IPv6网络环境下的多路径QoS路由算法

在探测法的基础上,结合IPv6的服务质量机制,提出了一种IPv6网络环境中基于选择性探测法的多路径QoS路由算法.仿真实验表明,该算法不仅能以较少的探测包,搜索出多条可行路径,而且能减少网络链路拥塞,提高网络资源利用率.     

A Reliable Adaptive High-Definition Transmission System for Distance Learning

There is an increasing demand for supporting high-quality real-time audiovisual services for the next generation wired and wireless networks. However, due to variety of bandwidths of different networks, it is a great challenge for deployment. In this paper, a novel high-definition (HD) video transmission system was proposed which depends upon reliable compound multicast protocols and QoS control over the various kinds of networks. This system detects client's network condition and assigns it to a proper proxy. Each proxy is capable of detecting network parameters and adaptively tuning such transport parameters as bit rate, video resolution, frame rate and QoS mechanisms to this condition. It also provides FEC error recovery under consideration of characteristics of MPEG4 video codec. Our simulation demonstrates that different network clients such as ADSL, CERNET, and CERNET2 can receive more video reliability with less delay.     

QoS awared power and admission controls based on non-cooperative game theory in wireless networks

In order to better accommodate heterogeneous quality of service (QoS) in wireless networks, an algorithm called QeS-aware power and admission controls (QAPAC) is proposed. The system is modeled as u non- cooperative game where the users adjust their transmit powers to maximize the utility, thus restraining the interferences. By using adaptive utility functions and tunable pricing parameters according to QoS levels, this algorithm can well meet different QoS reqniremcnts and improve system capacity compared with those that ignore the QoS differ- ences.     

基于定长帧的组播QoS路由技术

为高效利用网络资源且平衡负载,结合物理帧时槽交换技术,提出了基于定长帧的组播机制和QoS路由算法MRBP.该算法在满足带宽和时延要求的基础上,最小化时延和平衡节点负载,达到组播树总体时延较小并优化利用网络资源的目的.仿真结果表明,基于该算法建立的组播树具有较好的网络负载平衡性,并能够对服务质量提供较好的保证.     

A Distributed and adaptive framework for provisioning QoS in IPv6 networks

A distributed and adaptive framework （DAF） was proposed for provisioning quality of service （QoS） in IPv6 network. In DAF, per-flow admission control and resource reservation, in conjunction with a new IPv6 flow label mechanism, can be performed instantaneously in a fully distributed and independent fashion at the edge of network without hop-by-hop signaling. The flow label helps in resource reservation and packets forwarding for aggregated traffic on an edge-to-edge path basis. In addition, a bounded directional probing technique for DAF was designed to reconfigure resource reservation adaptively between every pair of edge router for aggregated traffic according to the fluctuation of its traffic load. The simulation results show that DAF provides QoS guarantees to individual flows with minimal overhead, as well as keeping the scalability characteristic like DiffServ.     

自组网中基于能量约束的QoS多播路由优化算法

在分析基于能量优化多播路由算法的基础上,提出了一种QoS多播路由的网络模型,并在网络模型的基础上,结合能量模型、极值元素组合和改进的遗传算法提出了一种基于能量的QoS多播路由优化算法EQMROA.仿真结果表明此算法是可行和有效的.它为移动Ad Hoc 网络QoS多播路由技术提供了一种新的有效途径.     

基于能效的D2D通信系统中资源复用策略研究

针对D2D通信(device-to-device communication)与传统蜂窝通信共存下的能效资源复用问题,联合考虑蜂窝用户和D2D用户对的QoS约束,结合电路消耗功率,提出一种基于能效的D2D用户对与蜂窝用户最优匹配的资源复用和功率分配策略,分析了D2D用户对复用蜂窝用户资源的最优功率的存在性,并用分式规划理论求解了该最优功率的闭合表达式.仿真结果表明,相比已有算法,所提的能效资源复用策略的D2D用户的总能效最优,并且该总能效在低QoS要求下相比最大化和速率算法提高36.25%,高QoS要求下略高于基于节能的功率分配算法,同时还具有1.7~3 Mbit/s的和速率.      

Joint Tomlinson-Harashima source and linear relay precoder design in amplify-and-forward multiple-input multiple-output two-way relay systems

Existing minimum-mean-squared-error (MMSE) transceiver designs in amplified-and-forward (AF) multiple-input multiple-output (MIMO) two-way relay systems all assume a linear precoder at the sources. Nonlinear source precoders in such a system have not been considered yet. In this paper, we study the joint design of source Tomlinson-Harashima precoders (THPs), relay linear precoder and MMSE receivers in two-way relay systems. This joint design problem is a highly nonconvex optimization problem. By dividing the original problem into three sub-problems, we propose an iterative algorithm to optimize precoders and receivers. The convergence of the algorithm is ensured since the updated solution is optimal to each sub-problem. Numerical simulation results show that the proposed iterative algorithm outperforms other algorithms in the high signal-to-noise ratio (SNR) region.     

