LTE-A与WiMax2网间切换的研究与实现

随着通信技术的迅速发展,在无线通信领域,无论是GSM,TD-SCDMA,WCDMA,CDMA2000,WLAN,LTE,还是LTEA、WiMax2等都有各自独立的优缺点,任何一种无线通信技术都不能独立支持所有业务的发展,多种技术的共存与融合将会成为未来移动通信网络发展的趋势。基于LTE-A(TDD)和WiMax2网络融合的可行性研究成果,提出了一种异构网络下基于相对信号强度,滞后差值和触发时长作为判断准则的垂直切换算法。最后,采用MATLAB仿真工具,建立LTE-A(TDD)与WiMax2混合组网的仿真模型,来验证该算法的可行性。     

使用米氏模型估计沙尘暴造成的波衰减

我国西北地区的沙尘暴或风沙天气对无线通信网络(例如GSM和CDMA网络)有严重的影响,即空气中的沉淀物导致微波/毫米波信号衰减。文章的主要目的是通过分析沙尘粒子以及沙尘暴的能见度等因素,使用基于米氏散射模型预测微波信号衰减来评估空气的沙尘对无线通信网络的影响。     

泛在网络中的等效频谱带宽概念及其在异构网络切换中的应用

未来无线通信系统将融合多种异构无线接入网络以提供泛在业务。为了表达用户在不同系统中占用的资源,为异构无线网络提出了等效带宽的概念,在此基础上将等效带宽用到异构网络切换控制中,同时将马尔科夫决策过程引入切换算法。仿真结果表明本算法相对于门限切换法有较好的期望收益。     

中兴：全新的GGG网关解决方案

GSM 1x技术是将GSM的核心网同CDMA 1x的无线接人部分结合起来的一项技术。该技术支持移动通信用户在GSM和CDMA两网之间漫游，并使用被访网络业务。通过GGG网关、双模手机加双模卡或两张单(双)模卡的方式实现。对于同时拥有GSM和CDMA网络的运营商，可以通过升级CDMA 1x网络来为两网用户提供数据业务，通过双模手机，使GSM用户不必更换号码就     

循环功率谱特征检测算法在认知超宽带无线通信的应用

认知超宽带无线通信技术结合了超宽带无线通信技术和认知无线电技术,信号频谱检测是认知超宽带无线通信系统的核心模块之一。循环平稳特性普遍存在于各种调制信号中,该文研究了一种新的检测算法循环功率谱特征检测算法,并以OFDM信号为例给出了软件仿真和性能分析。该检测算法能够区分有用信号,噪声信号和干扰信号,是最适合认知超宽带无线通信系统的。     

浅谈TDMA和CDMA的功率电平测量

功率电平是TDMA、CDMA无线通信网络中最基本的参数。文中叙述了利用几种常用传统仪器测量TDMA(GSM)和CDMA功率电平(传导功率)的结果及误差分析,介绍了TDMA(GSM)、CDMA基站功率等级配置及误差容限,重点分析了TDMA(GSM)、CDMA(IS-95)的功率电平特征及测量方法,简述了复合数字调制格式功率计的技术性能和特点,并与矢量信号分析仪的测量结果进行了比较。     

基于压缩感知的通信信号频谱检测方法

频谱感知是无线通信网络中提高频谱利用率的关键。针对现有通信信号频谱检测方法抗噪性低的问题,文中提出一种基于压缩感知的频谱检测方法。该方法首先利用压缩感知理论对通信信号的宽频带进行稀疏采样,其次采用改进的平滑范数重构算法对信号循环谱进行重构,提高了信号循环谱的重构性能,最后在循环谱域实现频谱检测。仿真实验结果表明,改进的平滑范数重构算法对信号的重构精度优于正交匹配追踪算法,压缩感知信号频谱检测算法的抗噪性优于传统能量检测算法。     

认知无线电中调制识别算法研究

通信信号的调制类型识别对于认知无线电这种智能通信系统具有重要研究意义。利用调制信号的循环谱相关特征,提取了5个特征参数,给出了各个参数随信噪比变化的曲线图。分类器基于RBF神经网络,采用"一类一个网络"结构,并从提高网络识别性能出发,构建了大容量和高质量的网络训练样本,能够扩大识别范围,提高识别精度。基于谱相关特征参数和神经网络分类器的算法能动态识别信号的调制方式,仿真结果验证了该算法在低信噪比下的有效性。     

