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Channel optimization method based on power evaluation

A channel optimization and power technology, which is applied in wireless communication, electrical components, network topology, etc., can solve the problems of uneven distribution of communication resources and inability to configure communication resources, so as to save total power resources, save system power resources, and optimize channels resource effect

Active Publication Date: 2012-12-19
CHINA ACADEMY OF SPACE TECHNOLOGY
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The problem solved by the technology of the present invention is: aiming at the deficiencies of the prior art, a channel optimization method based on power evaluation is provided, which solves the problem that communication resources cannot be configured or communication resources are allocated unevenly when the channel transmission environment changes

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  • Channel optimization method based on power evaluation
  • Channel optimization method based on power evaluation

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Embodiment Construction

[0033] The present invention will be further introduced below in conjunction with the accompanying drawings.

[0034] Such as figure 1 Shown is the flowchart of the present invention. The multi-channel system communication service is divided into M data service classes, and N service channels are configured in total. When assigning the initial traffic channel, firstly, when coding the data traffic and the traffic channel, encode it into an M×N order matrix as shown in the following formula, denoted as: K M×N ,Shaped like:

[0035]

[0036] The above formula is a rectangular matrix with M rows and N columns. The rows represent data services, and the columns represent service sub-channels allocated for data services. The following coding conventions are made for the state values ​​of elements K[m, n]:

[0037] When K[m, n]=0, it means that the service channel n is not allocated to the data service m, and is currently available;

[0038] When K[m, n]=1, it means that traff...

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Abstract

The invention discloses a channel optimization method based on power evaluation. The method comprises the steps of allocating initial traffic channel for data service; and performing traffic channel optimization for data service. In the step of optimizing traffic channel for the data service, every data service is subjected to traffic channel optimization according to the following steps: step1: sequencing all the traffic channel according to channel response; step2: selecting the traffic channel which has the optimal sequence and is in an unassigned state as to-be-assigned traffic channel; step 3: if the to-be-assigned traffic channel is the traffic channel which has the optimal sequence, selecting the to-be-assigned traffic channel as the traffic channel of data service; otherwise, carrying out step 4; step 4: determining traffic channel according to transmitting power and power attenuation of the to-be-assigned traffic channel and the traffic channel which has the optimal sequence. According to the channel optimization method based on power evaluation, the problems that the communication resource cannot be allocated, or communication resources are allocated unevenly under the condition that channel transmission environment changes are solved.

Description

technical field [0001] The invention relates to a channel optimization method based on power evaluation. Background technique [0002] In satellite communication, different types of data services usually have different transmission rate requirements, and the requirements for bit error rate and signal-to-noise ratio are also different. For example, voice data services usually require a bit error rate level of 10 -3 order of magnitude, video data services usually require a bit error rate level of 10 -5 The different bit error rate levels correspond to the different requirements of the signal-to-noise ratio index. Data services with lower bit error rate often require higher transmission power during transmission. The corresponding signal-to-noise ratio index is the transmission business service. The higher the quality requirement. For a multi-channel communication system, different types of data services are modulated on different channels, and the conditions of the spatial m...

Claims

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Application Information

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IPC IPC(8): H04W72/08H04W84/06
Inventor 杨童牛俊李明峰
Owner CHINA ACADEMY OF SPACE TECHNOLOGY
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