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1. Application

(1) Service Description

The U2000/U2020 administrator guide is intended for U2000/U2020 administrators. It provides guidance in managing the U2000/U2020 system, including common management operations, system backup and restoration, routine maintenance, and troubleshooting. Common management operations include powering on and off the system and managing the IP addresses and routes, system time, users, services, resources, databases, files, and disks.

(2) Documentation Description

The operations in U2000/U2020 Administrator Guide are related to the hardware platform. Different administrator guides are provided for different hardware platforms. The U2000/U2020 can be deployed on three types of hardware platforms: ATAE, PC Server (including RH5885, HP PC Server, and x3850&x3650), and VM. During onsite maintenance, select the administrator guide based on the hardware platform.

Some administrator guides of the U2000/U2020 (including its components: the U2000/U2020 emergency system and U2000/U2020 Trace Server system) do not contain Administrator Guide in their names. The following describes the administrator guides for different platforms.

lATAE platform

Obtain required documents from iManager U2000 MBB Network Management System Product Documentation (SUSE), as shown in the following figure. The document package name may vary depending on the R version. For details, see 3. Related Documents.


For some operations and maintenance in the U2000 administrator guide, you need to refer to ATAE Cluster System Product Documentation.ATAE Cluster System Product Documentation is an auxiliary documentation for related ATAE operations. Reference to specific sections in ATAE Cluster System Product Documentation is provided in U2000 administrator guide based on actual operation requirements. In addition, ATAE Cluster System Product Documentation includes the ATAE OSMU administrator guide. For details about operations and maintenance of the ATAE OSMU, you can refer to theATAE OSMU administrator guide.

The following table describes and the following figure shows the U2000 administrator guides and their application scenarios.



Application Scenario

U2000 ATAE cluster system

U2000 ATAE Cluster System Administrator Guide (SUSE)


U2000 ATAE cluster online remote HA system

U2000 ATAE Cluster Online Remote HA System Administrator Guide (SUSE)


U2000 ATAE cluster emergency system

U2000 ATAE Cluster Emergency System User Guide


U2000 Trace Server ATAE cluster system

U2000 Trace Server User Guide (ATAE Cluster, Standalone)

Use this guide when the Trace Server and U2000 are independently deployed.

U2000 ATAE Cluster System Administrator Guide (SUSE)

When the Trace Server and U2000 are co-deployed in an ATAE cluster system, the Trace Server functions as a slave service board in the U2000 ATAE cluster system and is operated and maintained together with the U2000. See the administrator guide for the corresponding networking.

U2000 ATAE Cluster Online Remote HA System Administrator Guide (SUSE)

lPC Server platform

Obtain required documents from iManager U2000 MBB Network Management System Product Documentation (SUSE), as shown in the following figure. The document package name may vary depending on the R version. For details, see 3. Related Documents.

uHP PC Server: U2000 Trace Server User Guide (HP, Standalone)

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ux3850&x3650: U2000 Administrator Guide (x3850&x3650, SUSE)

uRH5885: U2000 Administrator Guide (RH5885H V3, SUSE, Sybase)

2. Characteristics


3. Related Documents

Platform Type




VMU2020 administrator guideV300R019(For Customer)U2020 MBB Network Management System Virtual Product Documentation(SUSE)(V300R019C10_xx)(HDX)-EN
U2000 administrator guideV200R018(For Customer)iManager U2000 MBB Network Management System Virtual Product Documentation(SUSE)(V200R018C10_xx)(HDX)-EN


ATAE installation and commissioning auxiliary document



U2020 administrator guide


(For Customer)U2020 MBB Network Management System Product Documentation(SUSE)(V300R019C10_xx)(HDX)-EN

U2000 administrator guide


PC Server

U2020 administrator guide


U2000 administrator guide


This post was last edited by BenLiu at 2019-09-25 17:13.

By Chen Yuhan & Song Ruhao

In the MBB era, MBB network O&M faces network performance and resource challenges. On the one hand, MBB network structure is becoming more complex. Operators need to focus on how to make MBB network performance analysis easier. On the other hand, MBB service traffic has doubled every year. Operators then need to focus on how to appropriately plan, optimize, and allocate network resources to improve MBB network investment efficiency.

Huawei PRS is an end-to-end visibility solution for mobile broadband (MBB) networks that makes the O&M process far simpler, both in terms of the steps involved and the relative skill needed to carry them out.


Mobile broadband (MBB) services are bringing new challenges to network operation and maintenance (O&M). Structural complexities are making mobile network performance increasingly difficult, and Huawei offers a solution in the form of its performance report system – an end-to-end (E2E) visibility platform that spans from the radio access network (RAN) to the packet-switched (PS) core network, enabling comprehensive analysis of network resources & performance and displaying the results in a user-friendly format, making for a vastly more efficient O&M process, while improving investment efficiency.

Visualized network performance

Adding multiple modes/bands to any network will increase its complexity, but Huawei PRS can visualize and simplify the performance analysis process. Based on predefined KPI monitoring and analysis parameters for the GSM, UMTS, and LTE technologies, PRS detects network performance faults, generates KPI alarms automatically, and facilitates troubleshooting through KPI trend, high-priority cell, and fault cause analyses; all help operators to enhance network performance.

