1 TD network optimization method urgently needs reform
In the network optimization work of TD Phase I and II, the industry generally adopts the DT / CQT method, that is, to evaluate the network coverage, interference, quality and other measurement indicators by dialing the test. Because it is based on the results obtained by point, line and other tests, the limitations of the test are large, and the overall quality of the network cannot be objectively evaluated. At the same time, the quality of TD terminals in the market is uneven. During DT / CQT testing, the test terminal may not be able to find the problems of ordinary commercial terminals, resulting in a deviation between the test results and the actual user experience. In addition, the DT / CQT method requires a lot of manpower and material resources, and has to pay a high time cost, which is unbearable for both operators and equipment vendors.
The third phase of TD will cover 200 cities, and the network scale will be more than 10 times of the first and second phases. If the network optimization model of the first and second phases continues, the demand for manpower and material resources will also increase by more than 10 times, which is not conducive to the rapid establishment of TD. Boutique network. Therefore, the industry urgently needs to transform the existing TD network optimization model to improve network optimization efficiency.
2 TD MRR brings dawn
Through self-developed TD-MRR tool, ZTE has changed the current measurement mode afterwards, and has greatly improved the efficiency of TD network optimization by collecting and analyzing the data on the existing network. MR (Measurement Report) refers to the measurement report sent by the user to the network in the call state. It is divided into public measurement and private measurement, which intuitively reflects the wireless environment of the user during the call. Collecting MR through RNC can obtain comprehensive network-level measurements that DT / CQT cannot obtain. The TD MRR tool collects and post-processes measurement reports sent by users and NodeB measurements. Network optimization engineers import MR data into post-processing tools to display network quality such as coverage, interference, signal-to-interference ratio, quality, and transmission power. , Used to simulate the user's wireless environment, analyze the user's experience from a measurement perspective, and understand the user's wireless environment experience and perception from a first perspective. Table 1 shows the performance comparison of DT / CQT and TD MRR.
Table 1 Performance comparison of DT / CQT and TD MRR
The TD MRR tool has rich functions such as network evaluation, problem cell analysis, and geographic display.
2.1 Network evaluation
In the process of network construction, it is often necessary to evaluate the coverage of the network. The most commonly used method is to conduct DT tests on the entire network. The DT test can only be performed on the street, and cannot be tested to every point, so the coverage evaluation result of the entire network is more one-sided. At the same time, the DT whole network test requires multiple groups of DT testers to spend multiple days to cover the entire network. Evaluation efficiency is low. It is very convenient to use the TD MRR tool. During the coverage evaluation, the actual field strength of each user is counted, and the statistical value is objective and comprehensive.
In Figure 1, the PCCPCH RSCP of RNC1 has a coverage of 89.42% higher than -90dBm, 98.2% higher than -100dBm, and 10.58% of the sampling points are lower than -90dBm. According to the statistics of the downstream RSCP, it can be found that these calls are conducted under weak coverage. For these weak-field calls, problems such as access failure, handover failure, and dropped calls are very likely to occur.
Figure 1 Schematic diagram of downlink RSCP statistics
2.2 Problem cell analysis
Problem cells include over coverage, weak coverage, strong interference, high block error rate, and UPPTS interference. Taking the weak coverage cell as an example, the problem cell analysis process can be divided into:
(1) Downlink weak coverage TOPN cell selection
Through the screening of TOP10 cells with weak downlink coverage, find the cells with a high downlink weak coverage ratio. Each weakly covered cell can see the average PCCPCH RSCP value to understand the approximate coverage.
It can be found from FIG. 2 that the cells with CellIDs of 169, 25791, 26202, 25811, 25142, etc. are downlink weakly covered TOPN cells.
Figure 2 Schematic diagram of the downlink weak coverage TopN cell function
(2) PCCPCH RSCP display in downlink weak coverage cells
According to the filtered TOP10 downlink weak coverage cells, check the distribution of PCCPCH RSCP indicators of a weak coverage cell.
It can be found from Fig. 3 that the PCCPCH RSCP of the Cell ID of 25811 is distributed between -90 ~ -100dBm, and the coverage is relatively poor.
Figure 3 Schematic diagram of coverage distribution of weak coverage cells
(3) Geographical coverage of weak coverage cells
According to the filtered TOP10 downlink weak coverage cells, check the geographical distribution of PCCPCH RSCP of a weak coverage cell to understand the regional distribution of weak coverage.
It is found through Figure 4 that the geographical coverage of the cell with CellID 25811 is only about 100m away from the base station, indicating that there is blocking or insufficient transmission power. It is recommended to check the hardware transmission power and whether there is blocking.
Figure 4 Schematic diagram of geographic coverage of weak coverage cells
2.3 Geographical display
After the MRR tool completes the grid positioning, the area of ​​network coverage, interference, block error rate and pilot pollution is displayed on the GIS map in different colors by grid rendering, and the network optimization engineer can quickly find the problem location. Perform key analysis.
It is observed through Figure 5 that the coverage near the Jiahu Hotel is poor, and a key analysis is needed.
Figure 5 Schematic diagram of coverage of the entire network
3 TD MRR doubles network efficiency
From the experience of network optimization in the first and second phases of TD, at least three sets of test equipment, three test vehicles, and a five-day test workload are required for three groups of testers to fully test the medium-sized network. The TD MRR tool can partially replace DT / CQT work. Engineers no longer need to perform large-scale network testing, but optimize according to the MRR analysis results, or only need to perform a small range of test verification to meet the requirements, and the network optimization efficiency Great improvement (see Table 2). Network optimization engineers are freed from the arduous drive test work and put more energy into improving the network quality in the problem areas.
Table 2 Comparison of DT / CQT and TD MRR resource requirements
The MRR tool is used to analyze the network, supplemented by DT / CQT testing, and the working efficiency will be increased by 200% compared with the traditional DT / CQT method. Using the TD MRR tool can speed up the current TD phase 3 network optimization process, which can greatly alleviate the current shortage of network optimization engineers.
4 The best choice for TD network optimization
The TD MRR tool has already begun to be applied in Fujian, Beijing and other places, and has achieved the expected results. It is believed that the TD MRR tool will definitely take advantage of its accurate evaluation results, high analysis efficiency, and save manpower and material resources in the third phase of TD network optimization work, greatly improve network efficiency, and become a weapon for TD network quality analysis.
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