基于多门限预留机制的自适应带宽分配算法

针对异构无线网络融合环境提出了一种基于多门限预留机制的自适应带宽分配算法,从而为多业务提供QoS保证。该算法采用多宿主传输机制,通过预设各个网络中不同业务的带宽分配门限,并基于各个网络中不同业务和用户的带宽分配矩阵,根据业务k支持的传输速率等级需求和网络状态的变化,将自适应带宽分配问题转化为一个动态优化问题并采用迭代方法来求解,在得到各个网络中不同业务和用户优化的带宽分配矩阵的同时,在带宽预留门限和网络容量的约束条件下实现网络实时吞吐量的最大化,以提高整个异构网络带宽的利用效率。数值仿真结果显示,所提算法能够支持满足QoS需求的传输速率等级,减小了新用户接入异构网络的阻塞概率,提高了平均用户接入率并将网络吞吐量最大提高40%。     

无线Mesh网络中支持QoS的802.11e协议优化

在无线Mesh网络中,支持QoS的IEEE 802.11eEDCA协议,其固定的队列接入机制,使得在网络负载较重的时高优先业务的QoS得不到应有的保障,同时在网络负载较轻时信道利用率也不高.文中提出了一种动态调整业务接入队列的算法.节点可以根据感知到的网络负载状况自适应调整队列接入方式,在保障高优先级业务QoS要求的同时,尽可能提高信道的利用率.仿真结果表明,在不同网络负载的场景下,该算法相对于IEEE802.11e在QoS保障和利用率方面都有较好的表现.     

一种UMTS核心网中CAC算法

在通用移动通信系统(UMTS)中，无论在无线接入部分还是在核心网部分，QOS的保证都是关键性问题。呼叫准入控制(CAC)是QOS机制的重要组成部分，本文根据3GPP对UMTS业务种类的定义及相应的QOS分类，对UMTS核心网络的QoS准入控制问题进行了研究。基于排队论的思想，提出了一种基于综合排队机制的CAC算法，并对其进行了相应的性能分析和仿真实验，结果表明了本算法的有效性。     

异构网络融合中的QoS与通信容量研究

使任何用户在任何时间任何地点都能获得具有服务质量（QoS）保证的服务,同时提高网络的覆盖范围和通信容量,是异构网络融合必须考虑并解决的关键问题。异构环境下具有QoS保证的关键技术研究以及通信容量分析是异构网络融合的重要研究内容。异构网络融合中具有QoS保证的关键技术研究主要在呼叫接入控制（CAC）算法、垂直切换算法、异构资源分配算法和网络选择算法等无线资源管理算法方面。在异构网络融合系统中使用新颖的多跳网络结构可以扩大网络的覆盖范围,降低传输功率,增加系统通信容量和吞吐量。     

自适应的认知无线Mesh网络QoS约束的路由与频谱分配算法

提出了一种自适应的满足QoS约束的路由与频谱分配(SA2JR)算法,SA2JR的目标是:在满足无线业务QoS约束的情况下,最大化无线业务接受率,让尽可能多的无线业务需求能够被满足.SA2JR包括2个部分,按需的κ-路径路由(κ-Routing)算法,以及QoS驱动的频谱分配(QDSA)算法.κ-Routing负责为每一个需求产生κ条潜在路由路径,QDSA算法自适应地进行频谱分配,目标是从κ-Routing产生的κ条潜在路由路径中找出一条满足QoS约束的可行路由路径.仿真结果表明SA2JR能达到预定目标,获得了较高的无线业务接受率.     

WiMAX的自适应技术研究

IEEE802.16作为下一代网络中一种重要的宽带无线城域网接入标准,是最具有发展潜力的接入技术之一.它的系统容量大,能够支持多种业务的高速传输.为了在质量不稳定的无线信道上传输时能够保证不同业务的服务质量(QoS)要求,提高系统性能,系统广泛采用多种自适应技术.文中介绍了自适应技术的原理,重点讨论了几项关键的自适应技术,并对每一种技术给出了最新的研究成果.     

下一代Internet的QoS和移动性及其构架

下一代Internet应该能够支持具有不同服务质量要求的各种业务,不管是固定用户还是移动用户。文中所介绍的下一代Internet的QoS和移动性及其构架融合了各种QoS结构模型和移动协议以及基于一定预定义标准（QoS参数）之间的不同无线和有线接入技术。     

认知无线网络中基于业务区分的自适应MAC协议

为了提高认知用户的接入效率,同时兼顾其QoS需求,提出了一种应用于认知无线网络的基于业务区分的自适应MAC协议。对不同业务采取不同的最优频谱检测时间,实时业务(RT)以最小化接入时延为目的确定最优的频谱检测时间,而非实时用户(NRT)则以最大化吞吐率为目标确定最佳的频谱检测时间。根据所确定出的最佳频谱检测时间,结合当前的业务到达速率和调度策略,不同业务以时隙Aloha的方式接入空闲频谱。理论分析和仿真表明,所提出的自适应MAC协议能够自适应地为认知用户的不同业务确定最优频谱检测时间,从而有效地提高频谱使用效率,保证不同业务的QoS需求。     

