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基于无线传感网络的数据采集及远程监控系统研究与实现 Study and Implementation of Collecting Data and Remote Monitoring System Based on WSN 基于无线传感网络的数据采集及远程监控系统研究与实现 Study and Implementation of Collecting Data and Remote Monitoring System Based on WSN
Pub Date : 2017-06-19 DOI: 10.12677/HJWC.2017.73014
余其江, 高飞, 邢传玺, 包玉仙
针对无线传感网络节点在采集数据时存在大量冗余信息、数据准确性不高及系统监控不方便的问题,提出了一种基于无线传感网的数据采集及远程监控系统的设计方案。系统利用WSN节点完成对外部环境各参数的实时采集,对WSN节点的网络组建、数据传输、数据融合及传输到上位机进行了软件设计,并通过WIFI作为传输手段,构建了远程监控平台。测试结果表明,该系统可实现对外部环境远程实时监测,且使用数据融合算法使得节点间传输速率增大和数据准确性提高。 A data acquisition and remote monitoring system based on technique of WSN for solving the prob-lems of a large number of redundant data, low data accuracy and monitoring inconvenient was put forward when WSN nodes collect data. The system finished real-time acquisition of external envi-ronment parameters by WSN nodes and a software design for building network, data transmission, data fusion and transmit to the monitoring center. A means of transmission by WIFI was to build the remote monitoring platform in system. Test results indicate that: the system can accomplish remote monitoring for external environment and improve data accuracy and transmission rate by using data fusion.
A design scheme for a data acquisition and remote monitoring system based on wireless sensor networks is proposed to address the problems of a large amount of redundant information, low data accuracy, and inconvenient system monitoring when collecting data for wireless sensor network nodes. The system utilizes WSN nodes to collect real-time parameters of the external environment, and designs software for network construction, data transmission, data fusion, and transmission to the upper computer of WSN nodes. Through WIFI as the transmission method, a remote monitoring platform is constructed. The test results show that the system can achieve remote real-time monitoring of the external environment, and the use of data fusion algorithms increases the transmission rate between nodes and improves data accuracy. A data acquisition and remote monitoring system based on technology of WSN for solving the prob-columns of a large number of redundant data, low data accuracy and monitoring inconveniently was put forward when WSN nodes collect data The system completed real-time acquisition of external environment parameters by WSN nodes and a software design for building network, data transmission, data fusion and transfer to the monitoring center A means of transmission by WIFI was to build the remote monitoring platform in the system Test results indicate that: the system can comply with remote monitoring for external environment and improve data accuracy and transmission rate by using data fusion
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引用次数: 0
基于OFDM导频信号的测距测速方法 Novel Method of Range and Velocity Measurement Based on OFDM Pilot Signal 基于OFDM导频信号的测距测速方法 Novel Method of Range and Velocity Measurement Based on OFDM Pilot Signal
Pub Date : 2017-06-19 DOI: 10.12677/HJWC.2017.73013
叶恒, 余小游, 慈能达, 孙鹏帅, 马和风, 林培英, 陈星
实现车辆的距离和速度估计是车载通信与网络领域的重要方向,针对导频信号具有功率大、良好的无源探测性能等优点,本文在OFDM信号的基础上,提出了一种利用OFDM导频信号进行测距测速的方法。首先推导得到了OFDM导频信号接收信号频域矩阵,对其行、列向量频谱进行搜索,经过处理得到目标的距离和速度,然后通过仿真实验及性能分析,验证了OFDM导频信号能够满足车载通信网络中车辆测距测速要求。 The estimation of range and velocity is an important direction of the vehicular communications and networking field. In view of the pilot signal with large power, and the advantages of good passive detection performance, this paper proposes a new velocity and range measuring method using OFDM pilot signal based on the OFDM signal. The OFDM pilot signals frequency domain matrix was derived firstly, the range and velocity of the target can be obtained through searching the frequency of the columns and row vector frequency of the matrix. And then through the simulation experiment and performance analysis we prove that this method can meet the requirements of range and velocity measurement in vehicular communication networking.