铁路宽带移动通信网络规划技术研究

提出了一种铁路宽带移动通信网络的规划方法.该方法参照通用WiMAX网络规划步骤,分析了典型铁路移动通信业务的通信速率和服务质量（QoS）需求,结合铁路使用环境进行了各类业务的链路预算并得出网络覆盖能力,就覆盖能力数据提出了典型铁路设定情况下的容量规划算法原则,最后基于OPNET软件对典型铁路WiMAX网络的规划方案进行了仿真.     

An Iterative Power Allocation Algorithm for Group-wise Space-Time Block Coding Systems

An iterative transmit power allocation (PA) algorithm was proposed for group-wise space-time block coding (G-STBC) systems with group-wise successive interference cancellation (GSIC) receivers. Group-wise interference suppression (GIS) filters are employed to separate each group's transmit signals from other interferences and noise. While the total power on all transmit symbols is constrained, all transmit PA coefficients are updated jointly according to the channel information at each iteration. Through PA, each detection symbol has the same post-detection signal to interference-and-noise ratio (SINR). The simulation results verify that the proposed PA algorithm converges at the equilibrium quickly after few iterations, and it achieves much lower bit error rates than the previous single symbol SIC PA and the fixed ratio PA algorithms for G-STBC systems with GSIC receivers .     

自组网中稳定的基于位置预测的QoS路由算法

由于自组网中节点的移动性和拓扑结构的易变性,路由成为最关键的问题.为了减少路由重构,降低网络控制开销和提供QoS支持.提出一种稳定的基于位置预测的QoS路由算法.该算法使用GPS获取节点的位置信息,利用该位置信息限制路由的搜索范围;同时使用移动预测技术判断路由的稳定性,从而选择一条稳定的、满足QoS约束条件的路由.仿真实验结果表明该算法降低了网络负载,提高了网络数据传输率.     

基于车路协同多业务优先级的车载通信退避算法

为研究车路协同下不同优先级业务的通信,打破传统IEEE802.11 标准的CSMA/CA(Carrier Sense Multiple Access/Collision Avoidance)协议所采用的二进制指数退避策略（Binary Exponential Backoff, BEB）仅适用于传统业务如语音、视频等业务,而未考虑车路协同场景典型业务及其优先级的限制,提出一种面向车路协同的车载通信退避算法。首先,研究车路协同场景下的典型通信业务;然后,利用层次分析法建立了业务优先级层次结构模型,对车路协同下的业务进行了优先级的划定;最后,基于车路协同多业务优先级不同对传统BEB算法进行改进,提出一种面向车路协同的车载通信退避算法。通过仿真,验证了所提算法具有良好的适应性,可针对不同业务优先级,提供差异化的信息资源和业务传输保障,相对于传统的通信协议系统丢包率降低,系统吞吐量增加。     

Robust buffer management mechanism in quality of service routers

Active queue management (AQM) is essentially a router buffer management strategy supporting TCP congestion control. Since existing AQM schemes exhibit poor performance and even instability in time delay uncertain networks, a robust buffer management (RBM) mechanism is proposed to guarantee the quality of service (QoS). RBM consists of a Smith predictor and two independent controllers. The Smith predictor is used to compensate for the round trip time (RTT) delay and to restrain its negative influence on network performance. The main feedback controller and the disturbance rejection controller are designed as proportional-integral (PI) controller and proportional (P) controller by internal model control (IMC) and frequency-domain analysis respectively. By simulation experiments in Netwrok-Simulator-2 (NS2), it is demonstrated that RBM can effectively manage the buffer occupation around the target value against time delay and system disturbance. Compared with delay compensation-AQM algorithm (DC-AQM), proportional-integral-derivative (PID) algorithm and random exponential marking (REM) algorithm, the RBM scheme exhibits the superiority in terms of stability, responsiveness and robustness.     

数据网格中一种QoS驱动的副本选择算法

以移动Agent作为任务载体,代表用户应用程序在分散的数据网格环境下智能地进行副本选择.利用移动Agent与各个副本宿主节点的本机通信来替代传统的远程访问方式,从而避免大量的副本传输,节省网络带宽资源.提出了一种由用户QoS（服务质量）驱动的副本选择算法,开发出基于Java Swing的实验演示系统,并针对于3种不同的QoS目标对移动Agent的迁移进行了模拟试验.实验表明提出的副本选择算法能够根据用户的不同QoS偏好来优化副本选择,当网格规模较大时更能凸显对用户QoS偏好的优化效果.     

