100G BASE-R接口的OAM

介绍了100G客户侧接口标准、设备现状以及以太网接口OAM的演进;分析了100G BASE-R接口的OAM的标准定义以及各厂家设备的实现情况;最后提出了对100G BASE-R接口OAM的期望。

Studies on the Analytical Method for a New Antiarrhythmic Guanfu Base A in Rabbit Plasma

Guan-fu base A(GFA),a new antiarrhythmic alkaloid with a structure of C_(20)-diterpenoid could react rapidly and quantitatively with trifluoroacetic anhydride(TFAA) to produce GFA—TFAA of which the structure was identified by GC—MSD.There was a wide linear range of the GC-ECD method from 10 to 20000ng/ml(r=0.9984).The average recovery of GFA from the spiked plasma was 97.52%.The coefficients of variation of within-day and between-day were less than 7% and 9%,respectively.The method was used in the preclinical experiment of pharmacology of GFA and the results showed that GFA con- centrations in rabbits' plasma within 6 hours after the administration ranged from 0.338± 0.014 to 13.459±5.393μg/ml for dosage 10mg/kg,from 0.133±0.038 to 2.546±0.480 μg/ml for dosage 2mg/kg and from 45.25±10.34 to 535.86±24.36ng/ml for dosage 0.4 mg/kg.

An SDN/NFV Based Framework for Management and Deployment of Service Based 5G Core Network

The traffic explosion and the rising of diverse requirements lead to many challenges for traditional mobile network architecture on flexibility, scalability, and deployability. To meet new requirements in the 5 G era, service based architecture is introduced into mobile networks. The monolithic network elements(e.g., MME, PGW, etc.) are split into smaller network functions to provide customized services. However, the management and deployment of network functions in service based 5 G core network are still big challenges. In this paper, we propose a novel management architecture for 5 G service based core network based on NFV and SDN. Combined with SDN, NFV and edge computing, the proposed framework can provide distributed and on-demand deployment of network functions, service guaranteed network slicing, flexible orchestration of network functions and optimal workload allocation. Simulations are conducted to show that the proposed framework and algorithm are effective in terms of reducing network operating cost.

Optimal configuration for photovoltaic storage system capacity in 5G base station microgrids

Base station operators deploy a large number of distributed photovoltaics to solve the problems of high energy consumption and high electricity costs of 5G base stations.In this study,the idle space of the base station’s energy storage is used to stabilize the photovoltaic output,and a photovoltaic storage system microgrid of a 5G base station is constructed.Aiming at the capacity planning problem of photovoltaic storage systems,a two-layer optimal configuration method is proposed.The inner layer optimization considers the energy sharing among the base station microgrids,combines the communication characteristics of the 5G base station and the backup power demand of the energy storage battery,and determines an economic scheduling strategy for each photovoltaic storage system with the goal of minimizing the daily operation cost of the base station microgrid.The outer model aims to minimize the annual average comprehensive revenue of the 5G base station microgrid,while considering peak clipping and valley filling,to optimize the photovoltaic storage system capacity.The CPLEX solver and a genetic algorithm were used to solve the two-layer models.Considering the construction of the 5G base station in a certain area as an example,the results showed that the proposed model can not only reduce the cost of the 5G base station operators,but also reduce the peak load of the power grid and promote the local digestion of photovoltaic power.

Optimal configuration of 5G base station energy storage considering sleep mechanism

The high-energy consumption and high construction density of 5G base stations have greatly increased the demand for backup energy storage batteries.To maximize overall benefits for the investors and operators of base station energy storage,we proposed a bi-level optimization model for the operation of the energy storage,and the planning of 5G base stations considering the sleep mechanism.A multi-base station cooperative system composed of 5G acer stations was considered as the research object,and the outer goal was to maximize the net profit over the complete life cycle of the energy storage.Furthermore,the power and capacity of the energy storage configuration were optimized.The inner goal included the sleep mechanism of the base station,and the optimization of the energy storage charging and discharging strategy,for minimizing the daily electricity expenditure of the 5G base station system.Additionally,genetic algorithm and mixed integer programming were used to solve the bi-level optimization model,analyze the numerical example test comparison of the three types of batteries and the net income of the configuration,and finally verify the validity of the model.Furthermore,the sleep mechanism,the charging and discharging strategy for energy consumption,and the economic benefits for the operators were investigated to provide reference for the 5G base station energy storage configuration.

Multilevel Power Modeling of Base Station and Its ICs

A new power estimation method is proposed for base station(BS) in this paper.Based on this method,a software platform for power estimation is developed.The proposed method models power consumption on different abstraction levels by splitting a typical base station into several basic components at different levels in the view of embedded system design.In particular,our focus is on baseband IC(Integrate Circuit) due to it's the dominant power consumer in small cells.Baseband power model is based on arithmetic computing costs of selected algorithms.All computing and storage costs are calibrated using algorithm complexity,hardware architecture,activity ratio,silicon technology,and overheads on all hierarchies.Micro architecture and IC technology are considered.The model enables power comparison of different types of base stations configured with different baseband algorithms,micro architectures,and ICs.The model also supports cellular operators in power estimation of different deployment strategies and transmission schemes.The model is verified by comparing power consumption with a real LTE base station.By exposing more configuration freedoms,the platform can be used for power estimation of current and future base stations.

