Precoding with interference suppression sequence scheme for OFDM-based cognitive radio systems

Orthogonal frequency division multiplexing(OFDM)is considered to be one of the promising schemes for cognitive radios(CR)systems,due to its flexibility in spectrum shaping.However,the traditional way of spectrum-notching failed to suppress out-of-band leakage enough,resulting in interference with licensed users(LUs).A novel spectrum shaping scheme is proposed in this article,where a precoder with interference suppression sequence(ISS)is for the first time introduced for shaping the spectrum of OFDM signals in OFDM-based CR systems.The precoder matrix together with ISS matrix is obtained by minimizing the power of out-of-band interference,which results in the sufficient interference suppression of OFDM signal to LUs.Analysis and simulation results show that the proposed scheme can significantly suppress the interference power to LUs at a little cost of precoding efficiency.Meanwhile,the peak-to-average-power-ratio(PAPR)is invariable and the bit-error-rate(BER)performance over Rayleigh fading channel is improved.     

Network selection policy in multi-radio access environment using stochastic control theory

Network selection is crucial in improving the performance of heterogeneous wireless access systems.Most of previous work on network selection or radio resource allocation concentrates on the capability of each available network and ignores the time-varying nature of wireless media due to channel fading.However,the channel condition determines the state of each wireless network and plays a vital role in ensuring quality of service in multi-radio access environment.In this article,we propose a network selection policy using stochastic control theory considering the time-varying and stochastic character of wireless channels.The proposed scheme selects one network among different alternatives in each decision epoch according to the channel state of each network,which is modeled as finite-state Markov channel,with the objectives of increasing the data-rate,decreasing the bit error rate and minishing the delay.The procedure of network selection is formulated as a stochastic control problem,which can be solved using linear programming and primal-dual index heuristic algorithm.Simulation results are presented to show that network selection has great impact on the system performance,and the proposed scheme can improve the performance significantly.     

Analysis of secondary throughput and optimization in cooperative spectrum sensing

In cooperative spectrum sensing,more secondary user makes more opportunity for detecting the vacant spectrums,which resulting the spectrum utilization improved,however much bandwidth would be occupied for sending the local observation results,inducing the reduced secondary throughput.In this paper,an adaptive algorithm for selecting detection threshold was proposed,where the maximized secondary throughput can always be achieved while assuring sufficient protection to primary user,regardless of the number of...     

KKT-based iterative algorithm for beamforming in cognitive radio system

In this paper,we consider the downlink channel of multi-user multi-input single-output(MU-MISO)system in cognitive radio network,where the cognitive base station(CBS)resort to beamforming scheme to relief co-channel interference.The design criterion is to minimize the transmit power at CBS,subject to the signal-to-interference-plus-noise-ratio(SINR)constraints of cognitive users(CUs)and the interference constraints at primary users(PUs).Standard conic optimization packages can handle the problem,however,the...     

WIRELESS BODY-AREA NETWORKS

The last decade has witnessed the convergence of three giant worlds:electronics,computer science and telecommunications.The next decade should follow this convergence in most of our activities with the generalization of sensor networks.In particular with the progress in medicine,people live longer and the aging of population will push the development of wireless person-     

H.264变换编码与量化原理及优化研究

本文分析了H.264视频编码标准中的整数变换和量化过程。H.264采用从DCT变换演化而来的4×4整数变换,使变换算法复杂度减小,同时消除了浮点运算导致的失配现象。将尺度调整融合在量化过程中,减少乘法次数,使H.264标准相对于以前的编码标准更加有效。同时通过采用SSE2指令,实现H.264变换与量化的优化算法,实验结果表明此算法有效地提高了编码速度。     

MPLS流量工程及其路径管理机制的实现

本文介绍了基于MPLS的流量工程机制,着重就其中的路径管理技术进行了分析,并分别给出了基于不同度量参数的路由算法。     

衰落信道下提高协作频谱感知能力的方法

由于协作频谱感知能够更准确地确定主用户的存在与否,因此,它被认为是认知无线电技术中的一个重要研究分支.在协作频谱感知中,各认知用户需要通过报告信道发送其本地判决结果(0或1)到融合中心(FC).然而,在实际中,报告信道通常受衰落的影响,这将降低频谱感知的检测性能.针对这个问题,首先,文中提出一种基于认知用户选择的协作频谱感知算法.该算法通过减小由衰落信道引入的误码概率来提高协作频谱感知的检测性能.其基本思想为:只有具有较好瞬时信道增益报告信道的认知用户才将其本地二进制判决结果发送到FC,否则,该认知用户不发送其本地检测结果到FC.其次,提出一种基于空时编码的协作频谱感知方法.通过在CR网络中,利用空间分集增益来降低由衰落型报告信道引入的误码概率,从而提高检测性能.最后,对提出的这两种协作频谱感知方法的检测性能进行理论分析研究,并对其进行数值仿真.仿真结果表明:相比于传统的协作频谱感知,本文提出的这两种协作频谱感知算法都能提高对主用户的检测性能.     

嫦娥二号工程X频段测控通信系统设计与试验

针对月球以远深空探测任务中,远距离、长时延、弱信号的测控通信难点,有效手段之一就是提高射频频率.为此,在嫦娥二号工程中首次开展了X频段测控通信技术试验.本文重点研究了X频段测控通信系统天地一体化的设计与实现,阐述了技术试验系统的组成、关键技术攻关情况、系统试验与测试方法.试验结果表明,与S频段测控通信系统相比,X频段在链路性能、测定轨精度方面有显著提高,将正式作为后续月球及深空探测的主要频段.     

基于场景模型与统计学习的鲁棒行人检测算法

提出一种基于场景模型和统计学习的行人检测算法. 针对训练行人检测器时面临的动态场景的复杂性和行人样本多样性等问题, 通过背景建模, 从场景的背景图像上提取有限的负样本用于训练, 大幅度提高了分类器的检测率, 同时降低了虚警; 提出一种快速弱分类器选择算法, 根据正、负样本特征大小的分布和期望的检测率, 直接求解特征大小的阈值范围, 能够满足在线训练和更新检测器的要求; 提出一种基于正样本错误率的训练算法, 先根据正样本加权错误率选择弱分类器, 快速提高检测率, 在训练结束后调整最终分类器的加权系数, 在保证检测率的同时尽可能降低虚警率. 实验中构建了一个试验视频数据库和行人样本库, 数据库包括雨、雪、阴影、季节变化、摄像机平移、旋转、缩放等情况, 并设计实现了一个实时行人检测系统BMAT (Background modeling and Adaboost training), 实验结果证明了算法的有效性.