# US 2024/0205693 A1 · System and method for intelligent throughput performance analysis and issue detection > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2024/0205693 A1 - Document ID: US20240205693A1 - Status: Published application - Kind: A1 - Application number: 18/587,501 - Filed: 2024-02-26 - Published: 2024-06-20 - Earliest claimed: 2021-12-01 - Assignees: Dell Products L.P. - Applicants: Dell Products LP - Inventors: Wei-Chia Huang; Chuang-Yueh Chen; YungShun Lin; Alan Eric Sicher; Lars Fredrik Proejts - Web page: https://patentgrep.com/patent/US20240205693A1 ## CPC - H04W 16/22: Traffic simulation tools or models - G06N 3/02: Neural networks - G06N 3/045: Combinations of networks - G06N 3/08: Learning methods - G06N 3/084: Backpropagation, e.g. using gradient descent - H04B 17/23: Indication means, e.g. displays, alarms, audible means - H04B 17/318: Received signal strength - H04B 17/373: Predicting channel quality {or other radio frequency [RF]} parameters - H04B 17/3913: {Predictive models, e.g. based on neural network models} - H04L 41/147: for predicting network behaviour - H04L 41/16: using machine learning or artificial intelligence - H04L 43/04: Processing captured monitoring data, e.g. for logfile generation - H04L 43/0811: by checking connectivity - H04L 43/0882: Utilisation of link capacity - H04L 43/0888: Throughput - H04L 43/50: Testing arrangements - H04W 8/22: Processing or transfer of terminal data, e.g. status or physical capabilities - H04W 24/02: Arrangements for optimising operational condition - H04W 24/04: Arrangements for maintaining operational condition - H04W 24/06: Testing, {supervising or monitoring} using simulated traffic - H04W 24/08: Testing, {supervising or monitoring} using real traffic - H04W 24/10: Scheduling measurement reports {; Arrangements for measurement reports} - H04L 41/046: comprising network management agents or mobile agents therefor - H04L 41/145: {involving simulating, designing, planning or modelling of a network} - H04L 43/06: Generation of reports - H04W 84/02: Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop] - H04W 88/18: Service support devices; Network management devices - H04W 92/02: Inter-networking arrangements - H04W 92/04: Interfaces between hierarchically different network devices - 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 - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## Abstract An information handling system executing an intelligent throughput performance analysis and issue detection system may comprise a network interface device to establish a wireless link with a wireless network and a processor to execute a neural network trained to predict wireless link throughput values based on controlled connectivity testing metrics gathered in a controlled laboratory from tested information handling systems. The processor may gather measured throughput of the wireless link and operational connectivity metrics for the information handling system that describe antenna positional information, antenna adaptation controller parameters, signal strength measurements, and wireless link performance metrics. The neural network may output, based on the gathered operational connectivity metrics a predicted throughput value that differs from the measured throughput by a maximum tolerance. The network interface device may transmit a notification of erroneously predicted throughput, the neural network output, and the operational connectivity metrics to a remote neural network training platform for retraining. ## Claims ### Claim 1 A first information handling system executing an intelligent throughput performance analysis and issue detection system, comprising: a network interface device to establish a wireless link with a wireless network; a processor to execute code instructions of a neural network of the intelligent throughput performance analysis and issue detection system trained to predict throughput values at the information handling system based on controlled connectivity testing metrics gathered from a plurality of tested information handling systems that includes the first information handling system; the processor to execute code instructions of the intelligent throughput performance analysis and issue detection system to: gather a measured throughput of the wireless link; gather operational connectivity metrics for the information handling system that describe antenna positional information, antenna gains, antenna adaptation controller parameters, system noise profiles, signal strength measurements, and wireless link performance metrics; output from the trained neural network a first predicted throughput value based on the gathered operational connectivity metrics; and determine a diagnosed cause operational connectivity metric causing low throughput of the measured throughput for the wireless link from the gathered operational connectivity metrics based on the first predicted throughput value at the information handling system from the trained neural network associated with the operational connectivity metrics relative to a higher predicted throughput set of operational connectivity metrics; and the network interface device to transmit a notification of the diagnosed cause operational connectivity metric for the low throughput of the first information handling system to a remote neural network training platform. ### Claim 2 (depends on 1) The information handling system of claim 1, wherein the antenna positional information includes a measured angle of a video display chassis with respect to a base chassis enclosing the network interface device. ### Claim 3 (depends on 1) The information handling system of claim 1, wherein the antenna adaptation controller parameters include identification of a radio frequency channel with which the wireless link is established. ### Claim 4 (depends on 1) The information handling system of claim 1, wherein the signal strength measurements include an Received Signal Strength Indicator (RSSI) level. ### Claim 5 (depends on 1) The information handling system of claim 1, wherein the wireless link performance metrics include a maximum allowable data bandwidth for the wireless link. ### Claim 6 (depends on 1) The information handling system of claim 1 further comprising: the processor for executing code instructions of the intelligent throughput performance analysis and issue detection system to determine a difference between the measured throughput of the wireless link and the first predicted throughput value based on the gathered operational connectivity metrics; and the processor to apply retuned weight matrices received from the remote neural network training platform directing the trained neural network to adjust to a second predicted throughput value within a maximum tolerance of the measured throughput based on the input operational connectivity metrics for the information handling system. ### Claim 7 (depends on 1) The information handling system of claim 1 further comprising: the network interface device for transmitting to a remote technical support software agent an issue report requesting remediation or reconfiguration of the information handling system to increase throughput. ### Claim 8 A method of operating a trained neural network for an intelligent throughput performance analysis and issue detection system, comprising: executing, via a hardware processor, code instructions of the trained neural network of the intelligent throughput performance analysis and issue detection system to generate a first predicted throughput value for