GSM-R无线路测系统的研究与实现

GSM—R网络是新一代铁路无线通信系统,对其无线接口的路测（DT：drivetest）工具日益成为网络优化工作者的急需。首先介绍并分析了GSM—R网络结构、业务模型、无线接口协议,然后讨论了无线路测的目的以及对网络优化工作的意义。在总结并分析这些理论的基础上,给出一种适用于GSM／GSM—R网络的无线路测系统。该系统为GSM／GSM—R网优工作者提供了有效的工具。     

基于循环谱相关方法的MFSK信号识别

由于通信信号调制样式复杂多样,如何有效地识别通信信号调制类型是一个十分重要的课题。传统的信号处理都是假设所要处理的信号为随机平稳信号,但是在实际应用中,通信信号具有循环平稳性,是一种特殊的非平稳信号。首先介绍了循环平稳信号的特性循环谱相关概念,推导出MFSK信号的循环谱相关函数,分析了MFSK信号特征谱规律和可用于类内识别的特征参数,设计出MFSK信号的类内识别算法,仿真实验表明该算法能有效区分MFSK信号,并且在低信噪比下识别效果良好。     

异构无线网络中的共享载波垂直网络转换算法

为了提高异构无线网络的频谱利用率,将认知无线电中合作动态频谱分配(DSA)的思想应用于以基站和用户为基本单元的异构无线网络,将多模终端用户垂直切换的思想引入基站侧,提出了异构无线网络中的共享载波垂直网络转换(SCVNT)算法。理论分析与仿真实验表明,SCVNT算法可有效提高异构无线网络的总体信道利用率,改善资源分配的公平性,并可实现平滑升级,具有较高的应用价值。     

认知无线多跳网中保证信干噪比的频谱分配算法

为解决无线多跳网络在固定频谱分配方式下所固有的信道冲突等问题,利用认知无线电的动态频谱分配技术,提出了一种适用于次用户组成的无线多跳网络的、underlay方式下的全分布式频谱分配算法。该算法将频谱分配问题建模成静态非合作博弈,证明了纳什均衡点的存在,并给出了一种求解纳什均衡点的迭代算法。大量仿真实验证明,该算法能实现信道与功率的联合分配,在满足主用户干扰功率限制的同时,保证次用户接收信干噪比要求。     

A utility-based capacity optimization framework for achieving cooperative diversity in the hierarchical converged heterogeneous wireless networks

A hierarchical convergence mechanism for the heterogeneous wireless communication system via the heterogeneous cooperative relay node is presented in this paper, in which the techniques of cooperative communication and wireless relay are utilized to improve performances of the individual user and the overall converged networks. In order to evaluate the benefits of the proposal, a utility-based capacity optimization framework for achieving the heterogeneous cooperative diversity gain is proposed. The heterogeneous cooperative capacity, relay selection and power allocation theoretical models are derived individually. The joint optimization model for relay selection and power allocation is presented as well. Owing to the computation complexity, the sub-optimal cooperative relay selection algorithm, the sub-optimal power allocation algorithm and the sub-optimal joint algorithm are determined to approach the maximum overall networks' spectrum efficiency. These proposed algorithms are designed in conformance to guarantee the equivalent transmission rates of the different wireless access networks. The simulation results demonstrate that the utility-based capacity model is available for the heterogeneous cooperative wireless communication system, and the proposed algorithms can improve performances by achieving the cooperative gain and taking full advantage of the cross-layer design. Copyright © 2008 John Wiley & Sons, Ltd.     

Fault detection and diagnosis method for heterogeneous wireless network based on GAN

Aiming at the problem that in the process of network fault detection and diagnosis,how to train the precise fault diagnosis and detection model based on small data volume,a fault diagnosis and detection algorithm based on generative adversarial networks (GAN) for heterogeneous wireless networks was proposed.Firstly,the common network fault sources in heterogeneous wireless network environment was analyzed,and a large number of reliable data sets was obtained based on a small amount of network fault samples through GAN algorithm.Then,the extreme gradient boosting (XGBoost) algorithm was used to select the optimal feature combination of input parameters in the fault detection stage and completed fault diagnosis and detection based on these data.Simulation results show that the algorithm can achieve more accurate and efficient fault detection and diagnosis for heterogeneous wireless networks,with an accuracy of 98.18%.     

