network    

HTML PDF Collect

Anovel resource optimization scheme for multi-cellOFDMArelay network Article

Ning DU,Fa-sheng LIU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 825-833 doi: 10.1631/FITEE.1500294

Abstract: In cellular networks, users communicate with each other through their respective base stations (BSs). Conventionally, users are assumed to be in different cells. BSs serve as decode-and-forward (DF) relay nodes to users. In addition to this type of conventional user, we recognize that there are scenarios users who want to communicate with each other are located in the same cell. This gives rise to the scenario of intra-cell communication. In this case, a BS can behave as a two-way relay to achieve information exchange instead of using conventional DF relay. We consider a multi-cell orthogonal frequency division multiple access (OFDMA) network that comprises these two types of users. We are interested in resource allocation between them. Specifically, we jointly optimize subcarrier assignment, subcarrier pairing, and power allocation to maximize the weighted sum rate. We consider the resource allocation problem at BSs when the end users’ power is fixed. We solve the problem approximately through Lagrange dual decomposition. Simulation results show that the proposed schemes outperform other existing schemes.

Keywords： Intra-cell communication     Two-way relay     Subcarrier assignment     Subcarrier pairing    

HTML PDF Collect

Achieving Cognitive Mass Personalization via the Self-X Cognitive Manufacturing Network: An Industrial Knowledge Graph- and Graph Embedding-Enabled Pathway

Xinyu Li, Pai Zheng, Jinsong Bao, Liang Gao, Xun Xu

Engineering 2023, Volume 22, Issue 3,   Pages 14-19 doi: 10.1016/j.eng.2021.08.018

HTML PDF Collect

On detecting primary user emulation attack using channel impulse response in the cognitive radio network Article

Qiao-mu JIANG, Hui-fang CHEN, Lei XIE, Kuang WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1665-1676 doi: 10.1631/FITEE.1700203

Abstract: Cognitive radio is an effective technology to alleviate the spectrum resource scarcity problem by opportunistically allocating the spare spectrum to unauthorized users. However, a serious denial-of-service (DoS) attack, named the ‘primary user emulation attack (PUEA)’, exists in the network to deteriorate the system performance. In this paper, we propose a PUEA detection method that exploits the radio channel information to detect the PUEA in the cognitive radio network. In the proposed method, the uniqueness of the channel impulse response (CIR) between the secondary user (SU) and the signal source is used to determine whether the received signal is transmitted by the primary user (PU) or the primary user emulator (PUE). The closed-form expressions for the false-alarm probability and the detection probability of the proposed PUEA detection method are derived. In addition, a modified subspace-based blind channel estimation method is presented to estimate the CIR, in order for the proposed PUEA detection method to work in the scenario where the SU has no prior knowledge about the structure and content of the PU signal. Numerical results show that the proposed PUEA detection method performs well although the difference in channel characteristics between the PU and PUE is small.

Keywords： Cognitive radio network     Primary user emulation attack     Subspace-based blind channel estimation     Channel impulse response    

HTML PDF Collect

Aprojected gradient based game theoretic approach for multi-user power control in cognitive radio network None

Yun-zheng TAO, Chun-yan WU, Yu-zhen HUANG, Ping ZHANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 3,   Pages 367-378 doi: 10.1631/FITEE.1700067

Abstract: The fifth generation (5G) networks have been envisioned to support the explosive growth of data demand caused by the increasing traditional high-rate mobile users and the expected rise of interconnections between human and things. To accommodate the ever-growing data traffic with scarce spectrum resources, cognitive radio (CR) is considered a promising technology to improve spectrum utilization. We study the power control problem for secondary users in an underlay CR network. Unlike most existing studies which simplify the problem by considering only a single primary user or channel, we investigate a more realistic scenario where multiple primary users share multiple channels with secondary users. We formulate the power control problem as a non-cooperative game with coupled constraints, where the Pareto optimality and achievable total throughput can be obtained by a Nash equilibrium (NE) solution. To achieve NE of the game, we first propose a projected gradient based dynamic model whose equilibrium points are equivalent to the NE of the original game, and then derive a centralized algorithm to solve the problem. Simulation results show that the convergence and effectiveness of our proposed solution, emphasizing the proposed algorithm, are competitive. Moreover, we demonstrate the robustness of our proposed solution as the network size increases.

