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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

Active Publication Date: 2014-10-22
XIAMEN UNIV +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] (1) The signal of the home base station is too small and is submerged by the coverage of the macro cell signal, resulting in a small coverage area of ​​the home base station and poor signal quality;
[0005] (2) If the signal of the home base station is too large relative to the signal of the macro base station, it may cause the macro cell user to lose the connection with the macro base station and enter a dead zone (dead zone), that is, the macro cell user has neither the right to access the home base station in closed mode , and cannot be connected to the macro base station; it may also cause the macro cell users to be interfered too much by the home base station, and the performance will be degraded
[0011] (1) First, the minimum time-frequency unit that can be allocated to users is defined as a resource block in LTE, while most traditional methods only adjust the maximum total transmit power without considering the power adjustment based on resource blocks;
[0012] (2) Secondly, in distributed management, the power adjustment method based on resource blocks rarely takes into account the interactive learning between home base stations, and only aims to improve its own performance.

Method used

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  • Interactive cognitive learning based downlink power adjusting method and device
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  • Interactive cognitive learning based downlink power adjusting method and device

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Embodiment Construction

[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

The invention discloses an interactive cognitive learning based downlink power adjusting method and device and relates to the communication technology. Femtocells which are served as intelligent agents having learning capabilities, set improvement of networking performance to be a learning target and perform network optimization due to adjustment of power distribution of a resource block. The femtocells can perform interactive learning according to the communication similarity and the specialized knowledge to improve the learning efficiency and meanwhile save long-time energy consumption caused by learning experience accumulation through an air interface individually except self-learning development. Network optimization through adjustment of power distribution of the resource bock can reduce interference from the hybrid networking and improve the handling capacity. Femtocell gateways are served as case libraries, the femtocells can perform interactive learning to improve the learning efficiency and meanwhile save the long-time energy consumption caused by learning experience accumulation through the air interface except self-learning.

Description

technical field [0001] The present invention relates to communication technologies, and in particular, to a method and device for adjusting downlink power based on interactive cognitive learning. Background technique [0002] A survey in the literature "Femtocells: technologies and deployment" (Zhang, J., & De la Roche, G. (2010). Femtocells: technologies and deployment (pp.1-13). New York: Wiley.) shows that in traditional 2 / 3 of the voice services and 90% of the data services in the cell occur indoors, so the coverage and capacity of the indoor wireless access network are particularly important. The macro base station is very expensive, and the site selection, equipment installation, debugging and maintenance will consume a lot of manpower, financial resources, material resources and time. Solving this problem by adding macro base stations will increase the operator's expenses and bring to a large number of complex network planning problems. In this context, emerging dev...

Claims

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Application Information

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IPC IPC(8): H04W52/14
Inventor 高志斌温斌黄联芬蔡鸿祥姚彦张远见李馨
Owner XIAMEN UNIV
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