Realizing distance and speed estimation of vehicles is an important direction in the field of on-board communication and networks. In response to the advantages of high power and good passive detection performance of pilot signals, this paper proposes a method for distance and speed measurement using OFDM pilot signals based on OFDM signals. Firstly, the frequency domain matrix of the OFDM pilot signal reception signal was derived, and its row and column vector spectra were searched. After processing, the distance and speed of the target were obtained. Then, through simulation experiments and performance analysis, it was verified that the OFDM pilot signal can meet the requirements of vehicle distance measurement and speed measurement in the vehicle communication network. The estimation of range and velocity is an important direction of the vehicular communications and networking field In view of the pilot signal with large power, and the advantages of good passive detection performance, this paper proposes a new velocity and range measuring method using OFDM pilot signal based on the OFDM signal The OFDM pilot signals frequency domain matrix was derived first, the range and velocity of the target can be observed through searching the frequency of the columns and row vector frequency of the matrix And then through the simulation experience and performance analysis we have provided that this method can meet the requirements of range and velocity measurement in vehicular communication networking
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引用次数: 0
基于无线传感器网络的室内人体日常动作识别 Indoor Human Activity Recognition Using Wireless Sensor Networks 基于无线传感器网络的室内人体日常动作识别 Indoor Human Activity Recognition Using Wireless Sensor Networks
Pub Date : 2017-04-25 DOI: 10.12677/HJWC.2017.72008
Xiaomu Luo, Huoyuan Tan
实现室内人体定位跟踪与动作智能识别在人口老龄化社会具有重要的现实意义。本文提出了一种通过构造无线传感器网络(Wireless sensor network, WSN)同时解决这两个相关问题的方法。在WSN中,每个热释电红外(Pyroelectric Infrared, PIR)传感器的视场(Field of View, FOV)通过两个自由度(Degrees of freedom, DOF)分割来实现调制,通过位置信息的编码解码实现了人体目标的粗略定位。通过相邻两个传感器节点的数据融合扩大了监测区域,同时提高了人体定位的精确度。动作的持续时间是动作识别的一个关键特征,为此本文构造了一个两层的随机森林(Random Forest, RF)分类器。第一层随机森林用于识别每个数据帧的动作类型,第二层随机森林利用相同动作的持续时间作为有效的特征判断最终的动作类型。实验在真实的室内环境中进行,5种日常动作的10折交叉验证平均准确率高于93%。实验结果表明本文提出的方法可以同时有效地实现人体定位跟踪与日常动作识别。 Human locomotion tracking and activity recognition in the indoor environment are fundamental problems for healthy aging. In this paper, we propose a method to deal with these two coherent problems simultaneously by constructing a wireless sensor network (WSN). In the WSN, the Field of View (FOV) of each Pyroelectric Infrared (PIR) sensor is modulated by two degrees of freedom (DOF) segmentation, which provides coarse location information of the human target. Data fusion of the adjacent sensor nodes enlarges the monitored region and improves the human localization accuracy. To incorporate the activity lasting time as a crucial cue for activity recognition, we build a two-layer Random Forest (RF) classifier. The first layer is utilized to label the activity type for each data frame, and the second layer will utilize the lasting time of the same activity as a useful feature for the final activity classification. We conducted experiments in a mock apartment, and the average mean accuracy for 10-fold cross validation of 5 kinds of daily activities is above 93%. The encouraging results show that our method can achieve human tracking and daily activity recognition simultaneously and effectively.
