Network table error detection using call trace records

1. A system for correcting network planning data, the system comprising:

a planning repository comprising information on network traffic, network element locations, and network element connectivity;

a repository of a wireless network comprising a plurality of call trace records; and

an information processing system comprising a processor and a memory device coupled to the processor in communication with the planning database and with the repository of the wireless network, the memory device containing a set of instructions that, when executed by the processor, cause the processor to:

receive call trace records from a wireless network interface and 1) send one set of the call trace records to an error detector module, and 2) send another set of the call trace records for storage in memory; and

compare in the error detector module information in the at least one call trace record received directly from the wireless network interface with corresponding information stored in the planning repository to identify one or more errors in the information stored in the planning repository wherein the set of instructions that cause the processor to identify one or more errors further cause the processor to identify one or more network elements having uncalibrated media latency based on timing advance information.

2. The system of claim 1 , wherein the set of instructions further cause the processor to correct the information stored in the planning repository based on the comparison.

3. The system of claim 1 , wherein the set of instructions that cause the processor to identify one or more errors further cause the processor to identify one or more network elements not included in the information stored in the planning repository.

4. The system of claim 3 , wherein the set of instructions that cause the processor to identify one or more network elements not included in the information stored in the planning repository further cause the processor to:

identify one or more cell identifiers referenced in the at least one received call trace record;

determine if the information stored in the planning repository includes each of the identified cell identifiers; and

selectively generate a report identifying at least one cell identifier not included in the planning repository responsive to the determination.

5. The system of claim 1 , wherein the network elements comprise one or more high capacity cells and one or more Distributed Antenna System (DAS) nodes and wherein the set of instructions that cause the processor to identify one or more errors further cause the processor to determine if at least one of the high capacity cells is identified as a DAS node in the planning repository.

6. The system of claim 1 , wherein the network elements comprise one or more User Equipment (UE) elements and wherein the set of instructions that cause the processor to identify one or more network elements having uncalibrated media latency further cause the processor to:

analyze distribution of timing advance values associated with at least one UE element referenced in the at least one received call trace record;

determine geographical location of each of the at least one UE element based on the information included in the received call trace record;

analyze a network model representing a segment of the network corresponding to the determined geographical location; and

identify one or more elements having the distribution of timing advance values inconsistent with the analyzed network model.

7. The system of claim 1 , wherein the network elements comprise one or more high capacity cells and one or more eNodeBs and wherein the set of instructions that cause the processor to identify one or more network elements having uncalibrated media latency further cause the processor to:

analyze distribution of timing advance values associated with a plurality of signal measurements made by at least one high capacity cell referenced in the at least one received call trace record generated by a serving eNodeB;

calculate at least one value indicative of an nth percentile of the analyzed timing advance values;

determine if the calculated at least one value is greater than an inter-site distance value between the serving eNodeB and a neighboring eNodeB nearest to the serving eNodeB; and

identify at least one high capacity cell responsive to determination that the calculated at least one value is greater than the inter-site distance.

8. The system of claim 7 , wherein the n th percentile comprises approximately 20 th percentile.

9. The system of claim 1 , wherein the network elements comprise one or more cells and one or more eNodeBs and wherein the set of instructions that cause the processor to identify one or more network elements having uncalibrated media latency further cause the processor to:

analyze distribution of timing advance values associated with a plurality of signal measurements made by at least one cell referenced in the at least one received call trace record generated by a serving eNodeB;

calculate a first value indicative of approximately a 20th percentile of the analyzed timing advance values and a second value indicative of approximately an 80th percentile of the analyzed timing advance values;

calculate a ratio of the second and first values;

determine if the calculated ratio is less than a predefined threshold value; and

identify at least one cell responsive to determination that the calculated ratio is less than the predefined threshold value.

10. The system of claim 1 , wherein the network elements comprise one or more high capacity cells and one or more DAS nodes and wherein the set of instructions that cause the processor to identify one or more network elements having uncalibrated media latency further cause the processor to:

compare the identified one or more network elements with corresponding information stored in the planning repository to determine if the identified network elements are labeled as DAS nodes in the planning repository; and

identify one or more network elements that are not labeled as DAS nodes based on the comparison.

11. A method for correcting network planning data in a wireless communication system, the method comprising steps of:

receiving call trace records from a wireless network interface and 1) send one set of the call trace records to an error detector module, and 2) send another set of the call trace records for storage in memory; and

comparing, in the error detector module information in the at least one call trace record received directly from the wireless network interface with corresponding information stored in a planning repository to identify one or more errors in the information stored in the planning repository,

wherein the planning repository stores information on network traffic, network element locations, and network element connectivity and wherein the step of identifying one or more errors further comprises identifying one or more network elements having uncalibrated media latency based on timing advance information.

12. The method of claim 11 , further comprising the step of correcting the information stored in the planning repository based on the comparison.

13. The method of claim 11 , wherein the step of identifying one or more errors further comprises identifying one or more network elements not included in the information stored in the planning repository.

14. The method of claim 13 , wherein the step of identifying one or more network elements not included in the information stored in the planning repository further comprises:

identifying one or more cell identifiers referenced in the at least one received call trace record;

determining if the information stored in the planning repository includes each of the identified cell identifiers; and

selectively generating a report identifying at least one cell identifier not included in the planning repository responsive to the determination.

15. The method of claim 11 , wherein the network elements comprise one or more high capacity cells and one or more Distributed Antenna System (DAS) nodes and wherein the step of identifying one or more errors further comprises determining if at least one of the high capacity cells is identified as a DAS node in the planning repository.

16. The method of claim 11 , wherein the network elements comprise one or more User Equipment (UE) elements and wherein the step of identifying one or more network elements having uncalibrated media latency further comprises:

analyzing distribution of timing advance values associated with at least one UE element referenced in the at least one received call trace record;

determining geographical location of each of the at least one UE element based on the information included in the received call trace record;

analyzing a network model representing a segment of the network corresponding to the determined geographical location; and

identifying one or more elements having the distribution of timing advance values inconsistent with the analyzed network model.

17. The method of claim 11 , wherein the network elements comprise one or more cells and one or more eNodeBs and wherein the step of identifying one or more network elements having uncalibrated media latency further comprises:

analyzing distribution of timing advance values associated with a plurality of signal measurements made by at least one cell referenced in the at least one received call trace record generated by a serving eNodeB;

calculating at least one value indicative of an nth percentile of the analyzed timing advance values;

determining if the calculated at least one value is greater than an inter-site distance value between the serving eNodeB and a neighboring eNodeB nearest to the serving eNodeB; and

identifying at least one cell responsive to determination that the calculated at least one value is greater than the inter-site distance.

18. The method of claim 17 , wherein the n th percentile comprises approximately 20th percentile.