Keywords： Cognitive radio networks     Multi-user power control     Non-cooperative game     Nash equilibrium     Projected gradient    

HTML PDF Collect

Physical layer security of underlay cognitive radio using maximal ratio combining Article

Hui ZHAO,Dan-yang WANG,Chao-qing TANG,Ya-ping LIU,Gao-feng PAN,Ting-ting LI,Yun-fei CHEN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 9,   Pages 929-937 doi: 10.1631/FITEE.1500351

Abstract: We investigate the secrecy outage performance of maximal ratio combining (MRC) in cognitive radio networks over Rayleigh fading channels. In a single-input multiple-output wiretap system, we consider a secondary user (SU-TX) that transmits confidential messages to another secondary user (SU-RX) equipped with ( 1) antennas where the MRC technique is adopted to improve its received signal-to-noise ratio. Meanwhile, an eavesdropper equipped with ( 1) antennas adopts the MRC scheme to overhear the information between SU-TX and SU-RX. SU-TX adopts the underlay strategy to guarantee the service quality of the primary user without spectrum sensing. We derive the closed-form expressions for an exact and asymptotic secrecy outage probability.

Keywords： Cognitive radio networks     Maximal ratio combining     Secrecy outage probability     Single-input multiple-output    

HTML PDF Collect

混合-增强智能：协作与认知 Review

南宁 郑,子熠 刘,鹏举 任,永强 马,仕韬 陈,思雨 余,建儒 薛,霸东 陈,飞跃 王

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 2,   Pages 153-179 doi: 10.1631/FITEE.1700053

Abstract: 由于人类面临的许多问题具有不确定性、脆弱性和开放性，任何智能程度的机器都无法完全取代人类，这就需要将人的作用或人的认知模型引入到人工智能系统中，形成混合-增强智能的形态，这种形态是人工智能或机器智能的可行的混合-增强智能可以分为两类基本形式：一类是人在回路的人机协同混合增强智能，另一类是将认知模型嵌入机器学习系统中，形成基于认知计算的混合智能。本文讨论人机协同的混合-增强智能的基本框架，以及基于认知计算的混合-增强智能的基本要素：直觉推理与因果模型、记忆和知识演化；特别论述了直觉推理在复杂问题求解中的作用和基本原理，以及基于记忆与推理的视觉场景理解的认知学习网络；阐述了竞争-对抗式认知学习方法，并讨论了其在自动驾驶方面的应用；最后给出混合-增强智能在相关领域的典型应用。

Keywords： 人-机协同；混合增强智能；认知计算；直觉推理；因果模型；认知映射；视觉场景理解；自主驾驶汽车    

HTML PDF Collect

Forward link outage performance of aeronautical broadband satellite communications Research Articles

Huaicong Kong, Min Lin, Shiwen He, Xiaoyu Liu, Jian Ouyang, Weiping Zhu,linmin@njupt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6,   Pages 790-801 doi: 10.1631/FITEE.2000445

Abstract: High-throughput satellites (HTSs) play an important role in future millimeter-wave (mmWave) aeronautical communication to meet high speed and broad bandwidth requirements. This paper investigates the outage performance of an aeronautical broadband satellite communication system’s forward link, where the feeder link from the gateway to the HTS uses and the user link from the HTS to aircraft operates at the mmWave band. In the user link, spot beam technology is exploited at the HTS and a massive antenna array is deployed at the aircraft. We first present a location-based beamforming (BF) scheme to maximize the expected output signal-to-noise ratio (SNR) of the forward link with the amplify-and-forward (AF) protocol, which turns out to be a phased array. Then, by supposing that the FSO feeder link follows Gamma-Gamma fading whereas the mmWave user link experiences shadowed Rician fading, we take the influence of the into account, and derive the closed-form expression of the (OP) for the considered system. To gain further insight, a simple asymptotic OP expression at a high SNR is provided to show the diversity order and coding gain. Finally, numerical simulations are conducted to confirm the validity of the theoretical analysis and reveal the effects of s on the system outage performance.

Keywords： 航空宽带卫星网络；自由空间光传输；高通量毫米波通信；中断概率；相位误差    

HTML PDF Collect

Framework and case study of cognitive maintenance in Industry 4.0 Special Feature on Industrial Internet

Bao-rui Li, Yi Wang, Guo-hong Dai, Ke-sheng Wang,kesheng.wang@ntnu.no

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 11,   Pages 1493-1504 doi: 10.1631/FITEE.1900193

Abstract: We present a new framework for (CM) based on cyber-physical systems and advanced artificial intelligence techniques. These CM systems integrate intelligent approaches and intelligent decision-making techniques, which can be used by maintenance professionals who are working with . The systems will provide technical solutions to real-time online maintenance tasks, avoid outages due to equipment failures, and ensure the continuous and healthy operation of equipment and manufacturing assets. The implementation framework of CM consists of four modules, i.e., cyber-physical system, Internet of Things, data mining, and Internet of Services. In the data mining module, fault diagnosis and prediction are realized by methods. In the case study, the backlash error of cutting-edge machine tools is taken as an example. We use a deep belief network to predict the backlash of the machine tool, so as to predict the possible failure of the machine tool, and realize the strategy of CM. Through the case study, we discuss the significance of implementing CM for cutting- edge equipment, and the framework of CM implementation has been verified. Some CM system applications in manufacturing enterprises are summarized.

