基于区分服务的自适应跨层调度算法

中高速传感器网络中不同业务对QoS有不同的要求。针对该情况,引入区分服务的思想,提出一种适合混合业务的多元参数自适应跨层调度算法。该算法根据不同的业务动态调整时延补偿因子和吞吐量补偿因子,使实时业务能满足时延较小的要求,非实时业务能满足吞吐量较大的要求。仿真结果表明,该调度算法可以灵活地在系统效率和用户服务质量满意度之间取得折中,保证不同类型业务用户间的公平性。     

MHWSN中保证混合业务QoS的跨层调度算法

针对中高速传感器网络中混合业务QoS（Quality of Service）要求,跨层考虑物理层和数据链路层参数,提出了一种保证混合业务服务质量的调度算法AM-LWDF。该算法同时考虑时延优先级和吞吐量优先级,在满足实时业务QoS约束的前提下,以最大化系统吞吐量为目标建立了相应的优化模型,对实时业务能够满足时延较小的要求,对非实时业务满足吞吐量较大的要求。仿真结果表明,该调度算法可以灵活地在时延和吞吐量之间取得满意的折衷,并保证不同类型业务用户间的公平性。     

中继OFDMA系统混合业务的分步跨层调度算法*

由于实时和非实时两类业务具有不同的QoS要求,因此需要设计一种混合分组调度算法为两类业务用户提供QoS保证。在分析传统的PF与M-LWDF算法的基础上,根据已有的信道条件和不同的业务需求,使用MATLAB搭建系统仿真平台,设计了分步的跨层调度策略。仿真结果表明,该算法在满足公平性要求的情况下,不但能保证实时业务的时延需要,而且能够获得很好的吞吐量。     

长期演进系统基于加权平均时延的下行资源调度

针对长期演进（LTE）移动通信系统下行链路传输中多用户的实时（RT）与非实时（NRT）业务传输性能需求问题，提出一种基于用户加权平均时延的改进型的最大加权延时优先（MLWDF）资源调度算法。该算法在考虑信道感知与用户服务质量（QoS）感知的基础上引入反映用户缓冲区状态的加权平均时延因子，该因子通过用户缓冲区中待传输数据与已发送数据的平均时延均衡得到，使具有较大时延和业务量的实时业务优先调度，提升了用户的性能体验。理论分析与链路仿真表明，提出算法在保证各业务时延及公平性的基础上，提升了实时业务的QoS性能，在用户数量达到50的条件下，对比MLWDF算法实时业务的丢包率降低了53.2%，其用户平均吞吐量提升了44.7%，虽牺牲了非实时业务的吞吐量，但仍优于VT-MLWDF算法。实验结果表明，所提算法在多用户多业务传输条件下提升了实时业务的传输性能，并在QoS性能上明显优于对比算法。     

基于混合业务QoS的LTE跨层调度算法

在众多资源分配的调度算法中,区别实现混合业务QoS要求的调度策略研究不多。针对现有调度算法不能同时满足多用户实时和非实时业务性能需求,提出了一种保证混合业务QoS的LTE系统下行资源分配算法。新算法采用跨层设计思想下的资源块分配机制,在EXP算法的基础上引入权重因子。仿真表明新算法能够大幅度降低LTE系统用户丢包率,改善用户公平性和吞吐量性能。     

基于信道状态的WiMAX系统实时调度算法

介绍了M-LWDF、EXP和CD-EDD三种经典的实时调度算法,并在此基础上提出一种基于信道状态的WiMAX系统的实时调度算法CBRTS(channel-based real-time scheduling)。该算法核心思想是在数据链路层中考察物理层信道的传输条件,从而进一步将有限的无线资源更加合理地分配给用户。仿真结果表明,提出的算法具有更高的吞吐量、更小的时延和丢包率,能满足实时业务的QoS要求。     

基于Fibonacci的动态带宽分配算法

针对WiMAX系统中混合业务的特点,提出一种基于Fibonacci的动态带宽分配算法。介绍Fibonacci数列以及带宽调度的体系结构,对于实时轮询业务,在达到其能容忍的最大时延之前完成带宽分配。实验结果表明,与亏空公平优先队列算法相比,该算法能满足不同类型业务的QoS需求,提高系统吞吐量,且具有较好的服务公平性。     

基于无线网络的混合业务资源调度算法

WCDMA系统混合业务下的资源调度算法要区分业务以保证用户的服务质量(QoS)。基于此,在研究最大加权延时优先算法(M-LWDF)的基础上通过引入QoS监测机制提出一种保证混合业务服务质量的资源调度算法,在业务调度中同时考虑时延优先级和吞吐量优先级,并采用传输时延保证的资源分配准则。仿真结果表明,该算法在时延和吞吐量水平上要优于已有的调度算法。     

基于业务QoS保证的中继系统资源分配算法

在基于正交频分多址（OFDMA）的中继系统中,为了满足用户的QoS要求,保证系统的吞吐量最大的同时又保证用户公平性,给出了一种面向业务服务质量的资源分配算法。先根据用户在队列中的等待时延和用户对速率的需求引入时延优先级因子和速率优先级因子,以此计算用户的优先级。然后分别在回程链路和接入链路进行动态资源调度与分配。仿真结果表明,新算法能够兼顾中继用户和直传用户的性能,实现低丢包率、较好地满足 GBR需求,实现较高的系统吞吐量和公平性。     

基于WCDMA系统混合业务的新型调度算法

WCDMA系统混合业务下设计调度算法要考虑信道条件,要区分业务保证用户的QoS要求,避免用户“饥饿”现象,同时也要尽可能提高整个系统的吞吐量和调度的公平性。由此,在比例公平调度算法（PFS）基础上基于C/I、QoS、饥饿权重提出区分业务类型的比例公平分组调度算法（CQSSD－PFS）,同时引入实时业务和系统容量补偿模型,仿真结果表明可有效确保各类业务之间的短期、长期公平性和较高的系统吞吐量。     