一种新的对称CDMA系统中非对称业务下的呼叫允许控制策略

未来无线多媒体网络将以分组技术为基础,支持多种业务的传输,业务的QoS保证将受到一定的挑战.各运营商也将针对自己所服务的对象特点,定义各类业务的QoS等级,来提供具有不同QoS要求的业务.因此,呼叫允许控制(Call Admission Control,CAC)策略将要以分组业务为主要对象,即既要在充分利用系统资源的基础上保证各业务的QoS要求,又要适应各运营商之间的不同需求.因此本文提出一种新的对称CDMA系统中非对称业务下基于动态QoS保证的CAC策略.各运营商可根据自己的要求定义各业务的QoS等级.由于业务的不同特性,使得网络中上行链路和下行链路的业务呈现不对称性,为避免资源的浪费,将根据网络中的资源占有情况动态的地分配上行和下行链路中的资源.仿真结果表明,该策略可以自适应地保证各业务的QoS要求,提高了业务间的公平性和系统资源的利用率.     

车联网异构网络资源管理优化研究

无线资源管理优化是异构网络研究的重要组成部分。有限的带宽和成倍增长的网络用户,使异构无线网络的资源管理优化成为了迫切需要解决的问题。文章对接入异构网络的业务种类和异构网络资源管理进行了研究,并针对业务种类的不同提出了基于业务优先级的集中式联合无线资源管理算法。结果表明,该算法能够在保障无线资源利用率的前提下,优先使安全型业务接入网络,极大地降低安全型业务的接入阻塞率。     

QoS Provisioning in Wireless/Mobile Multimedia Networks Using an Adaptive Framework

Recently there is a growing interest in the adaptive multimedia networking where the bandwidth of an ongoing multimedia call can be dynamically adjusted. In the wireless/mobile multimedia networks using the adaptive framework, the existing QoS provisioning focused on the call blocking probability and the forced termination probability should be modified. We, therefore, redefine a QoS parameter – the cell overload probability – from the viewpoint of the adaptive multimedia networking. Then, we propose a distributed call admission control (CAC) algorithm that guarantees the upper bound of the cell overload probability. Also, a bandwidth adaptation algorithm which seeks to minimize the cell overload probability is also presented. Simulation experiments are carried out to verify the performance of the proposed CAC algorithm. Furthermore, the performance of the adaptive wireless/mobile network is compared to that of the existing non-adaptive wireless/mobile networks. As a further step in QoS provisioning, we propose another QoS parameter, the degradation period ratio, and discuss analytically how the CAC algorithm guarantees the upper bound of the degradation period ratio.     

Efficient bandwidth allocation and call admission control for VBR service using UPC parameters

Provision of Quality‐of‐Service (QoS) guarantees is an important and challenging issue in the design of Asynchronous Transfer Mode (ATM) networks. Call Admission Control (CAC) is an integral part of the challenge and is closely related to other aspects of network designs such as traffic characterization and QoS specification. Since the Usage Parameter Control (UPC) parameters are the only standardized traffic characterizations, developing efficient CAC schemes based on UPC parameters is significant for the implementation of CAC on ATM switches. In this paper, we develop a CAC algorithm called TAP (derived from TAgged Probability) as well as two other CAC algorithms using the UPC parameters. These CAC algorithms are based on our observation that the loss‐probability‐to‐overflow‐probability ratio tends to decrease as the number of sources increases. By introducing the loss‐probability‐to‐overflow‐probability ratio K, we find that this ratio sheds light on increasing resource utilization while still guaranteeing QoS. Analysis, simulation, and numerical results have shown that the proposed TAP algorithm is simple and efficient. Copyright © 2000 John Wiley & Sons, Ltd.     

Call admission control for QoS provisioning in 4G wireless networks: issues and approaches

This article presents a survey on the issues and the approaches related to designing call admission control schemes for fourth-generation wireless systems. We review the state of the art of CAC algorithms used in the traditional wireless networks. The major challenges in designing the CAC schemes for 4G wireless networks are identified. These challenges are mainly due to heterogeneous wireless access environments, provisioning of quality of service to multiple types of applications with different requirements, provisioning for adaptive bandwidth allocation, consideration of both call-level and packet-level performance measures, and consideration of QoS at both the air interface and the wired Internet. To this end, architecture of a two-tier CAC scheme for a differentiated services cellular wireless network is presented. The proposed CAC architecture is based on the call-level and packet-level QoS considerations at both the wireless and wired parts of the network. A performance analysis model for an example CAC scheme based on this architecture is outlined, and typical numerical results are presented.     

Performance evaluation of priority based adaptive multiguard channel call admission control for multiclass services in mobile networks

The CAC (call admission control), which can guarantee call services to meet their QoS (Quality of Service) requirements, plays a significant role in providing QoS in wireless mobile networks. In this paper, an adaptive multiguard channel scheme‐based CAC strategy is proposed to prioritize traffic types and handoff calls. The major aim of the study is to develop the analytical model of the priority traffic and handoff calls based adaptive multiguard channel scheme and examining the performance through setting the value of the adaptive ratio parameters. Our proposed scheme tries to mediate the advantages and drawbacks of the static and dynamic CAC schemes. The proposed scheme is quite different from previous studies because multithreshold values have been considered for multiclass traffic by adaption parameters, and a closed form analytical model is developed The numerical results show that this scheme can be used to keep the targeted QoS requirement by suitably setting the adaptive ratio parameters. Copyright © 2011 John Wiley & Sons, Ltd.     