a first information handling system, where the trained neural network of the intelligent throughput performance analysis and issue detection system is trained by inputting controlled connectivity testing metrics for each of a plurality of test information handling systems for each wireless link including a test measured throughput value and controlled connectivity testing metrics describing antenna positional information, antenna adaptation controller parameters, signal strength measurements, and wireless link performance metrics with back-propagating to minimize a first error signal measuring a difference between the test predicted throughput value and the test measured throughput value; executing the code instructions of the trained neural network of the intelligent throughput performance analysis and issue detection system to gather measured throughput during transceiving of data via a first wireless link by the first information handling system; executing the code instructions of the trained neural network of the intelligent throughput performance analysis and issue detection system to gather operational connectivity metrics including the antenna positional information, the antenna adaptation controller parameters, the signal strength measurements, and the wireless link performance metrics for the first information handling system; and executing the code instructions of the trained neural network of the intelligent throughput performance analysis and issue detection system to determine a diagnosed cause among the operational connectivity metrics causing low throughput of the measured throughput for the first wireless link from the gathered operational connectivity metrics based on the first predicted throughput value of the first information handling system from the trained neural network associated with the operational connectivity metrics compared to a higher predicted throughput set of operational connectivity metrics; and transmitting, via a network interface device, a notification of the diagnosed cause among the operational connectivity metrics for the low throughput of the first information handling system to a remote neural network training platform. ### Claim 9 (depends on 8) The method of claim 8, wherein the wireless link performance metrics include a maximum allowable radio frequency (RF) bandwidth for the wireless link. ### Claim 10 (depends on 8) The method of claim 8, wherein the antenna positional information includes a measured orientation or location of an antenna with respect to a radiofrequency transparent window of a chassis enclosing the antenna. ### Claim 11 (depends on 8) The method of claim 8, wherein the antenna adaptation controller parameters include identification of a modulation coding scheme (MCS) for coding or decoding of data frames transceived via the wireless link. ### Claim 12 (depends on 8) The method of claim 8, wherein the antenna adaptation controller parameters include identification of the network interface device model number. ### Claim 13 (depends on 8) The method of claim 8 further comprising: receiving from the first information handling system, via the network interface device, a notification of a predicted throughput value output from the trained neural network executing at the first information handling system based on the operational connectivity metrics for the first information handling system that is erroneous relative to an operational measured throughput value gathered for the first information handling system; and retraining the neural network by inputting the operational connectivity metrics and back-propagating to minimize a second error signal measuring a difference between an updated predicted throughput value and the operational measured throughput value. ### Claim 14 (depends on 8) The method of claim 8 wherein the trained neural network for an intelligent throughput performance analysis and issue detection system includes a modeled relationship between the controlled connectivity testing metrics and a test predicted throughput value for wireless links transceiving data according to the controlled connectivity testing metrics with a multi-layer, feed-forward neural network. ### Claim 15 An information handling system executing an intelligent throughput performance analysis and issue detection system, comprising: a network interface device to establish a wireless link with a wireless network; a processor to execute code instructions of a neural network of the intelligent throughput performance analysis and issue detection system trained to predict throughput values at the information handling system based on controlled connectivity testing metrics gathered in a controlled laboratory from a plurality of tested information handling systems that includes the information handling system; the processor to execute code instructions of the intelligent throughput performance analysis and issue detection system to: gather a measured throughput of the wireless link and operational connectivity metrics for the information handling system that describe antenna positional information, antenna adaptation controller parameters, signal strength measurements, and wireless link performance metrics; output from the trained neural network a first predicted throughput value based on the gathered operational connectivity metrics; and determine a difference does not exceed a maximum tolerance between the first predicted throughput value and the measured throughput; determine a diagnosed cause operational connectivity metric causing low throughput of the measured throughput for the wireless link from the gathered operational connectivity metrics based on the first predicted throughput value at the information handling system from the trained neural network associated with the operational connectivity metrics relative to a higher predicted throughput set of operational connectivity metrics; and the network interface device to transmit a notification of the diagnosed cause operational connectivity metric for the low throughput of the first information handling system to a remote neural network training platform. ### Claim 16 (depends on 15) The information handling system of claim 15, wherein the antenna positional information includes a measured orientation or location of a primary antenna with respect to an auxiliary antenna. ### Claim 17 (depends on 15) The information handling system of claim 15, wherein the antenna adaptation controller parameters include identification of a wireless protocol according to which the network interface device transceives wireless data via the wireless link. ### Claim 18 (depends on 15) The information handling system of claim 15, wherein the signal strength measurements include a path loss measurement. ### Claim 19 (depends on 15) The information handling system of claim 15, wherein the wireless link performance metrics include a link data rate and modulation. ### Claim 20 (depends on 15) The information handling system of claim 15 further comprising: the processor for executing code instructions of the intelligent throughput performance analysis and issue detection system to determine a difference exceeding a maximum tolerance between the first predicted throughput value and the measured throughput; and the processor to apply retuned weight matrices received from the remote neural network training platform to direct the trained neural network to output a second predicted throughput value within the maximum tolerance of the measured throughput based on the input operational connectivity metrics.