General Galois Processor for Transmitters in 5G/6G Base Stations

This paper proposes a flexible eight-mode high parallel Galois SIMD ASIP(Application Specific Instruction Set Processor).It supports parallel executions of Gold,Scrambling,CRC,CC,Turbo,RM,PSS,SSS encoding LFSR(linear feedback shift registers)algorithms with high performance and flexibility.It can perform also general bit processing and m-sequence.Our design is based on proposed table conversion and a datapath for unified eight-mode encoding.Based on 28 nm digital CMOS technology,the total area is 0.177 mm2 and the clock frequency can be up to 1 GHz.The throughputs of Gold,Scrambling,CRC32,CRC24,CRC16,CRC8,CC,Turbo are 64 Gb/s,64 Gb/s,128 Gb/s,168 Gb/s,256 Gb/s,512 Gb/s,3×80 Gb/s,and 72 Gb/s,respectively.

Base Station Energy Management in 5G Networks Using Wide Range Control Optimization

The traffic activity offifth generation(5G)networks demand for new energy management techniques that is dynamic deep and longer duration of sleep as compared to the fourth generation(4G)network technologies that demand always for varied control and data signalling based on control base station(CBS)and data base station(DBS).Hence,this paper discusses the energy management in wireless cellular networks using wide range of control for twice the reduction in energy conservation in non-standalone deployment of 5G network.As the new radio(NR)based 5G network is configured to transmit signal blocks for every 20 ms,the proposed algorithm implements withstanding capacity of on or off based energy switching,which in-turn operates in wide range control by carrying out reduced computational complexity.The proposed Wide range of control for base station in green cellular network using sleep mode for switch(WGCNS)algorithm toon and off the base station will work in heavy load with neighbouring base station.For reducing the overhead duration in air,heuristic versions of the algorithm are proposed at the base station.The algorithm operates based on the specification with suggested protocol-level to give best amount of energy savings.The proposed algorithm reduces 40%to 83%of residual energy based on the traffic pattern of the urban scenario.

Register Allocation Compilation Technique for ASIP in 5G Micro Base Stations

The currently available compilation techniques are for general computing and are not optimized for physical layer computing in 5G micro base stations.In such cases,the foreseeable data sizes and small code size are application specific opportunities for baseband algorithm optimizations.Therefore,the special attention can be paid,for example,the specific register allocation algorithm has not been studied so far.The compilation for kernel sub-routines of baseband in 5G micro base stations is our focusing point.For applications of known and fixed data size,we proposed a compilation scheme of parallel data accessing,while operands can be mainly allocated and stored in registers.Based on a small register group(48×32b),the target of our compilation scheme is the optimization of baseband algorithms based on 4×4 or smaller matrices,maximizing the utilization of register files,and eliminating the extra register data exchanging.Meanwhile,when data is allocated into register files,we used VLIW(Very Long Instruction Word)machine to hide the time of data accessing and minimize the cost of data accessing,thus the total execution time is minimum.Experiments indicate that for algorithms with small data size,the cost of data accessing and extra addressing can be minimized.

ZTE and TMN Launch Two Windows~ Phone Based 3.5G Smart Phones

ZTE, TMN and Microsoft have jointly launched two new 3.5G smart phones in Portugal. The SilverBelt and BlueBelt II handsets feature the WindowsR phone operating system which brings together the mobile phone,

The Measurement and Evaluation of the Electromagnetic Environment from 5G Base Station

In order to evaluate the electromagnetic environment of 5G base station, measurement and evaluation of the electromagnetic environment are studied. The 12 measuring points are chosen on the roof, inside and outside of the building, which has a 5G base station on the top. The electric field intensity, magnetic field intensity, and power density have been measured. The measurement methods include background measurement and work measurement. Background measurement is the measurement of environmental electromagnetic field (EMF) before the installation of 5G base station while the working measurement is the measurement after the installation of 5G base station. The evaluation methods include t-test for qualitative evaluation and electromagnetic gain for quantitative evaluation. The results show that the electromagnetic environment after the installation of 5G base station in most places is different from that in the background. And the environmental electromagnetic fields in certain parts are lower than those in the background. The conclusions are as follows: 1) The electromagnetic environment of 5G base station is far lower than the control limit of the national standard and conforms to the national standard;2) The electromagnetic environment of 5G base station has little impact on the electromagnetic environment;3) It is not sufficient to assume that 5G is harmful to health without the results of the epidemiological investigation;4) Before the construction of 5G base station, do background EMF detection, which can provide support for future evaluation.

