# US 11,310,806 B1 · Drive test analysis > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,310,806 B1 - Document ID: US11310806B1 - Status: Granted - Kind: B1 - Application number: 17/108,203 - Filed: 2020-12-01 - Granted: 2022-04-19 - Earliest claimed: 2020-12-01 - Assignees: T-Mobile USA, Inc. - Applicants: T-Mobile USA, Inc. - Inventors: Shahzad Bashir - Web page: https://patentgrep.com/patent/US11310806B1 ## CPC - H04W 72/541: using the level of interference - G06N 3/08: Learning methods - G06N 3/09: Supervised learning - G06N 3/092: Reinforcement learning - H04B 17/345: Interference values ({signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]} H04B17/336) - H04W 16/14: Spectrum sharing arrangements {between different networks} - H04W 24/08: Testing, {supervising or monitoring} using real traffic - H04W 88/06: adapted for operation in multiple networks {or having at least two operational modes}, e.g. multi-mode terminals - G06N 20/00: Machine learning - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - H04B: TRANSMISSION ## Abstract Systems and methods for detecting, identifying, and locating a source of radio frequency (RF) interference are discussed herein. An interference signal can prevent a user equipment (e.g., mobile phone, smartphone, or the like) from receiving a network signal altogether, can cause a temporary loss of the network signal, can affect the quality of the network signal received, or the like. The system allows for an interference source emitting the interference signal to be detected, identified, and located so that the signal can be powered off to clear a frequency band, thereby improving network service. ## Claims ### Claim 1 A system for identifying a source of an interference signal, the system comprising: a detection device including: a location module configured to determine a geographic location of the detection device when receiving the interference signal; a radio frequency (RF) power sensor configured to detect power amplitudes over a range of frequencies of the interference signal; and a processor configured to: compare characteristics of the interference signal to characteristics of a known signal, calculate a confidence level of a source of the interference signal, the confidence level indicating that the interference signal matches an identity of the known signal based on the comparison of the characteristics of the interference signal to the characteristics of the known signal, identify the source of the interference signal based on the confidence level, and output the source of the interference signal. ### Claim 2 (depends on 1) The system of claim 1, wherein the characteristics of the interference signal include the geographic location, a signal signature, or both. ### Claim 3 (depends on 2) The system of claim 2, wherein the characteristics of the known signal include a known geographic location, a known signal signature, or both. ### Claim 4 (depends on 1) The system of claim 1, further comprising a memory configured to store information associated with the known signal. ### Claim 5 (depends on 4) The system of claim 4, wherein the information includes a source of the known signal, a geographic location of the source, a signal signature of the known signal, or combinations thereof. ### Claim 6 (depends on 1) The system of claim 1, wherein the confidence level further indicates that the interference signal is a partial match or no match with the identity of the known signal based on the comparison of the characteristics of the interference signal to the characteristics of the known signal. ### Claim 7 (depends on 1) The system of claim 1, wherein the detection device further comprises an input to select or receive an instruction with the set of frequencies across which the interference signal is collected and analyzed. ### Claim 8 (depends on 1) The system of claim 1, further comprising an artificial intelligence (AI) module configured to identify the source of the interference signal based on the confidence level. ### Claim 9 (depends on 8) The system of claim 8, wherein the AI module includes supervised learning, unsupervised learning, reinforcement learning, an artificial neural network, or combinations or multiples thereof. ### Claim 10 (depends on 1) The system of claim 1, further comprising an external interference database including information associated with the known signal. ### Claim 11 (depends on 10) The system of claim 10, wherein the detection device communicates with the external interference database via a wireless communication protocol. ### Claim 12 (depends on 11) The system of claim 11, wherein the processor is further configured to recall the characteristics of the known signal from the external interference database to compare against the characteristics of the interference signal. ### Claim 13 (depends on 1) The system of claim 1, wherein the processor is further configured to compare the characteristics of the interference signal to characteristics of known signals from different geographic locations proximal to a geographic location at which the interference signal is collected when an initial confidence level is associated with a partial match or no match. ### Claim 14 (depends on 1) The system of claim 1, wherein the processor compares the characteristics of the interference signal to characteristics of known signals from different geographic locations proximal to the geographic location at which the interference signal is collected when an initial confidence level is associated with a partial match or no match. ### Claim 15 A method for identifying a source of an interference signal, the method comprising: receiving the interference signal; determining a geographic location of the detection device at which the interference signal is received; determining a signal signature based on power amplitudes of the received interference signal received over a set of frequencies; comparing characteristics of the interference signal to characteristics of a known signal; calculating a confidence level of a source of the interference signal, the confidence level indicating that the interference signal source matches a source of the known signal based on the comparison of the characteristics; identifying the source of the interference signal based on the confidence level; and outputting the source of the interference signal. ### Claim 16 (depends on 15) The method of claim 15, wherein the characteristics of the interference signal include the geographic location, the signal signature, or both. ### Claim 17 (depends on 15) The method of claim 15, wherein the characteristics of the known signal include a known geographic location, a known signal signature, or both. ### Claim 18 (depends on 15) The method of claim 15, further comprising retrieving the characteristics of the known signal from a memory of a detection device or an external interference database to compare against the characteristics of the interference signal. ### Claim 19 (depends on 15) The method of claim 15, further comprising training an artificial intelligence module to identify the source of the interference signal based on a comparison of the characteristics of the interference signal to the characteristics of a known signal. ### Claim 20 (depends on 15) The method of claim 15, further comprising comparing the characteristics of the interference signal to characteristics of known signals from different geographic locations proximal to the geographic location at which the interference signal is collected when an initial confidence level is associated with a partial match or no match.