双重控制策略在流媒体连续播放中的应用

传统的发送速率控制和播放速率控制由于各自的局限性,很难克服网络时延扰动对流媒体连续播放的影响.为了改善播放系统的性能,将双重控制策略应用到流媒体播放中,在发送端发送速率控制采用了内模控制器以克服传输延迟的影响,在接收端播放速率控制采用了简单的PID控制器,两种控制共同调节缓冲区长度.实验表明该方法能够处理传输时延和网络扰动引起的失步对播放的影响,缓冲区长度能够稳定在合理的区间,有效地防止缓冲区下溢造成的播放停顿以及缓冲区上溢造成的播放跳跃.发送速率变化率较小,有利于避免网络拥塞的发生.尤其是在网络出现大的扰动时,与其他方法相比,控制效果更加理想,播放更加流畅.     

基于DASH的混合控制码率算法

针对平滑流（SF）算法在带宽预测时存在的"毛刺"现象以及仅依靠带宽预测而没有缓存区控制所导致的频繁播放停滞的问题,提出一种动态自适应混合控制码率算法。首先,通过使用标准差来代替原SF算法中波动参数的计算,消除了预测带宽存在的"毛刺"现象;其次,针对原SF算法存在没有考虑缓存区状态所带来的频繁播放停滞问题以及传统缓存区控制算法存在分级困难的问题,引入一种基于缓存区容量的新型缓存区控制策略;最后,将改进SF算法与新型缓存区控制策略相结合形成混合算法来选择视频码率。实验结果表明,混合算法不但消除了原SF算法在带宽预测中存在的毛刺现象,而且弥补了仅依靠单一算法选择码率的不足,使得所选码率视频既降低了播放停滞频率（恶劣网络环境下效果明显,降低43%左右）又符合实际网络情况,提高了用户的观看体验。     

Seamless handover supported by parallel polling and dynamic multicast group in connected WLAN micro-cells system

WLAN (Wireless Local Area Network) has been seen to be one of the promising access technologies that adapts to 4G cellular network systems in providing very high speed connection with QoS guarantee through the polling function. However, when the handover happens, the contention-based medium access mechanism which is mainly used in WLAN is invoked and introduces unbounded transmission delay due to idle time periods and retransmission because of collision during the handover. If this technique is expanded to use in a microcellular network such as connected WLAN micro-cells, contention-based mechanism, therefore, should not be used to handle the MT’s handover, especially for vehicular users who change access point every few seconds. To overcome these difficulties in handover, we introduce parallel polling scheme in dynamic LMC (Logical Macro Cell) which can reduce delays much and remove packet loss rate. LMC is a virtual single macro cell which is built on a multicast group of adjacent micro-cells. In the same LMC, polling signals are sent from every BS (base station) to give MT (mobile terminal) permission to access one of these BSs. Instead of wasting much time to contend for resources of a new BS during handover, the MT answers the polling as an acknowledgment to connect to that new BS. The polling response is controlled to multicast to all BSs of the same LMC via the core network to synchronize for the next polling cycle. LMC is controlled to dynamically change when the MT comes in a new BS to make polling signals be continuous in a new LMC. Through analytical and simulation results, we show that the parallel polling scheme can achieve no handover latency, no packet loss and maintain mobile users’ throughput stably in the high traffic load condition though it causes overhead on the neighboring cells in both of wired and wireless sections. At speeds of up to70 m/s, the MT can still maintain its stable connection. OMNeT++ simulator with INET project is used to evaluate our proposal.     

面向QoS的域间实时流覆盖组播方法研究

针对跨域远程协作中的实时流通信质量问题,构建了实时流服务网格（LSSG）,这是一个可扩展的且面向用户QoS需求的覆盖组播通信中间件结构,LSSG服务由网络服务提供商策略部署的服务代理（SvB）提供。论文主要采用面向QoS的域间覆盖组播算法（QIOM）来组织SvB建立实时流组播服务树,根据用户服务质量请求提供跨自治系统的实时流组通信服务,将域间资源管理转变为流媒体应用的动态协同服务管理。仿真结果表明QIOM能有效地发现和提供QoS满意的覆盖服务及实现SvB间的覆盖流量负载平衡。     

Efficient and scalable provisioning of always-on multicast streaming services

There is a growing need for large-scale distribution of realtime multicast data such as Internet TV channels and scientific and financial data. Internet Service Providers (ISPs) face an urgent challenge in supporting these services; they need to design multicast routing paths that are reliable, cost-effective, and scalable. To meet the realtime constraint, the routing paths need to be robust against a single IP router or link failure, as well as multiple such failures due to sharing fiber spans (SRLGs). Several algorithms have been proposed to solve this problem in the past. However, they are not suitable for today’s large networks, because either they do not find a feasible solution at all or if they do, they take a significant amount of time to arrive at high-quality solutions.In this paper, we present a new Integer Linear Programming (ILP) model for designing a cost-effective and robust multicast infrastructure. Our ILP model is extremely efficient and can be extended to produce quality-guaranteed network paths. We develop two heuristic algorithms for solving the ILP. Our algorithms can guarantee to find high-quality, feasible solutions even for very large networks. We evaluate the proposed algorithms using topologies of four operational backbones and demonstrate their scalability. We also compare the capital expenditure of the resulting multicast designs with existing approaches. The evaluation not only confirms the efficacy of our algorithms, but also shows that they outperform existing schemes significantly.     