Differentiation, QoS guarantee, and optimization for real-time traffic over one-hop ad hoc networks

Nodes having a self-centrically broadcasting nature of communication form a wireless ad hoc network. Many issues are involved to provide quality of service (QoS) for ad hoc networks, including routing, medium access, resource reservation, mobility management, etc. Previous work mostly focuses on QoS routing with an assumption that the medium access control (MAC) layer can support QoS very well. However, contention-based MAC protocols are adopted in most ad hoc networks since there is no centralized control. QoS support in contention-based MAC layer is a very challenging issue. Carefully designed distributed medium access techniques must be used as foundations for most ad hoc networks. In this paper, we study and enhance distributed medium access techniques for real-time transmissions in the IEEE 802.11 single-hop ad hoc wireless networks. In the IEEE 802.11 MAC, error control adopts positive acknowledgement and retransmission to improve transmission reliability in the wireless medium (WM). However, for real-time multimedia traffic with sensitive delay requirements, retransmitted frames may be too late to be useful due to the fact that the delay of competing the WM is unpredictable. In this paper, we address several MAC issues and QoS issues for delay-sensitive real-time traffic. First, a priority scheme is proposed to differentiate the delay sensitive real-time traffic from the best-effort traffic. In the proposed priority scheme, retransmission is not used for the real-time traffic, and a smaller backoff window size is adopted. Second, we propose several schemes to guarantee QoS requirements. The first scheme is to guarantee frame-dropping probability for the real-time traffic. The second scheme is to guarantee throughput and delay. The last scheme is to guarantee throughput, delay, and frame-dropping probability simultaneously. Finally, we propose adaptive window backoff schemes to optimize throughput with and without QoS constraints.     

Energy efficient and QoS based routing protocol for wireless sensor networks

The increasing demand for real-time applications in Wireless Sensor Networks (WSNs) has made the Quality of Service (QoS) based communication protocols an interesting and hot research topic. Satisfying Quality of Service (QoS) requirements (e.g. bandwidth and delay constraints) for the different QoS based applications of WSNs raises significant challenges. More precisely, the networking protocols need to cope up with energy constraints, while providing precise QoS guarantee. Therefore, enabling QoS applications in sensor networks requires energy and QoS awareness in different layers of the protocol stack. In many of these applications (such as multimedia applications, or real-time and mission critical applications), the network traffic is mixed of delay sensitive and delay tolerant traffic. Hence, QoS routing becomes an important issue. In this paper, we propose an Energy Efficient and QoS aware multipath routing protocol (abbreviated shortly as EQSR) that maximizes the network lifetime through balancing energy consumption across multiple nodes, uses the concept of service differentiation to allow delay sensitive traffic to reach the sink node within an acceptable delay, reduces the end to end delay through spreading out the traffic across multiple paths, and increases the throughput through introducing data redundancy. EQSR uses the residual energy, node available buffer size, and Signal-to-Noise Ratio (SNR) to predict the best next hop through the paths construction phase. Based on the concept of service differentiation, EQSR protocol employs a queuing model to handle both real-time and non-real-time traffic.     

基于优先级的服务区分和速率控制策略

针对中高速无线传感器网络中不同种类的网络流量对服务质量的需求,提出一种基于优先级的服务区分和速率控制策略。该策略对实时性和可靠性要求强的流量赋予高优先级以进行服务区分;并利用ε因子计算节点的速率差,逐跳地调整其上游节点的发送速率。仿真结果表明,所提出的策略能够保证高优先级实时流量具有高吞吐量和低延迟,并保持网络吞吐量的稳定。     

层次型IPv4网络QoS算法

网络服务质量Qo S在层次型网络中要求更高.从OSI参考模型的第二层与第三层出发,分析了传统的Qo S体系结构和三种Qo S模型的工作原理、优缺点以及网络应用环境.设计了将Int Serv与Diff Serv模型相结合的互补算法来保证层次型网络的服务质量.仿真结果表明,此模型能够从传输延迟、丢包率、延时抖动和网络吞吐量等多个方面提升网络的Qo S.     

具有任意自由度的B样条非均匀细分*

为了便于工程实际应用,非均匀细分方法现在已经成为计算机图形学和几何建模中的热点问题。本文提出一个具有任意自由度的B样条非均匀细分算法,其实现与B样条均匀细分即Lane–Riesenfeld细分方法相似。该算法包含了非均匀d环结构生成的双重控制点,其中d环相似于d度均匀B样条曲线的Lane-Riesenfeld算法中均匀的d环结构。Lane-Riesenfeld算法是由B样条曲线基函数的连续卷积公式直接得出的,而本文的算法是blossoming方法的一个扩展。对于非均匀B样条曲线来说,本文的节点插入方法比之前的方法更简单更有效。     

Modelling and performance evaluation of the IEEE 802.11 DCF for real-time control

Popular wireless networks, such as IEEE 802.11/15/16, are not designed for real-time applications. Thus, supporting real-time quality of service (QoS) in wireless real-time control is challenging. This paper adopts the widely used IEEE 802.11, with the focus on its distributed coordination function (DCF), for soft-real-time control systems. The concept of the critical real-time traffic condition is introduced to characterize the marginal satisfaction of real-time requirements. Then, mathematical models are developed to describe the dynamics of DCF based real-time control networks with periodic traffic, a unique feature of control systems. Performance indices such as throughput and packet delay are evaluated using the developed models, particularly under the critical real-time traffic condition. Finally, the proposed modelling is applied to traffic rate control for cross-layer networked control system design.