实现室内人体定位跟踪与动作智能识别在人口老龄化社会具有重要的现实意义。本文提出了一种通过构造无线传感器网络(Wireless sensor network, WSN)同时解决这两个相关问题的方法。在WSN中,每个热释电红外(Pyroelectric Infrared, PIR)传感器的视场(Field of View, FOV)通过两个自由度(Degrees of freedom, DOF)分割来实现调制,通过位置信息的编码解码实现了人体目标的粗略定位。通过相邻两个传感器节点的数据融合扩大了监测区域,同时提高了人体定位的精确度。动作的持续时间是动作识别的一个关键特征,为此本文构造了一个两层的随机森林(Random Forest, RF)分类器。第一层随机森林用于识别每个数据帧的动作类型,第二层随机森林利用相同动作的持续时间作为有效的特征判断最终的动作类型。实验在真实的室内环境中进行,5种日常动作的10折交叉验证平均准确率高于93%。实验结果表明本文提出的方法可以同时有效地实现人体定位跟踪与日常动作识别。 Human locomotion tracking and activity recognition in the indoor environment are fundamental problems for healthy aging. In this paper, we propose a method to deal with these two coherent problems simultaneously by constructing a wireless sensor network (WSN). In the WSN, the Field of View (FOV) of each Pyroelectric Infrared (PIR) sensor is modulated by two degrees of freedom (DOF) segmentation, which provides coarse location information of the human target. Data fusion of the adjacent sensor nodes enlarges the monitored region and improves the human localization accuracy. To incorporate the activity lasting time as a crucial cue for activity recognition, we build a two-layer Random Forest (RF) classifier. The first layer is utilized to label the activity type for each data frame, and the second layer will utilize the lasting time of the same activity as a useful feature for the final activity classification. We conducted experiments in a mock apartment, and the average mean accuracy for 10-fold cross validation of 5 kinds of daily activities is above 93%. The encouraging results show that our method can achieve human tracking and daily activity recognition simultaneously and effectively.
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引用次数: 0
基于大规模MIMO的信道检测算法研究 Research on Channel Detection Algorithm Based on Massive MIMO Communication System 基于大规模MIMO的信道检测算法研究 Research on Channel Detection Algorithm Based on Massive MIMO Communication System
Pub Date : 2017-04-25 DOI: 10.12677/HJWC.2017.72007
高君慧, 张梦娇, 曹凡, 汪佳玮, 吉峰
信道检测是大规模多输入多输出(multiple input multiple output, MIMO)系统中不可缺少的重要模块,往往决定着整个通信系统性能的好坏。信道检测的主要作用是将信道估计后得到的信道矩阵进行运算处理,从而得到发送的信号矢量。本文介绍了硬件可实现的最大比合并检测算法和基于QR分解的线性最小均方误差检测算法,并建立系统传输模型,对上行链路数据传输过程进行仿真。仿真结果表明,基于QR分解线性最小均方误差算法的性能要优于最大比合并算法。 Channel detection is an indispensable module in massive MIMO communication systems, which often determines the performance of the entire communication system. The main function of channel detection is to deal with the channel matrix obtained by channel estimation to get the signal vector sent by the users. In this paper, we introduce the maximum ratio combining algo-rithm and the linear minimum mean square error detection algorithm based on QR decomposition, and establish the system model to simulate the uplink data transmission. The simulation results show that the performance of the linear minimum mean square error algorithm based on QR decomposition is superior to the maximum ratio combining algorithm.
信道检测是大规模多输入多输出(multiple input multiple output, MIMO)系统中不可缺少的重要模块,往往决定着整个通信系统性能的好坏。信道检测的主要作用是将信道估计后得到的信道矩阵进行运算处理,从而得到发送的信号矢量。本文介绍了硬件可实现的最大比合并检测算法和基于QR分解的线性最小均方误差检测算法,并建立系统传输模型,对上行链路数据传输过程进行仿真。仿真结果表明,基于QR分解线性最小均方误差算法的性能要优于最大比合并算法。 Channel detection is an indispensable module in massive MIMO communication systems, which often determines the performance of the entire communication system. The main function of channel detection is to deal with the channel matrix obtained by channel estimation to get the signal vector sent by the users. In this paper, we introduce the maximum ratio combining algo-rithm and the linear minimum mean square error detection algorithm based on QR decomposition, and establish the system model to simulate the uplink data transmission. The simulation results show that the performance of the linear minimum mean square error algorithm based on QR decomposition is superior to the maximum ratio combining algorithm.
