ESTIMATING LONG TERM EVOLUTION NETWORK CAPACITY AND PERFORMANCE
First Claim
1. A method comprising:
- receiving, via a computing device, a selection of a target network resource for evaluation;
determining, via the computing device, key performance indicators for computing a target network resource value for the target network resource, wherein the determined key performance indicators are filtered out of a set of key performance indicators using statistical criteria and statistical approaches;
gathering a data set, the data set comprising a plurality of points, wherein each point indicates a key performance indicator value for at least one of the determined key performance indicators and the target network resource value;
training, via incremental training, a calculation module to calculate the selected target network resource value based on key performance indicator values included in the gathered data set, wherein the incremental training comprises updating the calculation module after each additional key performance indicator value set is presented to the calculation module;
testing the calculation module using a testing data set, the testing data set having a same probability distribution of key performance indicator values and target network resource values as the gathered data set; and
providing, as output, an indication that the calculation module has been trained.
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Abstract
Systems and methods for estimating network capacity or performance are disclosed. In some implementations, a target network resource is selected for evaluation. Key performance indicators for computing a target network resource value for the target network resource are determined. The determined key performance indicators are filtered out of a set of key performance indicators. A data set is gathered. The data set comprises multiple points. Each point indicates a key performance indicator value for at least one of the determined key performance indicators and the target network resource value. A calculation module is trained to calculate the selected target network resource value based on key performance indicator values included in the gathered data set. The calculation module is tested using a testing data set. The testing data set has a same probability distribution of key performance indicator values and target network resource values as the gathered data set.
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Citations
20 Claims
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1. A method comprising:
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receiving, via a computing device, a selection of a target network resource for evaluation; determining, via the computing device, key performance indicators for computing a target network resource value for the target network resource, wherein the determined key performance indicators are filtered out of a set of key performance indicators using statistical criteria and statistical approaches; gathering a data set, the data set comprising a plurality of points, wherein each point indicates a key performance indicator value for at least one of the determined key performance indicators and the target network resource value; training, via incremental training, a calculation module to calculate the selected target network resource value based on key performance indicator values included in the gathered data set, wherein the incremental training comprises updating the calculation module after each additional key performance indicator value set is presented to the calculation module; testing the calculation module using a testing data set, the testing data set having a same probability distribution of key performance indicator values and target network resource values as the gathered data set; and providing, as output, an indication that the calculation module has been trained. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A non-transitory computer-readable medium comprising instructions which, when executed by a computer, cause the computer to:
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receive a selection of a target network resource for evaluation; determine key performance indicators for computing a target network resource value for the target network resource, wherein the determined key performance indicators are filtered out of a set of key performance indicators using statistical criteria and statistical approaches; gather a data set, the data set comprising a plurality of points, wherein each point indicates a key performance indicator value for at least one of the determined key performance indicators and the target network resource value; train, via incremental training, a calculation module to calculate the selected target network resource value based on key performance indicator values included in the gathered data set, wherein the incremental training comprises updating the calculation module after each additional key performance indicator value set is presented to the calculation module; test the calculation module using a testing data set, the testing data set having a same probability distribution of key performance indicator values and target network resource values as the gathered data set; and provide, as output, an indication that the calculation module has been trained. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19)
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20. A system comprising:
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one or more processors; and a memory storing instructions which, when executed by the one or more processors, cause the one or more processors to; receive a selection of a target network resource for evaluation; determine key performance indicators for computing a target network resource value for the target network resource, wherein the determined key performance indicators are filtered out of a set of key performance indicators using statistical criteria and statistical approaches; gather a data set, the data set comprising a plurality of points, wherein each point indicates a key performance indicator value for at least one of the determined key performance indicators and the target network resource value; train, via incremental training, a calculation module to calculate the selected target network resource value based on key performance indicator values included in the gathered data set, wherein the incremental training comprises updating the calculation module after each additional key performance indicator value set is presented to the calculation module; test the calculation module using a testing data set, the testing data set having a same probability distribution of key performance indicator values and target network resource values as the gathered data set; and provide, as output, an indication that the calculation module has been trained.
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Specification