Keywords： 认知维护；工业4.0；尖端设备；深度学习；绿色监视器；智能制造工厂    

HTML PDF Collect

Parallel cognition: hybrid intelligence for human-machine interaction and management Research Article

Peijun YE, Xiao WANG, Wenbo ZHENG, Qinglai WEI, Fei-Yue WANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1765-1779 doi: 10.1631/FITEE.2100335

Abstract: As an interdisciplinary research approach, traditional cognitive science adopts mainly the experiment, induction, modeling, and validation paradigm. Such models are sometimes not applicable in cyber-physical-social-systems (CPSSs), where the large number of human users involves severe heterogeneity and dynamics. To reduce the decision-making conflicts between people and machines in human-centered systems, we propose a new research paradigm called parallel cognition that uses the system of intelligent techniques to investigate cognitive activities and functionals in three stages: descriptive cognition based on artificial cognitive systems (ACSs), predictive cognition with computational deliberation experiments, and prescriptive cognition via parallel . To make iteration of these stages constantly on-line, a hybrid learning method based on both a psychological model and user behavioral data is further proposed to adaptively learn an individual's cognitive knowledge. Preliminary experiments on two representative scenarios, urban travel and cognitive visual reasoning, indicate that our parallel cognition learning is effective and feasible for human , and can thus facilitate human-machine cooperation in both complex engineering and social systems.

Keywords： Cognitive learning     Artificial intelligence     Behavioral prescription    

HTML PDF Collect

Joint cooperative beamforming and artificial noise design for secureAF relay networks with energy-harvesting eavesdroppers Article

He-hao NIU, Bang-ning ZHANG, Dao-xing GUO, Yu-zhen HUANG, Ming-yue LU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 6,   Pages 850-862 doi: 10.1631/FITEE.1601832

Abstract: In this paper, we investigate physical layer security for simultaneous wireless information and power transfer in amplify-and-forward relay networks. We propose a joint robust cooperative beamforming and artificial noise scheme for secure communication and efficient wireless energy transfer. Specifically, by treating the energy receiver as a potential eavesdropper and assuming that only imperfect channel state information can be obtained, we formulate an optimization problem to maximize the worst-case secrecy rate between the source and the legitimate information receiver under both the power constraint at the relays and the wireless power harvest constraint at the energy receiver. Since such a problem is non-convex and hard to tackle, we propose a two-level optimization approach which involves a one-dimensional search and semidefinite relaxation. Simulation results show that the proposed robust scheme achieves better worst-case secrecy rate performance than other schemes.

Keywords： Simultaneous wireless information and power transfer     Physical layer security     Relay networks     Cooperative beamforming     Artificial noise    

HTML PDF Collect

Semidefinite relaxation aided noncoherent detection in two-way relay transmission Regular Papers-Research Articles

Chan-fei WANG, Ji-ai HE, Wei-fang WANG, Ya-mei XU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9,   Pages 1259-1265 doi: 10.1631/FITEE.1800096

Abstract: A high-performance noncoherent transmission scheme is proposed in the broadcasting phase of a twoway relay transmission (TWRT), where multiple-symbol differential detection (MSDD) is performed because of its excellent detection performance with no channel estimation. Specifically, the generalized likelihood ratio test aided MSDD (GLRT-MSDD) is developed for the down-link. Furthermore, GLRT-MSDD is reformulated and a semidefinite relaxation aided MSDD (SDR-MSDD) is proposed. The reformulation of GLRT-MSDD to SDR-MSDD is desirable owing to its reduced complexity. Performance analysis and the simulations validate that the proposed SDR-MSDD provides the bit-error-rate performance close to that of GLRT-MSDD with reasonable complexity in TWRT.