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引用次数: 0
无线通信系统公共信道干扰储备的非线性拟合估计 Nonlinear Fitting Estimation of Common Channel Interference Reserve in Wireless Communication System 无线通信系统公共信道干扰储备的非线性拟合估计 Nonlinear Fitting Estimation of Common Channel Interference Reserve in Wireless Communication System
Pub Date : 2017-04-25 DOI: 10.12677/HJWC.2017.72010
沈洁, 张庚, 汪洋
本文针对无线通信系统公共信道(主要是BCH和FACH信道)链路预算随机参数估计的问题,提出采用曲线拟和的方法,先直接计算出公共信道的等效路径损耗,再计算出干扰储备的方法,最后得到实际路径损耗。同时,通过对不同的场景仿真,采用加权的方法,给出干扰消除因子和邻小区与本小区干扰之比。最后,得到小区边缘覆盖率和区域覆盖率的映射关系,可以用于无线通信网络的规划和优化。 In this paper we provide a solution to problem existing in link budget of common channel in wireless communication system, adopting curve fitting to calculate equivalent path-loss first, then get cell interference margin; last the real path-loss is obtained. During the procedure, we also select different scene to simulate interference cancellation factor and Interference Ratio between adjacent cell and local cell through weight method. At the end, we get the map of cell edge coverage and area coverage, as reference for wireless network planning and optimization.
This article focuses on the problem of estimating random parameters in the link budget of common channels (mainly BCH and FACH channels) in wireless communication systems. A curve fitting method is proposed to directly calculate the equivalent path loss of the common channel, then calculate the interference reserve method, and finally obtain the actual path loss. At the same time, by simulating different scenarios and using a weighted method, the interference cancellation factor and the ratio of interference between adjacent cells and the local cell are given. Finally, the mapping relationship between cell edge coverage and area coverage is obtained, which can be used for planning and optimizing wireless communication networks. In this paper we provide a solution to problem existing in link budget of common channel in wireless communication system, adapting curve fitting to calculate equivalent path loss first, then get cell interference margin; Last the real path loss is observed During the procedure, we also select different scenes to simulate interference cancellation factor and interference ratio between adjacent cells and local cells through weight method At the end, we get the map of cell edge coverage and area coverage, as reference for wireless network planning and optimization
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引用次数: 0
高阶MIMO系统中硬件可实现的信道估计算法 Hardware-Friendly Channel Estimation for High-Order MIMO Systems 高阶MIMO系统中硬件可实现的信道估计算法 Hardware-Friendly Channel Estimation for High-Order MIMO Systems
Pub Date : 2017-04-25 DOI: 10.12677/HJWC.2017.72009
张梦娇, 高君慧, 曹凡, 姜培文, 卢欣桐
近年来,多天线模块在移动终端中的运用已经逐渐成为通信系统发展中的重要方向之一。为了进一步开发和验证相关算法以及有效测试多天线模块的性能,需要建立基于空口的、实时传输的软件无线电(Software-defined Radio, SDR)原型验证平台。为提高测试平台的工作效率、降低其硬件复杂度,需要设计性能良好且硬件可实现的基带处理算法。本文首先根据长期演进技术(Long Term Evolution, LTE)标准,给出系统的基本参数以及时频资源网格,接着研究高阶多输入多输出(Multi-input Multi-output, MIMO)原型验证平台中适用的低复杂度最小均方误差(Minimum Mean-squared Error, MMSE)信道估计算法,并在此基础上构建仿真链路。最后,文章给出相应仿真结果并分析其性能,证明了方案的可行性。 In recent years, the use of multi-antenna module in the mobile terminal has gradually become one of the important directions in the development of communication systems. In order to further develop and prove the relevant algorithms under the condition of terminal multi-antenna and to evaluate the performance of multi-antenna module effectively, it is necessary to establish a software-defined radio (SDR) prototype verification platform based on air port and real-time transmission. In order to improve the working efficiency of the test platform and reduce the hardware complexity, it is essential to design well performing and hardware-friendly baseband processing algorithms. In this paper, the general parameters of the system and the time-frequency resource grid are given according to the Long Term Evolution (LTE) standard. Then, Minimum Mean- squared Error (MMSE) channel estimation algorithm in the multi-input multi-output (MIMO) prototype verification platform is discussed, and the simulation link is built on this basis. Finally, the paper gives the corresponding simulation results and analyzes its performance, proving the feasibility of the scheme.
