Multi-mode intelligent configurable method for implementing optimization of wireless network

Abstract

The invention discloses a multi-mode intelligent configurable method for implementing optimization of a wireless network. Firstly, the network optimization demand and object are raised according to the user's own network and then the demand and object are analyzed and used as a basis for determining the network optimization mode and establishing a simple model of wireless network, and the network optimization plan and configuration network optimization parameters are prepared. Subsequently, the network is optimized by the cost functions (such as capacity, coverage and network quality) at five different angles (antenna, power, address, frequency and load balance) in combination with different optimization algorithms. The optimization algorithms include three heuristic algorithms (simulated annealing, particle bee colony and ant colony) and the conventional greedy algorithm, and increase the network performance to the ideal level. Finally, the optimization results of the wireless network are sorted to provide a network optimization plan to the user for reference and reality basis. The method is intelligent and configurable, can meet reasonable requirements of users, can also achieve the purpose of optimizing 2G / 3G dual-network coexistence, has strong flexibility, and provides a good reference for the present network performance.

Description

technical field [0001] The present invention relates to a kind of realization method of wireless network optimization of a kind of multi-system intelligent configuration, to be exact, relate to a kind of code division multiple access TD-SCDMA and TD-SCDMA of global mobile communication system GSM, wideband code division multiple access WCDMA, time division synchronous Code division multiple access 2000CDMA2000 wireless networks of different standards how to efficiently layout the network, improve the performance of the network system and provide a reliable, multi-angle wireless network optimization implementation method, and the current second generation communication network (abbreviated as 2G) and the third generation The current situation of the coexistence of communication networks (referred to as 3G) can effectively simulate the mutual interference and impact of single-mode or dual-mode networks, and conduct optimization analysis and system upgrades for networks of each st...

AI Technical Summary

Problems solved by technology

[0004] However, the existing network optimization technologies usually have the following disadvantages: (1) The network optimization method is not intelligent enough to intelligently meet the various needs of users according to the network characteristics of different systems

(2) The network optimization method is too simple to meet the user's optimization requirements from various angles

(3) Lack of joint optimization method between two networks, insufficient flexibility

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