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Visualized network resources

PRS can illustrate the traffic generated by smartphones and facilitate MBB network planning in detail. According to statistics published by comScore (a digital business analytics firm), in December 2012, the smartphone penetration rate in five European countries (Britain, France, Germany, Spain, and Italy) hit 55%, a 13% increase from 2011. Smartphones greatly differ from their predecessors in terms of traffic and signaling, and traditional traffic models no longer meet the needs of the modern MBB network. Huawei PRS visualizes smartphone resource consumption and displays traffic and signaling accordingly, greatly facilitating the network planning process.

MBB networks are constantly changing and detailed network planning in the initial stages simply cannot prevent this. PRS detects emergent bottlenecks, while facilitating timely MBB expansion. It also provides an integrated network capacity KPI system, while separately illustrating capacity trends and other statistics through a capacity map or capacity panel, depending on user preferences.

MBB network capacity is finite; high-value services should be prioritized. Huawei PRS supports in-depth analysis of bandwidth resource distribution, displaying bandwidth consumed by various services, helping operators differentiate service bandwidth management and monitor bandwidth policies so that they can be tweaked as needed.

Successful cases

As of January 2013, Huawei PRS has been in commercial use in more than 70 markets, serving over 100 operators.

KPI insight enhances network performance

A certain Chinese operator (Operator X) deployed a radio network with gear sourced from multiple vendors, and was facing difficulties in network performance enhancement as well as O&M efficiency. Each vendor’s systems had thousands of performance indicators, and engineers needed to spend a lot of time defining the relevant network KPIs and tracking down the faults when one went wrong. A large number of problems had to be analyzed by experts, making for poor O&M efficiency.

Operator X chose to simplify its O&M process through Huawei PRS, which provides a KPI monitoring and analysis system that automatically monitors network performance based on different KPIs and provides root cause analysis reporting to speed up the troubleshooting process. Through analysis of KPI trends, high-priority cells, and fault causes, Operator X has improved its O&M efficiency significantly. Where it once took one or two hours to track down the cause of a low GSM access success rate, it now takes five minutes at most (a twelve-fold improvement).

What’s more, the KPI insight function integrates Huawei’s expertise in network performance analysis. Performance faults are classified by scenario, with a standard fault location process given for each. Thanks to PRS, a less experienced engineer can now carry out the analysis that was once done by an expert.

Smartphone & service resource visibility

Operator Y in Southeast Asia provides GSM, UMTS and LTE services, and the smartphone penetration rate among its customers exceeds 40%. Smartphones not only bring excessive data flow but also a large amount of signaling traffic, and this stems from a 15-fold increase in network interactions when compared with traditional terminals, making for a great impact on network operations.

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With Huawei PRS, Operator Y now has a view of the data and signaling traffic generated by smartphones and can produce traffic models for each type. Operator Y can also use other statistics such as smartphone penetration rate and user growth rates, together with data growth trends and signaling traffic, to ensure cost-effective network upgrade.

Network resource usage planning is another concern for Operator Y. Various data services run through its networks, and yet the bandwidth they consume may not be proportional to the revenue they contribute. PRS helps Operator Y visualize bandwidth utilization for each type of service, and the operator has found that low-value point-to-point (P2P) services occupy more than 40% of bandwidth during busy hours, so measures must be taken to minimize this impact. With PRS, Operator Y can also learn about how network resources and customers are affected by its traffic management policies, so it can adjust them accordingly.

Identifying capacity bottlenecks

As services and smartphones multiply, Operator Z (also in Southeast Asia) has seen dynamic changes to its network load, such as those seen with the iPhone 5 package it recently launched.

MBB Network & Wireless Cards Driver Download For Windows

Operator Z has tried to cope through weekly analysis of the RNC board CPU usage, but this process is time consuming. First, network performance data must be exported from each network management system (NMS) and then imported into a preconfigured spreadsheet so that KPI curves are generated and overloaded boards are identified. If the signal processing unit (SPU) is overloaded, the base station that manages it must be identified through the NMS, with its load distributed among other SPUs manually. Completion of an overall network analysis usually takes a day or more due to a heavy manual workload. Certain key KPIs, such as Iub interface utilization, cannot even be evaluated directly, as both network performance and configuration data are needed. In this way, capacity expansion happens only after network performance is affected.

Operator Z uses PRS to visualize its network capacity usage, as it provides a complete KPI system based on network performance, configuration, and licensing, including statistics for interface utilization, board CPU usage, license utilization, and cell power utilization. PRS also automatically filters out capacity bottlenecks from alarm messages/logs, and offers capacity display, capacity trends, and capacity maps for further analysis, helping Operator Z effectively expand network capacity.

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Huawei PRS takes less than a minute to filter out capacity bottlenecks, at an accuracy rate of more than 98%. If SPUs are overloaded, PRS can identify base stations where SPUs are either overloaded or idle, enabling Operator Z to determine resource allocation in less than ten minutes. The operator can also view the Iub interface utilization rate, and enhance transmission resource usage accordingly.

In 2012, a Formula One race was held in Operator Z’s home market, attracting a large number of visitors from abroad. During the event itself, network traffic increased substantially, but PRS successfully identified three network capacity bottlenecks in the immediate racing area, and Operator Z was able to adjust accordingly, ensuring smooth communication and news broadcast during the event.