基于虚拟分割机制的多服务交换路由器的研究

本文提出了一处基于虚拟分割机制的可编程多服务器由器实现结构：PVSMR，并对它的三个层面的主要构成及其关键技术进行了深入研究。PVSMR基于一种有效而灵活的资源虚拟分割算法，它能够提供与多类应用相适应的、灵活的报文处理和转发控制能力。     

Adaptive Resource Sharing Strategies for UMTS Multiservice Mobiles

In this paper, a multiservice transmission scheme which joints voice, video, interactive game and signaling is evaluated for the dedicated channel of the Universal Mobile Telecommunications System. The transmission rate for each service is determined by means of an adaptive transport format selection. In the UMTS standard, this selection is based on power allocation provided by radio resource controller, trying to match the Eb/No requirements of the individual services. An appropriate selection of the individual rates of each multiplexed service, taking into account its particular QoS requirements, will provide a more efficient resource management than the transmission only restricted to power allocation. For this purpose, we propose and evaluate a new selection strategy based on buffer occupation, delay requirements and target bit rate keeping power constraints that intends to improve the basic operation trying to minimize the impact of the whole network. Video and game services are multiplexed in upper layers (logical channels) sharing a common transmission rate (transport channel). In this paper, it is proposed a new strategy to share the transmission rate set for this transport channel between both services taking into account their particular requirements. Results show that considering delay constraints provides a more balanced performance of the multiplexed services.     

集团移动信息化多业务综合接入系统的规划和设计

集团移动信息化增值业务具有巨大的市场潜力,而且能够最大限度地利用各移动运营商现有的移动网络优势,是各移动运营商未来集团客户业务收入的重要增长点.文章就集团移动信息化多业务综合接入系统进行了深入地研究,并提出了今后集团移动信息化多业务综合接入系统的规划和设计方案.     

下一代网络的发展趋势--融合与开放

随着网络技术的发展,多种网络将不断融合(固定网、移动网和IP计算机网),未来的网络将是一个统一、综合的网络,综合了分布式计算和通信技术,能方便地提供不同质量的应用.同时未来的网络是业务驱动的网络,所以业务能力开放性是关键因素.本文介绍了下一代网络融合的背景,探讨了融合的层次及其融合的步骤,阐述了下一代网络能力开放所采用的合适的接口、业务平台、开发和运营方式.     

面向多级电网调度运行的多业务培训仿真系统 (一)系统设计与实现

设计并搭建了一种融合调控专业多业务的全过程培训仿真系统,该系统可模拟培训过程中负荷曲线动态变化过程,且实现调度多业务协同培训仿真。通过获取生产系统真实数据及多业务协同运行,使得该培训仿真系统更为逼真地模拟电力系统调度运行环境。从系统的软硬件架构、负荷教案制作、多业务协同仿真等方面进行了阐述。所介绍的培训仿真系统已在实际电网调度中心得到应用,该系统的仿真数据与实际电网运行数据吻合,有效地支撑了电网调度运行人员培训和仿真工作需要。     

面向多级电网调度运行的多业务培训仿真系统(二)基于数据、信号、控制的通信策略设计

研究了一种基于多业务模式的调度一体化培训仿真平台通信策略,包含数据流、信号流、控制流并应用于此仿真平台。根据仿真全周期各阶段的数据、断面等通信需求,设计通信方式使多业务仿真整体形成一套完整的通信策略。研究表明,全新一体化仿真平台通过此通信策略,可融合仿真业务各核心应用,使各应用协调配合,从而较逼真地再现全景多业务培训仿真环境,解决传统仿真业务较为单一的问题。     

A Framework for JRRM with Resource Reservation and Multiservice Provisioning in Heterogeneous Networks

Inter-working and convergence of heterogeneous wireless networks are paving the way to scenarios in which end users will be capable of using simultaneously services through different Radio Access Technologies (RATs), by means of reconfigurable mobile terminals and different network elements. In order to exploit the potential of these heterogeneous networks scenarios, optimal RAT selection and resource utilization mechanisms are required. As a result, the heterogeneous networks are introducing a new dimension to the Radio Resource Management (RRM) problem, so that new algorithms dealing with the dissimilarities and complementarities of the multiple RATs from a joint perspective have to be considered. In this sense, this paper proposes a Joint Radio Resource Management (JRRM) strategy in a multi-RAT, multicellular and multiservice scenario. An approach based on Fuzzy Neural methodology is presented. Firstly, the way how the proposed Fuzzy Neural framework deals with the multiservice allocation in a heterogeneous scenario is presented. A reinforcement learning algorithm based on neural networks allows guaranteeing a multidimensional QoS focusing on those QoS requirements which mainly affect the user perception of the service. In addition to this, the performances obtained by the Fuzzy Neural JRRM for both real-time and non real-time services, are compared to the ones offered by alternative JRRM strategies. Secondly, special attention is paid to real-time services and to mechanisms to improve their performances. An approach based on predicting future JRRM decisions and on accordingly reserving radio resources for handoff calls is presented. Simulation results will show improvements in terms of both new connection blocking and handoff call dropping probabilities. Finally, the full set of results provides the sufficient insight into the problem to allow stating that the present Fuzzy Neural framework can be a firm candidate for JRRM.

多服务交换资源虚拟分割算法的研究

为用户或应用提供多样性服务是网络发展的趋势，不同的服务需要相应的网络转发或交换机制支持，实现多服务交换或转发的关键是资源分配和管理，该文提出一种支持面向应用的多服务交换路由器的资源虚拟分割算法，它结合可编程路由器，根据不同应用的转发需求，为不同转发服务分配一定范围的虚拟资源区间，该虚拟分割区间能够隔离和保护不同应用网络流，为其提供一定的服务质量保障，并使服务间能够可控，动态地共享多余的资源。     

多业务DS-CDMA系统的资源分配算法研究

针对提出的业务模型，分析了多业务DS-CDMA系统中各类业务的QoS性能如平均延时、吞吐量及比特差错率等与各类业务的处理增益和功率分配的关系，提出了一种适用于两类业务（一类实时、一类可靠）的优化处理增益和功率分配算法，数据结果表明优化算法可以在保证两类业务QOS的同时提高系统容量及可靠业务的吞吐量。     

面向多级电网调度运行的多业务培训仿真系统(三)调度培训仿真技术的实现

以多业务仿真模式和多级调度一体化培训为目标,结合华北电网多级调度全业务培训仿真系统的建设实践,对该系统的设计思想和实现方法进行了详细的介绍。主要围绕"多业务培训"和"调度一体化"这两个显著特点,从调度核心业务在培训系统中的集成、一体化模型及教案管理、电网模型全覆盖的电力系统仿真、教员监视及控制等方面对整个系统的实现及控制进行了阐述。