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    • 3. 发明专利
    • Network fault diagnosis
    • GB2594512A
    • 2021-11-03
    • GB202006432
    • 2020-04-30
    • SPATIALBUZZ LTD
    • ANDREW BLAKEMICHAEL SHANNON
    • H04L12/24H04W24/08
    • Diagnosing faults in a utility supply network (e.g. mobile communications network) where performance data indicative of utility supply network performance is received, historical performance data indicative of historical performance of the utility supply network along with a fault associated with the historical performance data is obtained, and faults determined based performance data and historical performance data comparisons. Comparisons may be made using data from portions of the network based on similarity with the portion of the network related to performance data. Performance data may comprise subjective data and objective data. Subjective data may relate to user network perceptions, generated in response to communication from the user regarding network performance, status requests, complaints, feedback, repair subscriptions or call centre calls. Objective data may relate to network performance measurements for users submitting communications regarding network performance and may comprise signal strength, data rates, latency, voice quality, errors, and SINAD. Faults may be determined in response to communications from users in geographic regions exceeding thresholds. Likelihoods that actual faults are determined fault may be based on performance and historical performance data similarities. Artificial intelligence algorithms may modify likelihoods that determined faults are actual faults. Faults occurring in maintenance windows may also be determined.
    • 4. 发明专利
    • Network monitoring system
    • GB2592083A
    • 2021-08-18
    • GB202004450
    • 2020-03-27
    • SPATIALBUZZ LTD
    • ANDREW BLAKEMICHAEL SHANNON
    • H04W24/08H04L12/26H04W24/10
    • A network monitoring system for monitoring performance of a utility supply network, such as a communication network. The system comprises an asynchronous subsystem 119 configured to receive scheduled measurements of network performance characteristics from a plurality of user equipments (UEs) 110 connected to the network, and to store the scheduled measurements in a database 140. The system also comprises a synchronous subsystem 121 configured to receive triggered measurements of network performance characteristics from at least one UE connected to the network, and to store the triggered performance measurements in the database 140. The asynchronous subsystem can assign scheduled measurements to a processing queue, and batch process the measurements. The triggered may be associated with network performance queries. The system may request triggered measurements after receiving a query, for example measurements from UEs within a distance of a querying UE. Measurements may comprise data rates, signal strengths, latency or jitter.
    • 8. 发明专利
    • Network monitoring system and method
    • GB2593529A
    • 2021-09-29
    • GB202004457
    • 2020-03-27
    • SPATIALBUZZ LTD
    • ANDREW BLAKEMICHAEL SHANNON
    • H04L12/26H04L12/24H04L12/703H04W24/08H04W40/24
    • A method of verifying repair of a component in a utility supply network, particularly a communication network. The method comprises receiving an indication that a repair of the component has been completed at a repair time, the component associated with a first region of the network. A measure of the number of user equipments (UEs) that have connected to the network in the first region within a measurement period is determined, the measurement period starting after the repair time. The measure of the number of UEs connected within the measurement period is compared to a first threshold, and it is determined whether repair of the component was successful based on the comparison of the measure of the number of UEs to the first threshold. Measuring the number of connected UEs could comprise determining the number of received network performance reports. The method can also compare the number of network usage events to a threshold, such as the number of voice calls, data calls or SMS messages. The thresholds could be based on an expected number of users for the location or time of day, week, etc.