Disturbed code distribution for decreasing CDMA mobile telecommunication system same frequency interference

A technology of co-channel interference and code allocation, which is applied in the direction of code division multiplexing system, multiplexing code allocation, and multiplexing communication, etc. And other issues

Inactive Publication Date: 2007-09-05
DATANG MOBILE COMM EQUIP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The correlation performance between scrambling code groups in the existing scrambling code allocation scheme is quite different. This network planning and configuration process may cause strong interference between the working code channels of two adjacent cells.

Method used

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  • Disturbed code distribution for decreasing CDMA mobile telecommunication system same frequency interference
  • Disturbed code distribution for decreasing CDMA mobile telecommunication system same frequency interference
  • Disturbed code distribution for decreasing CDMA mobile telecommunication system same frequency interference

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0090] First, it is determined that the delay interval is [0,15]; (step S11)

[0091] Secondly, use formula (6) to calculate the correlation maximum between the scrambling code groups in the delay interval [0,15]; (step S12)

[0092] The following takes the scrambling code combination (1, 2) as an example to describe the calculation process of the maximum value associated with the scrambling code group in detail:

[0093] Scrambling code 1:

[0094] (-1 1 -1 -1 -1 1 -1 -1 1 -1 1 1 1 -1 1 -1 -1)

[0095] Scrambling code 2:

[0096] (1 1 1 1 1 -1 1 -1 1 -1 -1 1 1 1 -1 -1)

[0097] Spreading code 1:

[0098] (1 1 1 1 1 1 1 1 1 1 1 1 1 1 1)

[0099] Spreading code 2:

[0100] (1 1 1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1)

[0101] Composite code 1 can be obtained by dot product of scrambling code 1 and spreading code 1

[0102] c1=(-1 1 -1 -1 -1 1 -1 -1 1 -1 1 1 -1 1 -1 -1)

[0103] Composite code 2 can be obtained by dot product of scrambling code 2 and spreading code 2

[0...

Embodiment 2

[0114] In order to select a better scrambling code group, the scrambling code group can be selected according to the magnitude of the average value of the correlation maximum value of the scrambling code group and the composite code correlation maximum value.

[0115] Determining that the delay interval is [0,15]; (step S21)

[0116] Utilize formula (3) and formula (7) to calculate the composite code correlation maximum value and its probability in the delay interval [0,15], and then calculate the composite code correlation maximum mean value; (step S22)

[0117] Still taking the scrambling code combination (1, 2) as an example, it can be seen from Table 1 above that the 256 composite code correlation maximum values ​​obtained from the scrambling code group (1, 2) only contain two values ​​of 0.5 and 0.625, according to the formula (7 ) calculation, the probabilities of the composite code equal to 0.5 and 0.625 in the range of [0, 15] integer chip are:

[0118]

[0119] ...

Embodiment 3

[0128] In order to select a better scrambling code group, the scrambling code group can be selected according to the magnitude of the variance of the maximum correlation value of the composite code.

[0129] Select the delay interval [0, 15];

[0130] Calculate the composite code correlation maximum value and its probability distribution in the delay interval [0, 15], the specific calculation process is the same as that described in Example 2, and use formula (9) to calculate the composite code correlation in the time interval [0, 15] max variance;

[0131] Still taking the scrambling code combination (1, 2) as an example, it can be seen from the example in Table 5 that the probability that the maximum correlation value of the composite code group formed by the scrambling code group (1, 2) is equal to 0.5 is 0.875, and the probability equal to 0.625 is 0.125

[0132] Then, from formula 9, the correlation maximum variance of the scrambling code group (1, 2) can be obtained as:...

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Abstract

In the invention, when making a scramble code scheme for CDMA cell and selecting a scramble code for neighboring cell, the method comprises: selecting a time delay interval [t1, t2]; calculating the maximum value correlated to the scramble code group in time delay interval [t1, t2]; calculating the maximum value correlated to the complex code and its probability distribution to get the mean value and/or variance of maximum value correlated to t complex code; according the maximum value correlated to the scramble code and the mean value and/or variance of maximum value correlated to the complex code, selecting scramble code group to allocate.

Description

technical field [0001] The invention relates to a method for configuring codeword resources in a code division multiple access (CDMA) network, in particular to a method for configuring codeword resources for a cell in a CDMA system in the field of mobile communication. The invention is applicable to all CDMA systems such as Time Division Synchronous Code Division Multiple Access (TD-SCDMA) system in the field of mobile communication. technical background [0002] The third-generation mobile communication system widely adopts the multiple access method based on CDMA, and its basic feature is to distinguish different users with different code words. The specific implementation is to use scrambling codes to distinguish between cells, and use an Orthogonal Variable Length Spread Spectrum (OVSF) code to distinguish users in a cell. In order to realize the cellular network structure, different CDMA systems have defined different code word usage and allocation schemes, so as to fa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04J13/02H04J11/00H04J13/16
Inventor 翟海涛冯心睿秦飞毕海
Owner DATANG MOBILE COMM EQUIP CO LTD
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