Keywords： Multiple-symbol differential detection     Generalized likelihood ratio test     Semidefinite relaxation     Two-way relay transmission    

HTML PDF Collect

A Data and Knowledge Collaboration Strategy for Decision-Making on the Amount of Aluminum Fluoride Addition Based on Augmented Fuzzy Cognitive Maps Article

Weichao Yue、 Weihua Gui、 Xiaofang Chen、 Zhaohui Zeng、 Yongfang Xie

Engineering 2019, Volume 5, Issue 6,   Pages 1060-1076 doi: 10.1016/j.eng.2019.10.005

Abstract:

In the aluminum reduction process, aluminum fluoride (AlF3) is added to lower the liquidus temperature of the electrolyte and increase the electrolytic efficiency. Making the decision on the amount of AlF3 addition (referred to in this work as MDAAA) is a complex and knowledge-based task that must take into consideration a variety of interrelated functions; in practice, this decision-making step is performed manually. Due to technician subjectivity and the complexity of the aluminum reduction cell, it is difficult to guarantee the accuracy of MDAAA based on knowledge-driven or data-driven methods alone. Existing strategies for MDAAA have difficulty covering these complex causalities. In this work, a data and knowledge collaboration strategy for MDAAA based on augmented fuzzy cognitive maps (FCMs) is proposed. In the proposed strategy, the fuzzy rules are extracted by extended fuzzy k-means (EFKM) and fuzzy decision trees, which are used to amend the initial structure provided by experts. The state transition algorithm (STA) is introduced to detect weight matrices that lead the FCMs to desired steady states. This study then experimentally compares the proposed strategy with some existing research. The results of the comparison show that the speed of FCMs convergence into a stable region based on the STA using the proposed strategy is faster than when using the differential Hebbian learning (DHL), particle swarm optimization (PSO), or genetic algorithm (GA) strategies. In addition, the accuracy of MDAAA based on the proposed method is better than those based on other methods. Accordingly, this paper provides a feasible and effective strategy for MDAAA.

Keywords： AlF 3 addition     Fuzzy cognitive maps     Learning algorithms     State transition algorithm     Fuzzy decision trees    

HTML PDF Collect

Title Author Date Type Operation

认知中继三跳网络联合优化

澄 赵,万良 王,信威 姚,双华 杨

Journal Article

Multi-user rate and power analysis in a cognitive radio network with massive multi-input multi-output

Shang LIU, Ishtiaq AHMAD, Ping ZHANG, Zhi ZHANG

Journal Article

Cross-layer QoS routing algorithm of metric-based cooperative relay in WSNs

Xu Nan,Sun Yamin,Yu Jiming,Wang Hua

Journal Article

Anovel resource optimization scheme for multi-cellOFDMArelay network

Ning DU,Fa-sheng LIU

Journal Article

Achieving Cognitive Mass Personalization via the Self-X Cognitive Manufacturing Network: An Industrial Knowledge Graph- and Graph Embedding-Enabled Pathway

Xinyu Li, Pai Zheng, Jinsong Bao, Liang Gao, Xun Xu

Journal Article

On detecting primary user emulation attack using channel impulse response in the cognitive radio network

Qiao-mu JIANG, Hui-fang CHEN, Lei XIE, Kuang WANG

Journal Article

Aprojected gradient based game theoretic approach for multi-user power control in cognitive radio network

Yun-zheng TAO, Chun-yan WU, Yu-zhen HUANG, Ping ZHANG

Journal Article

Physical layer security of underlay cognitive radio using maximal ratio combining

Hui ZHAO,Dan-yang WANG,Chao-qing TANG,Ya-ping LIU,Gao-feng PAN,Ting-ting LI,Yun-fei CHEN

Journal Article

混合-增强智能：协作与认知

南宁 郑,子熠 刘,鹏举 任,永强 马,仕韬 陈,思雨 余,建儒 薛,霸东 陈,飞跃 王

Journal Article

Forward link outage performance of aeronautical broadband satellite communications

Huaicong Kong, Min Lin, Shiwen He, Xiaoyu Liu, Jian Ouyang, Weiping Zhu,linmin@njupt.edu.cn

Journal Article

Framework and case study of cognitive maintenance in Industry 4.0

Bao-rui Li, Yi Wang, Guo-hong Dai, Ke-sheng Wang,kesheng.wang@ntnu.no

Journal Article

Parallel cognition: hybrid intelligence for human-machine interaction and management

Peijun YE, Xiao WANG, Wenbo ZHENG, Qinglai WEI, Fei-Yue WANG

Journal Article

Joint cooperative beamforming and artificial noise design for secureAF relay networks with energy-harvesting eavesdroppers

He-hao NIU, Bang-ning ZHANG, Dao-xing GUO, Yu-zhen HUANG, Ming-yue LU

Journal Article

Semidefinite relaxation aided noncoherent detection in two-way relay transmission

Chan-fei WANG, Ji-ai HE, Wei-fang WANG, Ya-mei XU

Journal Article

A Data and Knowledge Collaboration Strategy for Decision-Making on the Amount of Aluminum Fluoride Addition Based on Augmented Fuzzy Cognitive Maps

Weichao Yue、 Weihua Gui、 Xiaofang Chen、 Zhaohui Zeng、 Yongfang Xie

Journal Article