无线Mesh网流媒体传输速率控制策略及模型*

基于无线Mesh网（WMN）的网络特征,提出适合WMN流媒体传输的速率控制策略,并给出其相应的模型描述。提出的策略和模型充分利用链路的多样性,降低由重传机制和节点冲突造成的流媒体传输时延增大并改善流媒体传输的性能,同时兼顾WMN接入有线网络的TCP友好性等特征。     

Robust control in cloud assisted peer to peer live streaming systems

Existing live video streaming systems can be classified as server (cloud) based or as peer-to-peer (P2P). The client–server approach promises stability and (Quality of Service) QoS by incurring expensive bandwidth provision cost on the server. On the other hand, P2P architecture is scalable with low bandwidth and maintenance cost. Here we propose a cloud assisted P2P live streaming architecture which is scalable and stable. In order to achieve this we have developed: (i) a scalable gossip protocol that monitors dynamically the total available bandwidth resources of the participating peers, (ii) a control strategy that dynamically allocates the bandwidth that is required.The first step towards this direction is to create a theoretical model that captures the dynamic relationship between the total bandwidth surplus/deficit and peers’ bandwidth utilization in order to be able to apply a control theoretical approach. Moreover, we quantify the impact of monitoring inaccuracies and peers’ dynamic bandwidth changes and we calculate analytically, as a function of them, the minimum amount of bandwidth overprovision that ensures the undisturbed distribution of the stream. System is evaluated through a detailed simulator of a complete P2P live streaming system and testified the uninterrupted and complete stream delivery even in very adverse bandwidth changes.     

PeerStreaming: design and implementation of an on-demand distributed streaming system with digital rights management capabilities

We have developed PeerStreaming, an on-demand peer-to-peer (P2P) media streaming system. The behavior of a PeerStreaming client is very much like an ordinary media player: it streams and plays whatever media the user desires, starting at whatever point he/she desires. Under the hood, however, the media is delivered from multiple peers to the client. The serving peers can be the media server, but more commonly they are the clients that have received the media in a previous streaming session. Leveraging the network and storage resources of the P2P network and retrieving a major part of the media from nearby peers, PeerStreaming greatly improves streaming media quality, reduces server load, and eases traffic on the network. We describe the design and implementation of the PeerStreaming system in this paper, with a focus on a number of key components. They include: (1) peer discovery and content location, (2) scalable coded and randomly accessible media format, (3) receiver-driven streaming, (4) digital rights management, and (5) architecture for the media rendering, caching and serving system.     

Backstepping dynamic surface control for an anti-skid braking system

The electric aircraft landing system, as one of the important components of more electric aircraft (MEA) and all electric aircraft (AEA), has been a subject of interest in recent years. An anti-skid braking system (ABS), which is the crucial component of the electric aircraft landing system, has the function of regulating the wheel slip ratio such that the braking process operates in a stable state. In this paper, an approach that combines a nonlinear backstepping dynamic surface control (DSC) and an asymmetric barrier Lyapunov function (ABLF) is presented to not only track the reference slip ratio but also to avoid the slip ratio in the unstable region. We demonstrate that the proposed controller can guarantee the boundedness of the output constraints and the stability of the overall system. Using the ABLF allows one to relax the required initial conditions on the starting values of the wheel slip ratio and subsequently make the wheel slip constraints more flexible for various runway surfaces and runway transitions. The DSC is introduced to eliminate repeated differentiation resulting from ABLF synthesis, which can relax the restrictions on the high-order differentiability for stabilizing functions and the high power of wheel slip tracking error transformation. The proposed controller can avoid the negative effects of disturbance produced by repeated differentiation and can construct a simple controller for wheel slip control. The results of simulations with varying runway surfaces have validated the effectiveness of the proposed control scheme, in which the output constraints on the wheel slip ratio are guaranteed not to be violated and self-locking is avoided.     

预测增量动态逆无人机姿态控制

针对小型无人机模型参数精度不高的问题,提出一种预测增量动态逆姿态控制方法。该方法以角加速度作为姿态控制的反馈,从而降低了控制系统对模型参数的敏感性。根据无人机力矩方程,先将角加速度计算式写成增量形式;再根据非线性动态逆方法构建出角加速度为隐式输入、舵面偏转量增量为输出的直接关系式;在控制器中引入预测滤波器,对角加速度进行滤波和预测,提高反馈信号的精度和实时性。飞行实验表明方法是有效性的。     

Adaptive neural dynamic surface control for servo systems with unknown dead-zone

An adaptive neural controller is proposed for nonlinear systems with a nonlinear dead-zone and multiple time-delays. The often used inverse model compensation approach is avoided by representing the dead-zone as a time-varying system. The “explosion of complexity” in the backstepping synthesis is eliminated in terms of the dynamic surface control (DSC) technique. A novel high-order neural network (HONN) with only a scalar weight parameter is developed to account for unknown nonlinearities. The control singularity and some restrictive requirements on the system are circumvented. Simulations and experiments for a turntable servo system with permanent-magnet synchronous motor (PMSM) are provided to verify the reliability and effectiveness.     