Signature-Based Intrusion Detection System in Wireless 6G IoT Networks

An“Intrusion Detection System”(IDS)is a security measure designed to perceive and be aware of unauthorized access or malicious activity on a computer system or network.Signature-based IDSs employ an attack signature database to identify intrusions.This indicates that the system can only identify known attacks and cannot identify brand-new or unidentified assaults.In Wireless 6G IoT networks,signature-based IDSs can be useful to detect a wide range of known attacks such as viruses,worms,and Trojans.However,these networks have specific requirements and constraints,such as the need for real-time detection and low-power operation.To meet these requirements,the IDS algorithm should be designed to be efficient in terms of resource usage and should include a mechanism for updating the attack signatures to keep up with evolving threats.This paper provides a solution for a signature-based intrusion detection system in wireless 6G IoT Networks,in which three different algorithms were used and implemented by using python and JavaScript programming languages and an accuracy of 98.9%is achieved.

ZTE Contributed to Launch of 4G Network of BASE Company in Belgium

4 November 2013,Shenzhen,China-ZTE Corporation,a publicly-listed global provider of telecommunications equip ment,network solutions and mobile devices,and BASE Company,the Belgian subsidiary of Dutch mobile operator KPN,have launched BASE Company＇s 4G services in Belgium.

NGBase-T标准的制定动向

为填补铜缆双绞线在40G传输应用上的空白,IEEE NGBase-T工作小组启动了致力于研究下一代铜缆双绞线以太网传输,同时,ISO和TIA都在致力于下一代铜缆双绞线的标准制定,本文主要总结了目前IEEE、ISO、TIA关于NGBase-T的最新动向。

基于PHM系统的CR400BF-G型动车组牵引变流器滤网视情清洁研究

根据CR400BF-G型动车组牵引变流器报警逻辑,结合牵引变流器冷却液进、出口温度监控的经验阈值,提出了不同温度环境下的牵引变流器冷却系统滤网视情维修模型,并选取两列动车组进行了试点验证。对试点动车组牵引变流器冷却系统滤网状态、冷却液出口温度、冷却液进口温度、箱内冷却液温度、箱内空气温度数据进行跟踪分析,验证提出的视情维修模型可行,且设定的阈值有优化空间;数据分析显示冬季条件下,牵引变流器滤网脏堵程度达到约70%时,其冷却系统性能逐渐下降;冷却液进、出口温度,箱内冷却液及箱内空气温度随滤网脏堵程度的变化规律基本一致,可在模型优化时增加箱内冷却液及箱内温度监控逻辑。

JVM 11中的G1 GC关键参数分析

Java是目前大数据组件的主要开发语言,JVM 11是目前成熟的大数据平台所支持的最新的LTS(Long Term Support)版本,G1 GC(Garbage-First Collector)是JVM 11的缺省GC方式,所以掌握JVM 11中的G1 GC的关键参数对于Java应用特别是长期运行的服务端应用有很重要的意义。该文对G1 GC的关键概念进行了介绍,分析了关键参数的的含义,给出了适用于Apache H Base的G1 GC参数参考。

“共享、联动、创生”:U-G-S框架下的集团化办学创新探索——以上海师范大学嘉定基础教育集团为例

促进优质均衡发展,推进学区化集团化办学,是上海深化基础教育领域综合改革、积极回应人民群众接受高质量教育需求的重要举措。以“共享、联动、创生”为主旨,上海师范大学嘉定基础教育集团进行了U-G-S框架背景下的新型集团化办学创新探索,逐步积累了U-G-S框架下的集团愿景共享、重大项目联动、龙头课题创生等方面的经验,并取得了初步成效。

基于OBE理念的化学综合实验设计:g-C_(3)N_(4)的制备及光催化污染物降解

基于成果导向教育(OBE)以学生为中心,以学习成果为导向的理念,以典型的光催化剂石墨相氮化碳(g-C_(3)N_(4))为例,本文设计了一个制备g-C_(3)N_(4)并研究其光催化性能的化学综合实验。首先,学生将通过热聚合反应合成g-C_(3)N_(4)并利用扫描电子显微镜、X射线衍射、红外光谱等技术表征结构,接着利用紫外-可见分光法评估g-C_(3)N_(4)光催化降解污染物的性能。教学过程中,以学生为中心,精心制定覆盖知识点的任务要求,同时以学习效果为导向,进行全方面、全过程、多维度的评价。通过本实验,学生不仅能够加深对g-C_(3)N_(4)材料及光催化技术的理解,还能培养实验操作和数据分析的能力,增强科学素养和创新意识。本实验的设计和实施充分体现了OBE理念,即以学生为中心,以学习成果为导向,全面提升学生的综合能力。

关于RNG代数湍流模式的研究

研究了ＲＮＧ代数湍流模型，提出的涡黏性方程根的识别方法对涡黏性的选择给予了合理的物理意义，它减少了模型使用中的经验性，缩短了计算时间。另外关于用外部涡函数的双峰平均法来确定分离区附近边界层的厚度也是有意义的，它继承了ＢａｌｄｗｉｎＬｏｍａｘ代数模型的长处，改进了其不足，可用于分离流动的工程计算．

基于工控机的G代码编译程序设计

对数控编译程序的功能进行了分析与说明,提出了一种在工控机平台上设计编译程序的方法。设计实现了一个基于工控机的G代码编译程序,并通过实践对其可行性进行了验证。