新型工业化道路下化工行业5G应用的研究与探索

新型工业化顺应智能化、绿色化的发展潮流,要求加快数字技术应用,催生新产品、新业态、新模式。5G作为数字技术的核心组成部分,具备其高速率、低时延、大连接的优势。通过与新生技术融合互促,5G深入赋能石化和化工行业多个业务领域,驱动业务创新、引领转型升级,促进数业深度融合。由于石化和化工企业生产环境对防火防爆的高需求,建设防爆5G微基站将对石化和化工企业意义重大。

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.

高速铁路5G网络覆盖方案的对比研究

随着高铁技术的迅猛发展,乘客对网络舒适性和连接速度的要求不断提高,尤其是对高铁、隧道等特殊应用环境。通过深入研究5G网络在高速铁路通信中的应用,探讨不同覆盖方案的基本原理与特点,包括微基站技术、波分复用技术、重叠覆盖技术及智能天线技术。在对比分析不同方案的基础上,突出覆盖范围、数据传输速度、可靠性与连通性方面的差异。深入讨论选择最佳覆盖方案和实施5G网络的关键步骤与挑战,包括基础设施规划、设备选择与配置、网络部署以及面临的成本和技术挑战,为高速铁路5G网络的未来发展提供实质性的指导和启示。

基于5G网络的新能源场站智慧巡检技术研究与应用

文章旨在研究基于5G网络的新能源场站智慧巡检技术,并探讨其应用潜力。传统人工巡检方式存在效率低、安全性差等问题,而基于5G网络的智慧巡检技术能够提高巡检效率和准确性。文章以机器人5G神经网络自适应控制技术为核心,分为两个主要部分进行研究:通过分析巡检机器人的结构并建立动力学模型,确保机器人能够准确进行巡检;利用神经网络自适应控制流程,在环境信息采集和处理的基础上,实现了智能巡检的路径规划和运动控制。通过仿真分析,验证了该技术在提高巡检效率和准确性方面的优越性。研究结果表明,基于5G网络的新能源场站智慧巡检技术具有高效、准确、安全等优点,可为新能源场站巡检提供重要技术支持,同时具备广阔的应用前景。

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.

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.

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.

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.

一款面向5G微基站的双频双极化电磁偶极子天线的设计与分析

小型化是进行5G微基站天线设计的重要考虑因素,文中设计了一款适用于5G微基站的电磁偶极子天线.天线由一对正交放置的单极化电磁偶极子、一对交叉放置的渐变式Γ形馈电线、一个圆形寄生贴片和一块正方形反射板组成,工作频段为2.50~3.62 GHz和4.8~5.0 GHz,能够覆盖工信部规定的5G的全部中频段.在工作频带内,天线的输入回波损耗小于-10 dB;端口隔离度在低频段小于-25 dB,在高频段小于-42 dB;仿真平均增益在高、低频部分分别为5.57 dBi和9.84 dBi.该天线能够实现双频段和双极化,可以作为小型化微基站天线设计的参考,同时为5G天线的商用化提供参考.

一种应用于LTE和5G中频段的宽带双极化基站天线

设计了一款适用于LTE和5G中频段的宽带双极化微基站天线。该天线主要由四部分组成:主辐射器,馈电巴伦结构,反射面和方形寄生贴片。其中辐射面上的圆形连接条产生多个电流路径,并引入额外的谐振点实现了阻抗匹配,同时方形寄生贴片有效扩展了高频段的带宽。实测结果表明,该天线具有50%(2.2~3.65 GHz)的阻抗带宽,反射系数小于-15 dB,端口隔离度大于28 dB。频段内的天线平均增益为8.2 dBi,天线E面的半功率波束宽度为65°±5°,交叉极化比大于26 dB。采用该天线单元构建了一种四元天线阵列。该天线及其阵列具有结构坚固、高隔离度、高增益和更小的物理尺寸等优点,可以作为LTE/5G室内基站天线的良好候选。

