IP Library Granted Patent US 11,490,348
Granted Patent B2
US 11,490,348 · App. 16/990,944 · Granted Nov 1, 2022

Signal quality database

Inventors: Steven Paul Papa (Windham, NH); Rajesh Kumar Mishra (Westford, MA); Sridhar Donepudi (Nashua, NH); Simon Mellor (Heathfield, GB)
Assignee: Parallel Wireless, Inc.
H04W56/006H04W24/10H04W52/241H04W52/245H04W52/283H04W24/02H04W64/00
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Quick Facts
Patent No.
US 11,490,348
App. No.
16/990,944
Granted
Nov 1, 2022
Kind
B2
Abstract

Systems and methods for a self-calibrating and self-adjusting network are disclosed. A method is disclosed, comprising: receiving mobile device measurement reports from a mobile device at a gateway situated between a radio access network (RAN) and a core network via a base station in the RAN; determining a location of the mobile device at a measurement time of the mobile device measurement reports; associating the location with the mobile device measurement reports into a measurement record; storing a plurality of measurement records obtained over a time period and over multiple mobile devices; and providing query access to the plurality of measurement records by retrieving results corresponding to a plurality of search parameters transmitted to the gateway.

Claims (24)

1. A method, comprising:

receiving a signal quality measurement for a mobile device at a coordinating server situated between a radio access network (RAN) and a core network;

storing, at an aggregation server, the signal quality measurement, a user equipment identifier of the mobile device, a time of the signal quality measurement, and a location of a mobile device location as a record;

aggregating, at the aggregation server, the location with mobile device measurement reports into a measurement record;

storing, at the coordinating server, at least one statistical measure of a signal quality measurement of aggregated additional records;

updating, at the coordinating server, a minimum and a maximum threshold value for an operational network parameter based on the stored at least one statistical measure; and

adjusting at the aggregation server, the operational network parameter based on the minimum and the maximum threshold value,

compiling, at a base station, a record of call drops per aggregated location at a database;

performing, at the base station, prediction of future call drops based on the compiled record of call drops per aggregated location and a position parameter, thereby providing an improvement to the radio access network over a geographic area.

2. The method of claim 1 , wherein the signal quality measurement is one of call drop rate and block error rate, and wherein a mobile device location is derived from a global positioning service (GPS) coordinate location associated with the mobile device, and wherein the mobile device is a user equipment (UE).

3. The method of claim 1 , wherein the mobile device is a user equipment (UE), the base station is an eNodeB, and the database is located at a gateway.

4. The method of claim 1 , wherein the mobile device location is derived from a location of an associated tracking area or eNodeB.

5. The method of claim 1 , wherein the aggregation server aggregates stored signal quality measurements from more than one mobile device.

6. The method of claim 1 , wherein the aggregation server is the base station and an in-data path network node in a data path between the base station and a core network.

7. The method of claim 1 , further comprising presenting one of real-time network conditions, historical network conditions, and projected future network conditions based on the stored signal quality measurement and the stored mobile device location.

8. The method of claim 1 , wherein the stored at least one statistical measure is a mean and a standard deviation.

9. The method of claim 8 , further aggregating, at the coordinating server, further additional records from the database that match a traffic type at the mobile device, and storing a second mean and a second standard deviation value of the signal strength parameter of the aggregated further additional records.

10. The method of claim 1 , further comprising aggregating, at the coordinating server, the additional records from the database that match a second set of criteria, and storing a second statistical measure of the aggregated additional records, and updating the minimum and the maximum threshold value based on the second statistical measure.

11. The method of claim 10 , wherein the second set of criteria is a second period of time for measurement reports received at the base station.

12. The method of claim 1 , wherein a signal strength parameter is block error rate (BLER), and further comprising receiving a traffic type.

13. The method of claim 1 , wherein a signal strength parameter is radio signal strength indicator (RSSI) for a voice call.

14. The method of claim 1 , wherein the operational network parameter is repositioning of at least one of a plurality of antennas of the base station.

15. The method of claim 1 , further aggregating, at the coordinating server, further additional records from the database based on a number of calls dropped by any one of the mobile device, the base station, and a distance from the base station.

16. The method of claim 1 , wherein the mobile device is a network probe or sampler sending measurement reports to the base station or the coordinating server.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 13, 2022
From: PAPA, STEVEN PAUL; MISHRA, RAJESH KUMAR; DONEPUDI, SRIDHAR; MELLOR, SIMON
To: PARALLEL WIRELESS, INC.
Reel/Frame 061081/0428 →
RELEASE OF SECURITY INTEREST Recorded Jul 12, 2022
From: VENTURE LENDING & LEASING IX, INC.; WTI FUND X, INC.
To: PARALLEL WIRELESS, INC.
Reel/Frame 060900/0022 →
SECURITY INTEREST Recorded Mar 1, 2022
From: PARALLEL WIRELESS, INC.
To: VENTURE LENDING & LEASING IX, INC.; WTI FUND X, INC.
Reel/Frame 059279/0851 →