In recent years, the application of multi antenna modules in mobile terminals has gradually become one of the important directions in the development of communication systems. In order to further develop and validate relevant algorithms and effectively test the performance of multi antenna modules, it is necessary to establish a software defined radio (SDR) prototype verification platform based on air ports and real-time transmission. To improve the work efficiency of the testing platform and reduce its hardware complexity, it is necessary to design baseband processing algorithms with good performance and hardware implementation. This article first provides the basic parameters of the system and the time-frequency resource grid based on the Long Term Evolution (LTE) standard. Then, it studies the low complexity Minimum Mean Squared Error (MMSE) channel estimation algorithm applicable in the high-order Multi input Multi output (MIMO) prototype verification platform, and builds a simulation link on this basis. Finally, the article provides corresponding simulation results and analyzes their performance, proving the feasibility of the scheme. In recent years, the use of multi-antenna module in the mobile terminal has gradually become one of the important directions in the development of communication systems In order to further develop and improve the relevant algorithms under the condition of terminal multi antenna and to evaluate the performance of multi antenna module effectively, it is necessary to establish a software defined radio (SDR) prototype verification platform based on air port and real-time transmission In order to improve the working efficiency of the test platform and reduce the hardware complexity, it is essential to design well performing and hardware friendly based processing algorithms In this paper, the general parameters of the system and the time frequency resource grid are given according to the Long Term Evolution (LTE) standard Then, Minimum Mean squared Error (MMSE) channel estimation algorithm in the multi input multi output (MIMO) prototype verification platform is discussed, and the simulation link is built on this basis Finally, the paper gives the corresponding simulation results and analyzes its performance, providing the feasibility of the scheme
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引用次数: 0
快时变衰落信道下OFDM系统的SAGE检测算法研究 Research on Space Alternating Generalized Expectation Maximization Detection Algorithm for OFDM Systems under Fast Fading Channels Research on Space Alternating Generalized Expectation Maximization Detection Algorithm for OFDM Systems under Fast Fading Channels
Pub Date : 2017-04-25 DOI: 10.12677/HJWC.2017.72011
狄碎虎, 卓嘎, 魏润国, 胡东升, 姜军, 董志诚
OFDM技术可以有效地抑制多径效应的影响,从而被广泛地应用到无线通信系统中。快时变衰落信道下的OFDM系统将产生严重的子载波间干扰(ICI),从而影响系统性能。本文对快时变OFDM系统,提出一种基于空间交替广义期望最大化算法(SAGE)的信号检测算法。理论分析的实验仿真结果表明,所提SAGE算法是有效的。 Orthogonal frequency division multiplexing (OFDM) technology can effectively suppress the im-pact of multipath effects, which is widely used in wireless communication systems. However, OFDM systems will lead to severe inter carrier interference (ICI) under fast time-varying fading channels, which will determine system performance. In this paper, an efficient data detection al-gorithm is proposed based on the space alternating generalized expectation maximization (SAGE) technique for OFDM systems under fast fading channels. Simulation results show that the pro-posed algorithm is effective for improving the performance of OFDM systems under fast time-  varying fading channels.
