LTE230 power system private network optimization method
A power system and optimization method technology, applied in the direction of electrical components, network planning, network traffic/resource management, etc., to achieve the effect of convenient management, convenient maintenance, and reduced rain attenuation
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[0031] Example 1:
[0032] An LTE230 power system private network optimization method is characterized by the following steps:
[0033] A. Establish a private network for the LTE230 power system, adjust the antenna and transmit power to achieve the best coverage, and balance the capacity of the base station;
[0034] B. Perform interference location investigation and make adjustments;
[0035] C. Optimize the stability of the core network system through the active and standby configuration.
[0036] In step A, during the construction period of the project, according to the wireless environment, by adjusting the antenna and adjusting the power means, the signals in the most places meet the requirements of the lowest level required by the business.
[0037] In step B, an external field drive test is also performed to determine the latitude, longitude and range of the weak coverage area with low SINR, and perform a network adjustment plan and a blind compensation plan; the network adjustmen...
Example Embodiment
[0056] Example 2:
[0057] This embodiment is basically the same as Embodiment 1, but the difference is that after the preliminary planning is completed, a combination of qualified base stations with a transmission degree higher than the set standard is selected as the key resource base station combination for key resource transmission. Sort
[0058] Key resource transmission degree ranking sub-step 1: Calculate the key resource traffic density ToA in each grid; ToA z =K z ×(T1×N1+T2×N2+...+Tm×Nm) / S; ToA z For the key resource flow density in each grid, K z Is the key resource service concurrency coefficient in the grid area, which is manually set; Tm is the information and communication demand value of each key resource terminal, Nm is the number of key resource terminals corresponding to the Tm type in the grid area, and m is less than or equal to n;
[0059] Key resource transmission degree ranking sub-step 2: Calculate the transmission degree of all grids in each key resource bas...
Example Embodiment
[0061] Example 3:
[0062] This embodiment is basically the same as Embodiment 1, but the difference is that in step C, the grid with a flow density greater than the set value among all grids is selected as the key grid, and the key grid is calculated in each base station combination. Repeat coverage number, calculate the number of key grids in the base station combination with repeated coverage greater than 2 as the auxiliary value. When the total transmission difference value of the base station combination is less than the set threshold, select the base station combination with the least auxiliary value and sort it before.
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