一种软件定义无线网络负载均衡架构及算法

软件定义网络( SDN)为实现异构无线网络中的负载均衡提供了新的思路。设计了一种软件定义的无线网络负载均衡架构,并提出对应算法。首先,根据接收信号强度构建候选网络列表;其次,根据各候选网络的可用负载比率标准差进行负载差异分级;再次,将服务质量匹配度函数和负载均衡指数线性组合成联合优化函数,并根据负载差异分级对联合优化的权重进行动态调整,合理设置门限进行接纳控制。与传统算法相比,所提算法一方面可使各类业务阻塞率明显降低大约20%,另一方面使不同网络的归一化负载更加接近。该算法在进行网络负载均衡的同时,能够有效降低业务阻塞率,从而有效提升异构无线网络的整体性能。     

A new handoff management system for heterogeneous wireless access networks

In heterogeneous wireless access networks, each mobile terminal may frequently need to change its base station (BS); this change is called a ‘handoff’. BSs have static parameters, which are related to their radio access technologies (RATs); however, they also contain dynamic parameters such as load and signal quality. Therefore, the problem of handoff decision includes two subproblems of RAT selection and BS selection. In this paper, first a ‘heterogeneous handoff management system’ for gathering all different required parameters is proposed. Second, a RAT Selection algorithm based on analytic hierarchy process and a BS Selection algorithm based on data envelopment analysis are designed. Finally, by means of ‘weight restriction’ technique, we develop a method for studying the impact of RAT Selection parameters on the performance of the network. Simulation results indicate that RAT Selection parameters have significant impact on the bandwidth utilization, energy consumption and the whole satisfaction of the users in heterogeneous wireless access networks.Copyright © 2012 John Wiley & Sons, Ltd.     

基于决策理论的信号调制识别改进算法

针对基于决策判决理论的传统算法对通信信号调制识别在低信噪比下正确识别率较低的问题,提出了一种基于多种特征参数判决的改进算法。利用高阶矩取代了利用零中心归一化瞬时幅值绝对值的标准偏差来区分ASK信号,对FSK信号采用功率谱谱峰数进行识别。仿真使用了包括模拟调制信号在内的多达11种不同类型的调制信号,仿真结果表明,在信噪比不低于8 dB下,该方法具有较高的正确识别率。     

Seamless session mobility scheme in heterogeneous wireless networks

The next generation wireless communication system will likely be heterogeneous networks, as various technologies can be integrated on heterogeneous networks. A mobile multiple‐mode device can easily access the Internet through different wireless interfaces. The mobile multiple‐mode device thus could switch to different access points to maintain the robustness of the connection when it can acquire more resources from other heterogeneous wireless networks. The mobile multiple‐mode device therefore needs to face the handover problem in such environment. This work introduces Session Initiation Protocol (SIP)‐based cross‐layer scheme to support seamless handover scheme over heterogeneous networks. The proposed scheme consists of a battery lifetime‐based handover policy and cross‐layer fast handover scheme, called the SIP‐based mobile stream control transmission protocol (SmSCTP). This work describes the major idea of the proposed scheme and infrastructure. The proposed scheme has been implemented in Linux system. The simulation and numerical results demonstrate that the proposed SmSCTP scheme yields better signaling cost, hand‐off delay time, packet loss and delay jitter than SIP and mSCTP protocols. Copyright © 2010 John Wiley & Sons, Ltd.     

自适应估计信号个数的频谱信号提取算法

无线电监测频谱数据中包含有大量的信号,准确提取这些信号有利于掌握全频段的频谱使用情况。实际信号的频谱由于受噪声干扰,会出现信号频带内个别频点能量值低于检测门限的情况,此时传统的门限检测算法会将该信号错估为多个信号,产生多个虚假的相邻信号间隔,导致频谱信号提取的准确率下降。对此,根据虚假相邻信号间隔特点,提出一种自适应估计信号个数的频谱信号提取算法,该算法可自动、准确估计频谱监测数据中电磁信号的个数,并将对应的信号及频谱信息提取出来。实验结果表明,该方法具有自适应性、强鲁棒性和高准确性,有效提高了频谱信号提取的准确率,为军、民电磁环境的识别与掌握提供基础的电磁信号数据支撑。     

常规调制信号与扩频信号的调制识别算法

由于直扩信号（Direct Sequence Spread Spectrum, DSSS）通常淹没在噪声中,为了有效地识别直扩信号、跳频信号（Frequency Hopping Spread Spectrum, FHSS）和常规调制信号,提出基于瞬时特征和高阶累积量的识别算法。首先推导证明了FM、MFSK、MPSK、DSSS、FHSS信号的归一化四阶累积量切片 是相同的,并推导得到AM和MQAM的 通用公式。然后,利用归一化四阶累积量切片 特征参数检测噪声中通信信号,利用占用带宽特征参数将信号分为扩频信号和常规调制通信信号两类;最后利用瞬时特征参数和高阶累积量特征参数,分别识别扩频信号和5种常规调制通信信号。仿真结果表明,当信噪比高于1dB时,该算法对上述7种信号的正确识别率可达到100%。