OFDM technology can effectively suppress the impact of multipath effects and is widely applied in wireless communication systems. OFDM systems in fast time-varying fading channels will generate severe inter carrier interference (ICI), which will affect system performance. This article proposes a signal detection algorithm based on the spatial alternating generalized expectation maximization algorithm (SAGE) for fast time-varying OFDM systems. The experimental simulation results of theoretical analysis show that the proposed SAGE algorithm is effective. Orthogonal frequency division multiplexing (OFDM) technology can effectively suppress the im act of multipath effects, which is widely used in wireless communication systems However, OFDM systems will lead to sever inter carrier interference (ICI) under fast time varying fading channels, which will determine system performance In this paper, an effective data detection algorithm is proposed based on the space alternative generalized expectation maximization (SAGE) technology for OFDM systems under fast fast fast channels Simulation results show that the pro posed algorithm is effective for improving the performance of OFDM systems under fast time - varying fading channels
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引用次数: 0
Research on the Optimization Measures of Intelligent Substation Network Clock Synchronization Applications 智能变电站网络时钟同步应用的优化措施研究
Pub Date : 2017-04-25 DOI: 10.12677/HJWC.2017.72012
Yu Lei, Ying He, Zhiqiang Xu, Jian Chen
针对智能变电站业务同步精度影响业务服务质量问题,本文开展智能变电站网络时钟同步应用优化措施研究。首先对当前网络时钟同步技术进行分析比较;结合智能变电站对时钟同步精度的实际要求以及变电站业务实际业务应用的同步需求,从冗余组网、独立网络拓扑和分层对时等方面,通过典型实例阐述同步优化措施,从而实现智能变电站网络时钟同步应用优化的目的。 This paper carries out research on the optimization measures of intelligent substation network clock synchronization applications, aiming at the problem that intelligent substation synchronization precision affects the quality of business services business. First of all, the current network clock synchronization technologies are analyzed and compared. Then, the synchronous optimization measures are introduced through the typical examples in terms of redundant network, independent topology and layered synchronization, considering the intelligent substation actual requirements for precision clock synchronization and synchronization requirements of substation practical business applications. Thereby, the purpose of optimizing intelligent substation network clock synchronization applications is realized.
In response to the issue of the impact of synchronization accuracy on business service quality in intelligent substations, this article conducts research on optimization measures for clock synchronization application in intelligent substation networks. Firstly, analyze and compare the current network clock synchronization technologies; Based on the actual requirements for clock synchronization accuracy in intelligent substations and the synchronization requirements for practical business applications in substations, this paper elaborates on synchronization optimization measures through typical examples from aspects such as redundant networking, independent network topology, and layered time synchronization, in order to achieve the goal of optimizing clock synchronization applications in intelligent substation networks. This paper carries out research on the optimization measures of intelligent substation network clock synchronization applications, aiming at the problem that intelligent substation synchronization precision affects the quality of business services business First of all, the current network clock synchronization technologies are analyzed and compared Then, the synchronous optimization measures are introduced through the typical examples in terms of redundant network, independent topology and layered synchronization, considering the intelligent substation actual requirements for precision clock synchronization and synchronization requirements of substation practical business applications Thereby, the purpose of optimizing intelligent substation network clock synchronization applications is realized
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引用次数: 1
基于特征向量的线性相位FIR滤波器设计 Design of Linear Phase FIR Filter Based on Eigenvector 基于特征向量的线性相位FIR滤波器设计 Design of Linear Phase FIR Filter Based on Eigenvector
Pub Date : 2017-02-10 DOI: 10.12677/HJWC.2017.71005
张心宇
本文将线性相位FIR滤波器的设计表示成一个实对称正定矩阵的特征问题。根据求解该矩阵的最小特征值所对应的特征向量来确定滤波器的系数。通过在通带取平均的方法,避免了参考频率的设定问题。仿真结果表明,该方法提高了特征滤波器法的设计性能。 In this paper, the design of a linear phase finite impulse response filter is formulated as an eigen problem of a real, symmetric, positive-definite matrix. The unknown filter coefficients can be obtained by calculating the eigenvector corresponding to the minimum eigenvalue of the matrix. The modified method does not need a reference frequency point for normalization as done in traditional eigenfilters. Instead, average over the passband is carried out. Simulations show that the modified method leads to improved design performance.
