一种GSM网络异常话务指标关联分析方法研究

文章针对现有网络异常话务监控机制中指标不全或者门限不够准确的问题，提出了一种将异常话务指标关联实际网络性能和客户投诉的分析方法，运用该方法能对异常话务监控机制进行有效修正和完善。同时，以某市公司在应用该方法后的实际效果，证明了该方法使异常话务监控机制得到有效完善，大幅提升了日常维护优化工作的效率。     

S-1240交换机的网络话务管理功能

网络管理能有效地利用网络资源 ,优化网络的话务流向。当某个子路由处于拥塞的情况下 ,可将话务转向另一组空闲的子路由 ,从而疏通话务。文中介绍的话务管理功能的大部分项目已在上海贝尔模型机、长沙 TS、苏州TS上得到了验证     

大型展馆话务容量设计问题的探讨

主要探讨了大型展馆话务容量设计的一种新方案。资源动态共享设计方案，不仅能降低展会区域的话务不平衡系数，在保障话务容量的基础上减少载波配置总量，同时还能硎氏展会区域的网络同邻频干扰。     

阿尔卡特NGN话务分析实现

针对我公司在用话务分析软件CMC1300功能单一、性能低,无法满足日益增长的话务分析需求的问题,该文提供了一种实现话务报告的各种粒度统计分析方法,可实现骨干NGN,受端入网等新的分析需求。     

EWSD对突发话务的网络控制

分析了超量呼叫和难以到达地区这两种突发话务对电信网络性能的影响 ,重点介绍了如何在EWSD交换机中针对不同的网元位置实现相应的网络话务控制。     

基于BP神经网络的4G话务预测方法研究

目前常用的话务预测算法主要有移动平均法和指数平滑法,虽然可以达到一定精度的话务趋势预测,但对于短期话务量的周期性变化,例如潮汐效应等场景,传统的话务预测算法存在一定的缺陷。因此需要运用BP神经网络算法,进行更为精准智能的话务预测,以便支撑目前广东公司正在试点的载波动态调度,为潮汐载波调度提供算法依据。本文将对BP神经网络用于话务预测进行研究,并对模型的预测性能进行评价。     

解决移动电话网高话务区容量的技术手段

深圳是一个面积小、人口集中、高层楼宇多、移动用户密度很高的城市。这样的城市要进一步发展移动通信，解决高话务地区的容量问题是关键。我们在认真分析了高话务地区的话务数据，对话务模式作出科学预测的同时，采用新技术、新手段取得了一定的成效。１ＭＲＰ技术ＭＲＰ...     

S1240型局话务统计功能及其应用

一、总述话务统计是评价交换机质量的重要依据,也是提供网络管理、路由规划的基本参数。所以,每一交换局投入运行以后,其首要任务之一就是要作各类话务统计。程控交换机优点之一就是能自动作各类话务统计。S 1240型机发展至今,在话务统计上已较为完备,可以作大量的话务统计工作,由于S 1240型机的全分散控制方式,使这些话务统计工作的执行对正常呼叫处理能力几乎毫无影响。一个交换局的话务流向可以用图1表示。     

EWSD中文话务统计管理软件

ＥＷＳＤ中文话务统计管理软件北京国际交换系统有限公司王健娥众所周知，现代通讯网中话务流的管理水平在不断地提高，这就要求程控交换机能根据业务数据进行分析，具有良好的话务处理和话务预测功能。ＥＷＳＤ交换系统本身可收集和处理来自交换机和中继群的所有话务数据...     

网管话务控制与控制效果辨析

首先对话务控制的原理进行了阐述，对山西省春节话务高峰期间交换机的各种性能与参数进行了分析，消除了分析中的一些误区，从而归结出对网管话务控制效果评价的客观依据。     

一种自适应的混合型无线NoC拓扑结构

针对传统大规模片上网络（Network-on-Chip,NoC）远距离核间多跳通信所带来的高能耗与延时问题,提出了一种基于虚Torus的自适应的混合型无线NoC拓扑结构（VT-AWiNoC）．该结构通过引入链路拥塞测度作为感知参数,基于此采用热点无线链路自动探测与带宽动态分配机制,并设计实现发送器动态分配的控制电路模块,以达到根据不同的通信流量模型,于片内自适应地调整拓扑结构及链路带宽的目的．通过建立混合型无线NoC的延时与功耗评估模型,对该结构的无线NoC进行性能评估．实验结果表明,该自适应拓扑与其它混合型无线NoC相比,在随机流量模型下,网络平均延时降低了16．52～23．27％;在20％的热点流量模型下,包平均能耗节省了39．19％;以真实应用FFT作为基准测试,平均延时降低了17．20％～21．68％,并节省了23．49％的包平均能耗．该结构以较小的面积开销获得了更优的性能．     

一种自适应侦听的异步无线传感器网络MAC协议

为了提升异步无线传感器网络MAC协议在动态网络负载下的性能,论文提出了一种流量自适应的异步协议AA-MAC.该协议基于短前导序列采样技术,当节点收稿数据后并不理解转入睡眠而自适应增加若干个最短侦听时间用以接收发送节点的可能其他数据,使得收发双方在网络负载较重时能实现一次配对多次收发数据.分析并对比了AA-MAC和X-M...     