Training techniques for neural network applications in ATM

The main problems of adaptive ATM quality of service (QoS) control methods using neural networks were the exponentially wide range of the output target and the real-time training data sampling. But new practical techniques to overcome these problems may open new neural network applications. In this article, the framework of connection admission control (CAC) is described as a typical example of neural-network-based QoS estimation and two practical techniques, called relative target method and virtual output buffer method, are presented to enhance the neural network performance in CAC     

适应自相似业务的无线网络自主CAC策略

为在保证QoS的前提下提升无线网络的接纳容量,研究了无线网络业务的自相似特征,将其与QoS参数共同引入到服务带宽的计算当中,提出基于服务带宽优化并具有自主特性的 SS-CAC（self-organized based on network similarity call admission control）策略,用以降低网络带宽利用度及业务阻塞概率。之后对SS-CAC策略进行实现仿真,与在网络中采用传统CAC机制相比,采用SS-CAC不仅可以保证话音业务的质量还可降低2.69%的数据业务平均带宽使用率,同时数据业务的阻塞率和掉话率也在高负载情况下分别下降了0.95%和2.81%。     

Mobility-based CAC algorithm for arbitrary call-arrival rates in CDMA cellular systems

This paper presents a novel approach for designing a call-admission control (CAC) algorithm for code-division multiple-access (CDMA) networks with arbitrary call-arrival rates. The design of the CAC algorithm uses global information; it incorporates the call-arrival rates and the user mobilities across the network and guarantees the users' quality of service (QoS) as well as prespecified blocking probabilities. On the other hand, its implementation in each cell uses local information; it only requires the number of calls currently active in that cell. We present several cases for a nontrivial network topology where our CAC algorithm guarantees QoS and blocking probabilities while achieving significantly higher throughput than that achieved by traditional techniques. We also calculate the network capacity, i.e., the maximum throughput for the entire network, for prespecified blocking probabilities and QoS requirements.     

A probabilistic approach for fair-efficient call admission control in wireless multiservice networks

The efficiency of call admission control (CAC) schemes in multiclass wireless networks should be evaluated not only with regard to the call blocking probability (CBP) achieved for every service class (SC) supported but also with regard to quality of service (QoS) and network efficiency criteria. In this article, four CAC schemes offering priority to SCs of advanced QoS requirements, based on guard channel policy, are studied and evaluated taking into account fairness and throughput criteria in addition to CBP. For the performance evaluation of the proposed CAC schemes and to examine fairness issues, two fairness indices are introduced along with a throughput metric. The analytical results, validated through extensive simulations, indicate that by appropriate selection of the CAC parameters satisfactory fairness and throughput are achieved while achieving low CBP.     

Cross‐layer and cognitive QoS management system for next‐generation networking

Owing to limited wireless network resources, network applications must provide an adaptive quality‐guaranteed service to satisfy user requirements. Different applications are associated with different quality of service (QoS) concerns, as well as different QoS control parameters. This work presents an adaptive QoS algorithm by discussing the QoS specifications of three wireless access technologies, i.e. 3G, WiMAX and WiFi. Based on cross‐layer and cognition concepts, these environmental parameters are integrated with the sensing of spectral and received signal strength from a cognitive radio paradigm. An adaptive QoS algorithm is then proposed to select the optimal access network for services. Simulation results indicate that the proposed adaptive QoS algorithm outperforms available ones in real‐time applications. Compared with traditional algorithms, the proposed algorithm reduces not only the average delay time and jitter for VoIP services to 0.16 s and 0.09 ms, respectively, but also the packet loss ratio for high‐definition video streaming by 3.4%. Copyright © 2011 John Wiley & Sons, Ltd.     

Bandwidth borrowing‐based QoS approach for adaptive call admission control in multiclass traffic wireless cellular networks

This paper proposes a QoS approach for an adaptive call admission control (CAC) scheme for multiclass service wireless cellular networks. The QoS of the proposed CAC scheme is achieved through call bandwidth borrowing and call preemption techniques according to the priorities of the traffic classes, using complete sharing of the available bandwidth. The CAC scheme maintains QoS in each class to avoid performance deterioration through mechanisms for call bandwidth degradation, and call bandwidth upgrading based on min–max and max–min policies for fair resource deallocation and reallocation, respectively. The proposed adaptive CAC scheme utilizes a measurement‐based online monitoring approach of the system performance, and a prediction model to determine the amount of bandwidth to be borrowed from calls, or the amount of bandwidth to be returned to calls. The simulation‐based performance evaluation of the proposed adaptive CAC scheme shows the strength and effectiveness of our proposed scheme. Copyright © 2011 John Wiley & Sons, Ltd.