This article presents the design of linear phase FIR filters as a feature problem of a real symmetric positive definite matrix. Determine the coefficients of the filter based on the eigenvector corresponding to the minimum eigenvalue of the matrix. By averaging in the passband, the problem of setting the reference frequency is avoided. The simulation results show that this method improves the design performance of the feature filter method. In this paper, the design of a linear phase final impulse response filter is formulated as an additional problem of a real, symmetric, positive definition matrix The unknown filter coefficients can be observed by calculating the eigenvector responding to the minimum eigenvalue of the matrix The modified method does not need a reference frequency point for normalization as done in traditional eigenfilters Instad, average over the passband is carried out Simulations show that the modified method leads to improved design performance
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引用次数: 0
基于NS-3的CR认知网络仿真平台研究 Research of Cognitive Radio Network Simulation Platform Based on NS3 Research of Cognitive Radio Network Simulation Platform Based on NS-3 for CR Cognitive Network Simulation Platform
Pub Date : 2017-02-10 DOI: 10.12677/HJWC.2017.71004
杨德智, 李白萍, 崔翠梅
认知无线电技术为缓解频谱资源紧缺,提高频谱利用率提供了重要解决方案。但目前尚缺乏验证相关理论的成熟原型和仿真平台,而且一些实验平台和设备无法实现认知网络跨层协作。针对缺少仿真验证平台和跨层协作问题,提出并实现了一种基于新型网络模拟器NS3的认知网络仿真平台CRE-NS3。该平台扩展了认知无线电的频谱感知功能,采用跨层协作方法实现频谱在空、时、频多域的有效利用。实验结果表明,CRE-NS3平台可实现跨层协议和认知功能的仿真验证,并可扩展到实际大规模无线网络的应用中,为下一代无线网络关键技术的研究提供了重要验证工具。 Cognitive radio has been proposed as a viable solution to alleviate spectrum scarcity problems and improve spectrum efficiency. However, some related theories were difficult to be verified because of the absence of mature prototype and experimental platform. Also, some cross-layered protocols in cognitive radio networks cannot be trivially implemented in off-the-shelf hardware. To resolve these problems, therefore, a new cognitive radio extension framework based on NS3 simulator (CRE-NS3) was proposed and implemented. This simulation platform incorporated some functions of cognitive radio and cross-layered protocols to improve spectrum efficiency in space, time and frequency. The simulation results show that the CRE-NS3 verified the feasibilities of cross-layered protocols and cognitive capabilities. Moreover, it can be extended to the actual larger-scale cognitive networks, and provides an approach to research of key techniques in next- generation wireless networks.
Cognitive radio technology provides an important solution to alleviate the shortage of spectrum resources and improve spectrum utilization. However, there is currently a lack of mature prototypes and simulation platforms to validate relevant theories, and some experimental platforms and devices cannot achieve cross layer collaboration in cognitive networks. A cognitive network simulation platform CRE-NS3 based on a new network simulator NS3 is proposed and implemented to address the lack of simulation verification platforms and cross layer collaboration issues. This platform extends the spectrum sensing function of cognitive radio and adopts cross layer collaboration methods to effectively utilize the spectrum in multiple domains of space, time, and frequency. The experimental results indicate that the CRE-NS3 platform can achieve simulation verification of cross layer protocols and cognitive functions, and can be extended to practical large-scale wireless network applications, providing an important verification tool for the research of key technologies in next-generation wireless networks. Cognitive radio has been proposed as a viable solution to alleviate spectrum scaling problems and improve spectrum efficiency How, some related topics were complicated to be verified because of the absence of material prototype and experimental platform Also, some cross layered protocols in cognitive radio networks cannot be trivially implemented in off the shelf hardware To resolve these problems, there are, a new cognitive radio extension framework based on NS3 simulator (CRE-NS3) was proposed and implemented This simulation platform incorporated some functions of cognitive radio and cross layered protocols to improve spectrum efficiency in space, time, and frequency The simulation results show that the CRE-NS3 verified the capabilities of cross layered protocols and corresponding capabilities Beyond, it can be extended to the actual larger scale cognitive networks, and provides an approach to research of key technologies in next generation wireless networks
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