基于共享铁塔的5G天线对微气象在线监测设备的电磁干扰

随着5G通信技术的迅猛发展以及微气象在线监测设备的广泛应用,两者共享铁塔布置的情况较为常见,此时5G天线可能会对在线监测设备的正常运行造成一定的电磁干扰。根据5G基站天线的工作原理,分析了共享铁塔背景下,5G基站天线对微气象在线监测设备的干扰机理,得到了基于阵列天线原理的5G天线场源表征公式,并建立了电磁干扰数学模型。以实际共享铁塔为例进行仿真计算,结果表明,微气象在线监测设备表面场强随天线个数及功率的增大而增大,随天线倾角的增大而减小。

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.

物联网时代5G微小基站建设模式研究

随着5G技术的发展和商用,5G微小基站在将来的网络建设中起着重要作用。而路灯杆作为基础设施遍布在城市的各个角落,具有密集性、供电稳定性和均匀性等特性,便于信息的采集和发布,是最合适的物联网载体。文章以智慧灯杆为基础打造物联网平台,既解决5G微基站选址难的问题,也为物联网终端感知采集设备在城市的扩展应用开辟了新途径。

基于5G基站节能技术的智慧型断路器研究与设计

研究分析了5G基站节能站点增强型节能的技术方案。主要采用AAU设备关断的方法,实现设备关闭期间断路器保持分闸状态,减少AAU能耗的效果。设计开发了一套基于物联网技术的智能型微型断路器,包括断路器和网关模块,实现设备端时段分合闸控制。最后通过实际案例数据,论证该方法在实际基站节能降耗的效果。

5 G时代地方电视台媒资管理与应用探索

近几年,不断发展的科学技术,使媒资管理系统拥有了前进动力,基于管理系统展开研究,逐渐变得深入且具体。以5 G时代为背景,以地方电视台为切入点,围绕媒资管理与应用展开了讨论,内容以媒资管理系统和应用模式为主。

浅谈广电C频段卫星接收抗5 G干扰的措施

随着5 G基站建设和网络的升级,C频段广播电视卫星信号的接收难免会受到5 G基站干扰,影响到广播电视的安全播出。主要分析了5 G对卫星广播电视C频段干扰的原因,提出广播电视C频段卫星接收抗干扰的解决方案。

公共照明改造中5G微基站及充电桩融合发展的前景分析

从分析5G微基站的应用场景、新能源汽车充电桩的建设现状着手,探讨5G微基站分配策略,包括基于驱动优化分配策略、网络切片及网络功能虚拟化(Network Functions Virtualization,NFV)技术、现实应用配置优化策略等,介绍新能源汽车充电的基本形式,并分析存在的主要问题,提出相应的优化策略。

通信基站建设及5G网络覆盖分析

伴随着我国社会现代化发展水平的不断提高以及科技化进程的进一步发展,通信行业发展水平呈现出前所未有的上升势态,通过对2G技术、3G技术、4G技术的有效应用,不仅提高了人们的通信质量和速度,还促进了我国社会信息化水平的提升。然而伴随着时代的发展,4G技术已经无法满足汽车制造、智能家居、游戏娱乐、工业生产等相关领域发展的需求,因此诞生了5G技术。通过对5G技术的有效利用,能够使综合数据业务具有的集成化、智能化、宽带化、多元化目标有效实现,而基站作为5G网络应用的核心基础,对充分发挥5G技术的价值具有决作用。

5G基站供电系统需求分析及供电技术探讨

随着通信技术的不断发展和提升,5G基站建设日趋完善。尤其是在供电方面,开始通过AUU供电技术、高压直流远程供电技术等实现集中供电,有效减少了电能损耗。本次研究过程主要从新时期5G基站供电系统的技术需求出发,对不同供电技术下的电源建设方案进行分析,形成不同场景下的最佳供电体系,望为我国通信系统发展提供有效理论支撑。