Network coverage and capacity optimizing system and optimizing 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 waste of manpower and material resources, high network maintenance costs, manual configuration mismatch and missing configuration, etc., to speed up the learning process, Enhance self-regulation ability, improve network coverage and system capacity performance
Active Publication Date: 2014-07-23
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] 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 is shown in the present invention.
[0026] Such as figure 1 As shown, a network coverage and capacity optimization system based on a fuzzy neural network according to an embodiment of the present invention includes: a centralized cooperation module 100 and a plurality of distributed ad hoc modules 200 .
[0027] Each distributed ad hoc module 200 is arranged in a base station, and each distributed ad hoc module 200 periodically utilizes the fuzzy neural network to optimize the antenna elevation angle and the transmit power of the base station where it is located;
[0028] The centralized cooperation module 100 is used to receive the optimization parameters of the distributed ad hoc module 200 of each base station, and after...
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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 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 communications, the next-generation mobile communication network has become more and more complex, and users have higher and higher requirements for the quality of services provided by wireless access networks. However, many network elements and related parameters in the current network are manually configured, and the cost of network planning, optimization and operation is quite huge. On the one hand, operators want to reduce operating costs, and on the other hand, they need to provide better end-user experience. Therefore, the self-organizing network (Self-Organizing Network, SON) technology is proposed to enhance wireless network elements and realize wirel...
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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