Research on TD-SCDMA Wireless Network Engineering Optimization Method (1)

As an international standard proposed and adopted by China in the third generation mobile communication system, TD-SCDMA standard has been widely concerned around the world since its birth. After nearly 10 years of development, the TD-SCDMA system has been through the Protocol system, the formation of the industrial chain, field testing and other stages into the expansion of scale test network stage. TD-SCDMA network planning and optimization methods have become the focus of attention in the industry.

Due to the uncertainty of the mobile communication system, the wireless network must be optimized for a long time. Engineering Optimization is performed after the equipment is installed according to the engineering design requirements, the aim is to adjust network engineering parameters and system parameters through technical means such as single-site verification and system optimization to reduce the impact of engineering construction on network performance, eliminating inconsistency between network construction and network planning to achieve optimal network operation is a key link to Ensure network quality and improve the efficiency of network resource utilization.

On the basis of the engineering optimization technology, this paper discusses the influence of the key technologies of TD-SCDMA on the implementation of engineering optimization, and gives the concrete implementation methods and suggestions of TD-SCDMA Engineering Optimization.

1. Wireless Network Engineering Optimization Technology

The goal of wireless network engineering optimization is to collect and analyze the data of the new wireless network to find out the reasons that affect the network quality or the low resource utilization, then, the network can reach the optimal running state through technical means or parameter adjustment, so that the network resources can get the best benefits. Specifically, on the one hand, it is necessary to solve quality problems in wireless networks, such as poor coverage, poor voice quality, disconnection, network congestion, failover success rate, and poor data service performance; on the other hand, we also need to optimize resource allocation, rationally allocate and use the entire network resources, and maximize the potential of devices to adapt to the increasing demand for network resources for business development. Improve the network quality within a certain period of time, so that new networks can be put into use as soon as possible and satisfy users.

Based on the overall objectives and requirements of engineering optimization, the project optimization mainly includes:

A) hardware system optimization. Including Equipment Fault optimization and transmission system optimization, among which equipment fault optimization mainly refers to the optimization of various alarms and clock offsets; transmission System Optimization mainly refers to the optimization of transmission methods, error connections, and error rates.

B) Optimize wireless engineering parameters. It mainly refers to the optimization of the antenna system, including the performance of the antenna system, antenna direction, structural height, downtilt angle and direction angle, as well as the situation of surrounding obstacles.

C) Optimize wireless resource parameters. Including Node B parameter optimization and MSC parameter optimization, where, node B parameter optimization mainly refers to the optimization of wireless connection rate, disconnection rate, worst cell ratio, switching success rate, blocking rate, power control parameters and various timer and other indicators and parameters; MSC parameter optimization mainly refers to the optimization of parameters such as routing data, timer, switching parameters, function selection data, and recording notification data.

D) network structure optimization. It includes multi-layer and multi-frequency network usage policies, network capacity balancing policies, and location division optimization.

E) Pilot optimization. It includes Optimization of pilot pollution analysis and external interference source processing.

F) adjacent area optimization. Including the optimization of the neighboring area list, reasonable number of neighboring areas, and adjustment of neighboring area parameters based on actual conditions.

G) capacity optimization. Including reasonable control of system load and adjustment of Resource Allocation Based on congestion rate and other indicators.