Optimal energy management strategy for parallel plug-in hybrid electric vehicle based on driving behavior analysis and real time traffic information prediction

Conclusive evidence has justified great importance of energy management strategies in the performance and economy of plug-in hybrid electric vehicles (PHEVs). This article pays attention to improve adaptive equivalent consumption minimization strategy (A-ECMS) for parallel PHEV based on driving behavior recognition and real time traffic information prediction. Three main efforts have been made to distinguish our work from exiting research. Firstly, a hierarchical driving behavior model is constructed, providing in-depth knowledge about behavior generation, transmission, and consequence. Secondly, an online driving behavior classification method is designed. The proposed method is the coefficient result of offline driving behavior study based on self-report driving behavior questionnaire (DBQ) and online driving behavior discrimination by BP neural network. Thirdly, an improved adaptive equivalent consumption minimization strategy (IA-ECMS) is formulated based on identified driving behavior and predicted real time traffic information. The IA-ECMS can realize equivalent factor tuning instantaneously and reasonably. The simulation results indicate the proposed energy management strategy holds potential in fuel economy improvement than A-ECMS.     

An Energy-Efficient Self-Adaptive Duty Cycle MAC Protocol for Traffic-Dynamic Wireless Sensor Networks

A plenty of Medium Access Control (MAC) protocols deal with static traffics with low traffic load. The performance of these protocols drops significantly when network traffic become dynamic or in high traffic load. In this paper, we propose a new MAC protocol called Self-Adaptive Duty Cycle MAC (SEA-MAC) by introducing dual adaptive mechanisms: (1) An Adaptive Scheduling (AS) mechanism which makes the nodes’ active duration adaptive to variable traffic load, thus enabling SEA-MAC to resiliently schedule data transmission for the Sleep period. The algorithm is designated to schedule more data transmission in bursty and high traffic load, thus enabling rapid dissemination of data and reduction of latency. While under the light traffic load, nodes enter the Sleep mode timely, mitigating idle listening and saving energy. (2) A Self-Adaptive duty cycle mechanism which further adjusts the duty cycle and makes SEA-MAC adaptive to the dynamic traffic loads. When network experience with very low or very high traffic load, the protocol further adjusts duty cycle dynamically based on the traffic load, thus reducing inefficient duty cycle or reduce end-to-end delay. Experiment results show that the SEA-MAC is a great advancement compared with AS-MAC and RI-MAC protocols on the performance for unicast scenarios, especially under heavy unicast traffic load. SEA-MAC can reduce average and max end-to-end delay up to 50.90 and 68.20% respectively, lower energy consumption up to about 16.28%, and increase PDR up to about 16% compared with AS-MAC. SEA-MAC superiors to RI-MAC in average end-to-end delay by up to 80% and in maximum end-to-end delay up to 90% for all the traffic load in question. SEA-MAC outperforms RI-MAC significantly in average duty cycle under medium and heavy traffic load.     

Adaptive energy aware cluster-based routing protocol for wireless sensor networks

Wireless sensor networks (WSNs) have grown excessively due to their various applications and low installation cost. In WSN, the main concern is to reduce energy consumption among nodes while maintaining timely and reliable data forwarding. However, most of the existing energy aware routing protocols incur unbalanced energy consumption, which results in inefficient load balancing and compromised network lifetime. Therefore, the main target of this research paper is to present adaptive energy aware cluster-based routing (AECR) protocol for improving energy conservation and data delivery performance. Our proposed AECR protocol differs from other energy efficient routing schemes in some aspects. Firstly, it generates balance sized clusters based on nodes distribution and avoids random clusters formation. Secondly, it optimizes both intra-cluster and inter-cluster routing paths for improving data delivery performance while balancing data traffic on constructed forwarding routes and at the end, in order to reduce the excessive energy consumption and improving load distribution, the role of Cluster Head (CH) is shifted dynamically among nodes by exploit of network conditions. Simulation results demonstrate that AECR protocol outperforms state of the art in terms of various performance metrics.

     

A new traffic allocation algorithm in Ad hoc networks

~~A new traffic allocation algorithm in Ad hoc networks1. Su Kai-rong, ZHENG Wu,XIAO Shu-cheng, et al. Research on technology of mobile Ad hoc network access. Joural of Chongqing University of Posts and Telecommunications: Natural Science. 2005, 17(5): 61…     

An Energy-Aware Geographical Forwarding Protocol Utilizing Adaptive Sleeping in Wireless Sensor Networks

1IntroductionA wireless sensor network is the combination of thephysical world and information technology.Sensor net-works can contain hundreds of thousands of cheap sens-ing nodes that work in the formof Ad Hoc networks,monitoring the environment andrepo…     

弹性光网络中面向任播业务的节能路由算法

为提高数据中心间光互联网络的能效,面向任播业务提出一种具有业务持续时间感知的混合路径传输节能路由算法.为了减少新建光路和工作元器件数量,优先采用单路径传输;若业务阻塞则以传输能耗最小化为目标进行多路径传输.除此之外,引入基于频谱预留的业务疏导策略来降低保护带宽和光收发器的开销.仿真结果表明:与传统节能路由算法相比,所提算法在显著降低网络能耗的同时,有效避免了业务阻塞率的过度增加,实现了网络能耗与性能的平衡.     

An adaptive dual-threshold power saving mechanism in WiMAX

In the energy saving mechanism with random delay in broadband wireless network, an adaptive algorithm based on the dual-threshold and dynamic scheduling model is presented. First, to solve the demand assignment problem of bandwidth allocation and improve the system overall performance in broadband wireless network, using dynamic scheduling method and best-effort and non-real-time polling service traffic are analyzed. Then, an adaptive dual-threshold PSM for WiMAX is proposed, which not only tunes the tradeoff to satisfy various QoS requirements, but also makes adaptive adjustment based on traffic. Finally, Simulation results show that the mechanism has superior performance in comparison with the ideal assumption of Poisson arriving.     

A Power-Efficient Approach to Adaptive Polling Protocols for Wireless LANs

This paper proposes the low power adaptive polling (LPOAP) MAC protocol for infrastructure wireless LANs (WLANs). It operates efficiently under bursty traffic and can reduce mobile power consumption without performance penalties.