Interactive cognitive learning based downlink power adjusting method and device
A power adjustment and cognitive learning technology, applied in the field of communications, can solve the problems of excessive interference of macrocell users' home base stations, inability to connect to macro base stations, poor signal quality, etc., to save long-term energy consumption, improve learning efficiency, and improve The effect of throughput
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[0036] The present invention will be described in detail below with reference to the accompanying drawings.
[0037] The implementation scenario of the present invention takes the hybrid networking of the LTE macro base station and the home base station as an example. The hybrid networking system architecture of the LTE macro base station and the home base station is as follows: figure 1 shown.
[0038] The present invention is a downlink power adjustment method based on interactive cognitive learning. The main processes of the method are: 1. Downlink power adjustment based on interactive cognition; 2. Downlink power adjustment based on interactive learning; It is executed cyclically during the operation, and is based on 1. the information storage module; 2. the sending / receiving module; 3. the information processing module is implemented, and the module function relationship is as follows figure 2 shown.
[0039] The main functions of the information storage module are: 1) S...
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Abstract
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