Resource allocation algorithm with limited feedback for multicast single frequency networks

The single frequency network (SFN) can provide a multimedia broadcast multicast service over a large coverage area. However, the application of SFN is still restricted by a large amount of feedback. Therefore, we propose a multicast resource allocation scheme based on limited feedback to maximize the total rate while guaranteeing the quality of service (QoS) requirement of real-time services. In this scheme, we design a user feedback control algorithm to effectively reduce feedback load. The algorithm determines to which base stations the users should report channel state information. We then formulate a joint subcarrier and power allocation issue and find that it has high complexity. Hence, we first distribute subcarriers under the assumption of equal power and develop a proportional allocation strategy to achieve a tradeoff between fairness and QoS. Next, an iterative water-filling power allocation is proposed to fully utilize the limited power. To further decrease complexity, a power iterative scheme is introduced. Simulation results show that the proposed scheme significantly improves system performance while reducing 68% of the feedback overhead. In addition, the power iterative strategy is suitable in practice due to low complexity.     

一种新型的异构无线网络呼叫接纳控制算法研究

在CDMA2000蜂窝网络和WLAN组成的异构无线网络中,呼叫接纳控制算法对于提高系统资源的利用率有着非常重要的作用。根据WLAN的网络负载情况和移动用户的速度来判决是否接入WLAN;提出一种基于概率机制的CAC算法,WLAN能够限制来自于蜂窝网的VHO呼叫,减少不必要的VHO处理负荷;对新呼叫阻塞率和DVHO呼叫阻塞率进行理论分析和推导。仿真结果表明,该CAC算法能够减少不必要的重复上下垂直切换,同时将DVHO呼叫阻塞率控制在可接受的范围内。算法保证了较高的系统吞吐量,提高了系统整体性能。     

TDI-CCD相机动态成像的速度同步控制研究

在介绍时间延迟积分电荷耦合器件(TD I-CCD)的结构与工作原理基础上,通过像移调制传递函数(MTF)分析了TD I-CCD行扫速率与运动像不同步时对相机成像质量的影响。理论和实验仿真表明:在奈奎斯特频率范围内,只要将TD I-CCD推扫成像过程中的同步误差控制在一定的范围内,就可以明显地减少像移对成像质量的影响,最后,给出了2种简便和实用的同步控制方法。     

结合IP组播的P2P流媒体直播系统

在流媒体系统中利用P2P技术与IP组播各自的优势,提出了一种结合IP组播的P2P流媒体直播系统,不仅能够充分利用用户节点的资源,减轻流媒体服务器与骨干网的负载,提高系统的可扩展性和可用性,而且有效地提高了P2P流媒体直播系统中视频流的服务质量。     

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.     

一种新型非线性Hammerstein系统动态矩阵控制算法

将动态矩阵控制策略(DMC)推广到由一个非线性静态多项式函数和一个线性动态阶跃响应环节组成的非线性Ham-merstein系统,详细地给出了该新型非线性Hammerstein系统动态矩阵控制算法(NLH-DMC).把NLH-DMC应用于一套强非线性pH中和过程,给定值跟踪和抗干扰仿真结果表明,NLH-DMC比线性DMC(LDMC)和过程控制领域常用的非线性PID(NL-PID)具有更好的控制性能.进一步的仿真实验证实,NLH-DMC不仅具有良好的控制响应,而且在存在较大模型误差时仍具有很好的稳定性及鲁棒性.     

IEEE 802.11的DCF机制媒介接入延时分析与仿真*

在改进的马尔可夫模型的基础上引入Z变换,分析了802.11的DCF机制 MAC延时性能,研究了从非饱和到饱和信道状态的延时性能。通过MATLAB数值分析和OPENT 10.0网络仿真,基于马尔可夫模型的MAC延时分析能够与网络仿真的MAC延时很好地吻合,验证了分析模型在预测媒介接入延时方面的有效性,为无线分布式系统的进一步设计提供理论依据和数据参考。     

非脆弱递归滑模动态面自适应神经网络控制

针对一类非匹配不确定非线性系统的跟踪控制问题, 提出了一种递归滑模动态面自适应控制算法. 采用神经网络(neural network, NN)在线逼近系统不确定项, 通过设计递归滑模动态面有效综合反推步骤中每步跟踪误差之间相互影响和制约的关系. 该方法避免了反推法存在的“微分爆炸”问题, 克服了传统动态面方法对其低通滤波器时间常数和神经网络自适应参数摄动脆弱的缺点. 稳定性分析证明了该方法能够保证闭环系统所有状态半全局一致最终有界, 且跟踪误差可以收敛至原点的任意小邻域.