Network coverage and capacity optimization system and optimization method based on fuzzy neural network
A fuzzy neural network and network coverage technology, applied in network planning, advanced technology, electrical components, etc., can solve problems such as high network maintenance costs, manual configuration mismatches and missing configurations, waste of manpower and material resources, etc., and achieve enhanced self-regulation capabilities , Speed up the learning process, improve network coverage and system capacity performance
Active Publication Date: 2017-07-28
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology
The manual optimization method has caused a huge waste of manpower and material resources, high network maintenance costs, and manual configuration is prone to misconfiguration and missing configuration problems
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[0024] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0025] figure 1 A structural block diagram of a network coverage and capacity optimization system based on a fuzzy neural network of the present invention is shown.
[0026] like figure 1 As shown, a fuzzy neural network-based network coverage and capacity optimization system according to an embodiment of the present invention includes: a centralized cooperation module 100 and a plurality of distributed self-organizing modules 200 .
[0027] Each distributed self-organizing module 200 is arranged in a base station, and each distributed self-organizing module 200 periodically uses a fuzzy neural network to optimize the antenna elevation angle and transmit power of the base station where it is located;
[0028] The centralized cooperation module 100 is configured to receive the optimization parameters of the distributed self-organizing modules 200 of...
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The invention relates to a network coverage and capacity optimizing system and optimizing method based on a fuzzy neural network. The system comprises multiple distributed self-organizing modules and an integrated cooperation module. Each distributed self-organizing module is arranged in a base station, and each distributed self-organizing module utilizes the fuzzy neural network periodically to optimize the antenna elevation angle and the transmitting power of the base station where the corresponding distributed self-organizing module is located. The integrated cooperation module is used for receiving the optimized parameters of the distributed self-organizing modules of all the base stations, processing the optimized parameters, and then sending the processed optimized parameters as optimization experience to all the distributed self-organizing modules. According to the network coverage and capacity optimizing system and optimizing method based on the fuzzy neural network, the load and capacity performance of the network is optimized by adjusting the radio frequency antenna elevation angles and the transmitting powers of the base stations.
Description
technical field [0001] The present invention relates to the technical field of wireless communication, in particular, to a network coverage and capacity optimization system and optimization method based on a fuzzy neural network. Background technique [0002] With the development of high-speed, broadband, and ubiquitous wireless communication, the next-generation mobile communication network becomes more and more complex, and users have higher and higher requirements for the quality of services provided by the wireless access network. However, many network elements and related parameters in the current network are manually configured, and the network planning, optimization and operation costs are quite huge. Operators need to reduce operating costs on the one hand, and provide better end-user experience on the other hand. Therefore, the Self-Organizing Network (SON) technology is proposed to enhance wireless network elements and realize the self-organizing function of wirele...
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IPC IPC(8): H04W16/18H04W16/22H04W24/02
CPCY02D30/70
Inventor 田辉张平范绍帅
Owner BEIJING UNIV OF POSTS & TELECOMM