CDMA 网络中基于 QoS 保证的呼叫接纳控制策略

基于CDMA（code division multipleaccess）系统接纳控制（call admission control，CAC）机制没有完全考虑各种多媒体业务的现状，研究了CDMA系统中剩余容量的计算方法，采用更加符合目前无线多媒体网络中业务实际情况的业务模型，给出了一种针对多媒体业务的基于QoS（quality of service）保证的动态CAC算法．分析与仿真结果表明，该算法在保证各种业务QoS要求的情况下，可以显著改善CDMA系统的呼叫等待延时和中断率等性能，提高系统资源的利用率．     

Dynamic wavelength and bandwidth allocation using adaptive linear prediction in WDM/TDM ethernet passive optical networks

Hybrid wavelength-division-multiplexing (WDM)/time-division-multiplexing (TDM) ethernet passive optical networks (EPONs) can achieve low per-subscriber cost and scalability to increase the number of subscribers. This paper discusses dynamic wavelength and bandwidth allocation (DWBA) algorithm in hybrid WDM/TDM EPONs. Based on the correlation structure of the variable bit rate (VBR) video traffic, we propose a quality-of-service (QoS) supported DWBA using adaptive linear traffic prediction. Wavelength and timeslot are allocated dynamically by optical line terminal (OLT) to all optical network units (ONUs) based on the bandwidth requests and the guaranteed service level agreements (SLA) of all ONUs. Mean square error of the predicted average arriv-ing rate of compound video traffic during waiting period is minimized through Wiener-Hopf equation. Simulation results show that the DWBA-adaptive-linear-prediction (DWBA-ALP) algorithm can significantly improve the QoS performances in terms of low delay and high bandwidth utilization.     

MRT列车运行模拟模型的多目标改进遗传算法

为了求解城市快速交通（MRT）列车运行模拟模型，寻找最优的列车运行控制曲线，构造了多目标改进遗传算法．以列车运行过程中工况转换点为基因编码依据，以多个基因构成一个染色体代表一个控制方案，从而形成初始种群；根据列车运行控制的停站误差、时分误差和能耗等目标要求设计适应值函数；通过个体有效性检查保证选择、交叉和变异过程中新个体的有效性，并在各算子中加入保优算子，使新种群不淘汰上一代最优个体．实例计算表明，与多质点优化模型相比，在一定的误差范围内，遗传算法能够减少能耗10％以上，并能提供大量次优解，具有明显的优化效果．     

A novel vertical handoff algorithm based on fuzzy logic in aid of grey prediction theory in wireless heterogeneous networks

To coordinate the various access technologies in the 4G communication system, intelligent vertical handoff algorithms are required. This paper mainly deals with a novel vertical handoff decision algorithm based on fuzzy logic with the aid of grey theory and dynamic weights adaptation. The grey prediction theory (GPT) takes 4 sampled received signal strengths as input parameters, and calculates the predicted received signal strength in order to reduce the call dropping probability. The fuzzy logic theory based quantitative decision algorithm takes 3 quality of service (QoS) metric, received signal strength (RSS), available bandwidth (BW), and monetary cost (MC) of candidate networks as input parameters. The weight of each QoS metrics is adjusted along with the networks changing to trace the network condition. The final optimized vertical handoff decision is made by comparing the quantitative decision values of the candidate networks. Simulation results demonstrate that the proposed algorithm provides high performance in heterogeneous as well as homogeneous network environments.     

基于蚁群算法的多QoS约束的多播路由优化算法

蚁群算法是一种新型的随机优化算法,能有效地解决QoS受限的多播路由问题.文中基于蚂蚁具有找到蚁巢与食物之间的最短路径的工作原理,并在分析多约束QoS的多播路由的基础上,提出了一种具有全局优化能力的多播路由算法(OQMRA),仿真实验表明了该算法是合理的和有效的.     

���ߴ�������QoS���Ϲؼ������о���Ӧ��

结合传统数据通信网络的QoS保障机制研究成果及无线传感器网络自身特点,针对青藏冻土地温自动监测的应用特点,提出能量的高效利用、数据的可靠传输和网络生存周期的有效延长是其QoS保障的主要需求和关键点。并以此关键点为目标,研究了青藏冻土地温监测的无线传感器网络QoS保障机制的能量优化策略,提出了非均匀分簇路由算法并进行了深入分析。最后,通过仿真验证及在青藏冻土地温自动监测的试点应用,验证非均匀分簇路由算法能有效提高网络的生命周期和数据传输可靠性。研究成果将为建立无线传感器网络相关应用系统提供理论支撑和模型参考。