Ad hoc networking technology provides higher network performance and efficiency while reducing operating costs. Ericsson's self-organizing network solutions make full use of the rich experience in network planning, deployment, optimization and management, combined with the leading advantages in network automation research and standardization, to provide operators with first-class, practical and efficient products and technology. The solution meets the end-to-end application needs of customers of different sizes in different regions, and helps to give full play to the high performance of the next generation network itself.
Challenges facing operators
Mobile network technology from 2G to 3G to LTE, while bringing higher data throughput and network response speed, because 3G / LTE signal has higher path loss and penetration loss than 2G signal, to ensure good The quality of wireless coverage, the number of wireless cells will be more than 2G. In addition, an operator operating multiple generations of wireless networks at the same time also poses great pressure on operating costs. How to achieve network and business expansion without significantly increasing network operating costs has become a problem that must be solved in the 3G / LTE era.
OPEX of major domestic mobile operators accounts for 60% of TCO, and network operation and maintenance and energy consumption account for more than 60% of OPEX. Therefore, how to effectively reduce these two costs will be the key to the commercial success of 3G / LTE networks . In addition, traditional networking based on manual experience and network optimization have poor real-time performance, coarse adjustment granularity, large error probability, and high manual requirements. They will not be able to adapt to the above changes and urgently need improvement.
SON (Self-Organizing Network) is a complete set of solutions designed to simplify operational tasks through automated mechanisms to reduce wireless network planning, deployment, and optimization costs, and improve O & M efficiency and network quality.
SON's standard formulation and product development are divided into four aspects: 1) base station self-starting, 2) network self-optimization, 3) network self-healing, 4) network energy saving, which meets the basic operation and maintenance characteristics and market needs. Self-starting mainly refers to the automation of base station opening, self-optimization mainly refers to network optimization, self-healing mainly refers to achieving network robustness through fault handling, and energy saving mainly refers to flexible opening and closing of network facilities to adapt to changes in business volume to reduce energy consumption.
Base station self-starting
After the hardware installation is complete, the traditional wireless base station needs to manually prepare the base station configuration data in advance and bring it to the site to load and activate, and then manually install and activate the software, manually configure the base station to connect with the OMC (network management center) and the core network, and open Self-check, if there is no problem, configure the neighbor list through OMC or terminal, and finally manually unlock the base station to enter the operating state. In addition to hardware installation and data preparation, the main process takes 10-15 hours. For more information, please log in to the electronic enthusiast website (http: //)
The self-starting of the base station provided by SON requires that a base station only needs to configure a few parameters to be turned on by the field engineer. The base station itself completes data preparation, addressing connection with OMC, connection with the core network, downloading base station software, downloading wireless planning and transmission Configure data, start neighbor detection and wireless coverage and capacity settings, and put into normal operation. Compared with the traditional manual mode, the station opening efficiency is greatly improved, and it is especially suitable for the characteristics of the complex and large number of next-generation base station configurations.
Ericsson's base station RBS6000 with OSS-RC network management system and SMRS (software management library) can complete basic self-starting within 5 minutes, which is 20% faster than the requirements of mainstream operators.
Network self-optimization
The wireless environment, user distribution, and usage behavior of mobile communication networks are constantly changing, and the network needs to be continuously adjusted to adapt to the changes. Traditional network optimization relies on manual data collection and analysis of the network, and makes optimization decisions. Due to the high technical complexity involved, it is difficult to achieve rapid and accurate. The self-optimization solution provided by SON allows the network to sense its own state changes, perform data processing and optimization according to the expert system, and adjust the network to the optimal state within a smaller time and space granularity.
Take neighbor detection as an example. Traditional mobile network handover requires the serving cell to know several neighboring cells and as an alternative handover purpose. Neighbor cell relationship optimization is the most time-consuming task of the mobile network, accounting for 30% of the O & M workload. Traditional centralized analysis and planning methods are based on wireless road loss models and electronic maps. It is difficult to fully consider the actual wireless conditions and lack accuracy and real-time.
Ericsson first proposed an optimized solution for neighboring cell detection based on wireless measurement of mobile terminals, and this technology was implemented in the WCDMA stage product NCS. In the LTE stage, Ericsson also took the lead in completing the live network test of ANR products. In North America and Europe, LTE deployments have been highly recognized by customers with close to 100% initial test success rate and 99% overhead savings compared to conventional methods. In addition, the product also has two major advantages:
1. ANR utilizes the inherent wireless measurement mechanism of the mobile terminal to perform neighbor cell detection without occupying additional terminal resources and processing capabilities, so it can always be in working state to ensure uninterrupted optimization.
2. Due to the unification of WCDMA and LTE neighboring cell mechanisms, the two-way mobile neighboring cell self-optimization that supports the two networks is undoubtedly a function that operators hope to obtain and the industry cannot support.
Network self-healing
According to statistics, a wireless network generates tens of thousands of alarms every day. It is difficult for the operation and maintenance personnel to deal with such a large number of alarms, and the faults reflected by many alarms cannot be truly dealt with and resolved. Ericsson believes that the network itself should be able to sense, identify, and correlate alarms, and initiate a self-healing mechanism to eliminate failures and restore normal working conditions.
In the solution of Ericsson, the wireless base station RBS6000 has a strong fault detection and positioning capability. Equipment failures can be identified through software monitoring and hardware self-tests, while business failures can be identified through performance statistics and observations. These detected faults will first be resolved by small-scale software restarts or reloads and hardware switching. If the above actions cannot eliminate the fault, the system will implement automatic repair in a larger range.
For business failures that occur between devices or in the transmission network, the system will isolate the failure occurrence unit and activate the backup unit to transfer the business to the backup unit. The system sends only one alarm to the network management system for the isolated fault unit, and the operation and maintenance personnel remotely call the FMX (Intelligent Fault Management Expert System) provided by the Ericsson network management system, combined with the performance and configuration management module to obtain relevant information, and then schedule network self-optimization Function to implement network parameter optimization and completely eliminate business failures.
Network energy saving
The energy consumption of OPEX in traditional wireless networks accounts for 30% -40%, and it is estimated that 90% of the energy consumption is generated in the no-load state of the network, and the energy saving potential is huge. Specific to the field of wireless devices, the focus is on optimizing network deployment and adjusting network status to reduce unnecessary energy consumption. SON's energy-saving solution focuses on the rational use and allocation of network resources. The main energy-saving space comes from controlling the opening and closing of wireless resources according to the changes of specific network loads. It should avoid the idling of network resources as much as possible while satisfying users.
Ericsson believes that according to different energy-saving goals, network conditions and task models, energy-saving methods are also multi-level and diversified, such as completely shutting down the base station or partially shutting down the base station's wireless resources (sectors, carriers, and even time slots).
Take the overall opening and closing scheme of the base station as an example. This scheme is applicable to areas where business flow changes at different times are obvious, such as business districts and residential areas. During the daytime hours, the wireless traffic in the business area is large and the traffic in the residential area is very small. In the first half of the night, the traffic distribution is the opposite, and the second half of the night is very small.
In response to this situation, the wireless network can properly shut down some base stations to implement energy saving. The OMC (network management center) will coordinate the un-closed base stations according to the rules defined by the operator to make up for the lack of wireless coverage brought by the base stations entering the energy-saving state. For example, for the area covered by N base stations under normal conditions, the base station located in the center may serve as the master station, and the other as the slave stations. During the energy-saving period, all slave stations are powered off and services are turned off. The antenna and transmission power of the master station are electrically adjusted to cover the entire area. The wireless parameters are calculated according to the business model of this period to provide the necessary capacity. For more information, please log in to the electronic enthusiast website (http: //)
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