IP Library Granted Patent US 10,327,165
Granted Patent B2
US 10,327,165 · App. 15/386,243 · Granted Jun 18, 2019

Methods and systems for monitoring mobile networks

Inventors: Beum Seuk Lee (London, GB); Dymitr Ruta (Abu Dhabi, AE); Kin Poon (Abu Dhabi, AE); Okung Ntofon (London, GB); Sid Shakya (London, GB); Gilbert Owusu (London, GB)
Assignees: Khalifa University of Science, Technology and Research; British Telecommunications PLC; Emirates Telecommunications Corporation
H04W24/08G06F16/904H04L41/5022H04L43/08H04L43/0876H04L43/16
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Quick Facts
Patent No.
US 10,327,165
App. No.
15/386,243
Granted
Jun 18, 2019
Kind
B2
Abstract

This invention relates to methods and systems for monitoring mobile service quality in a mobile network and also for determining parts of a mobile network which need expansion or upgrade. Embodiments of the invention monitor the market impact and/or service quality, and determine an expansion ranking. The market impact, service quality and/or expansion ranking may view the network from a plurality of perspectives, including a location perspective, an historical time perspective, a future time perspective and/or a network element type perspective. The results of the monitoring and determining can be acted on by predetermined rules and/or actions to derive a list of prioritized expansion tasks for the network.

Claims (51)

1. A computer-implemented method of monitoring improving the performance of a communication network having multiple network segments, the computer-implemented method including:

collecting, for each network segment, data about network usage in that segment and storing said network usage data in a database;

determining, for each network segment, a plurality of quality indicators related to the quality of service in that segment, wherein:

at least one of the quality indicators is a market impact score which is calculated based on predicted changes in the size of one or more customer segments using said network; and

at least one of the quality indicators is a service quality score which is calculated from at least one measure of network performance, at least one measure of customer experience and at least one measure of customer loyalty, each of which is determined from collected data,

calculating, from said network usage data and said plurality of quality indicators, at least one performance metric representing the performance of the network segment;

based on said at least one performance metric, determining a ranking score for each network segment;

based on said ranking score, determining a priority order for the modification of the segments to improve their performance; and

based on said priority order, performing an improvement to said communication network selected from the group of improvements consisting of adjusting an angle of an antenna of a transmitter of the communication network, adjusting a height of said antenna, increasing a number of communication channels of said transmitter, increasing a power of said transmitter, replacing said transmitter, upgrading said transmitter, and adding a base station to said communication network.

2. The computer-implemented method according to claim 1 , wherein the step of determining a priority order comprises,

based on said ranking score and at least one performance indicator for each segment, determining said priority order for the modification of elements across the communication network.

3. The computer-implemented method according to claim 1 , further including:

storing, in a registry, a set of a predetermined rules, each of which sets out one or more relationships between said quality indicators and group of improvements; and

applying one or more of said rules to each determined quality indicator to determine which element of said group of improvements requires modification.

4. The computer-implemented method according to claim 3 , further including:

predicting the performance of the network according by predicting at least one of said quality indicators for the segment in which the improvement was performed on the assumption that the improvement had not been performed; and

evaluating the effectiveness of the improvement by comparing said predicted quality indicator with the measured value of the same quality indicator for said segment after said improvement has been performed.

5. The computer-implemented method according to claim 4 , further including the steps of:

determining an impact score for each of said applied rules;

comparing each impact score to a stored threshold for said rule; and

performing said improvement only if the impact score exceeds said threshold.

6. The computer-implemented method according to claim 1 , wherein at least one of the quality indicators is a predicted performance of the network segment at a future time calculated from historical data.

7. The computer-implemented method according to claim 3 , wherein the transmitter is a multi-channel communication radio configured to wirelessly communicate with a plurality of mobile devices.

8. The computer-implemented method according to claim 7 wherein said step of performing an improvement to said communication network comprises performing an improvement selected from the group consisting of altering the angle or height of said antenna or increasing the number of communication channels or the power of said radio.

9. A performance improving system for improving the performance of a communication network, the network having multiple network segments, the system including:

a processor; and

at least one database,

wherein the processor is configured to:

collect, for each network segment, data about network usage in that segment and store said network usage data in one of said databases;

determine, for each network segment, a plurality of quality indicators related to the quality of service in that segment, wherein:

at least one of the quality indicators is a market impact score which is calculated based on predicted changes in the size of one or more customer segments using said network; and

at least one of the quality indicators is a service quality score which is calculated from at least one measure of network performance, at least one measure of customer experience and at least one measure of customer loyalty, each of which is determined from collected data;

calculate, from said network usage data and said plurality of quality indicators, at least one performance metric representing the performance of the network segment;

based on said at least one performance metric, determine a ranking score for each network segment;

based on said ranking score, determine a priority order for the modification of the segments to improve their performance; and

based on said priority order, performing an improvement to said communication network selected from the group of improvements consisting of adjusting an angle of an antenna of a transmitter of the communication network, adjusting a height of said antenna, increasing a number of communication channels of said transmitter, increasing a power of said transmitter, replacing said transmitter, upgrading said transmitter, or adding a base station to said communication network.

10. The system according to claim 9 , wherein determining a priority order comprises,

based on said ranking score and at least one performance indicator for each segment, determining said priority order for the modification of elements across the communication network.

11. The system according to claim 10 , wherein the processor is further configured to

store, in a registry, a set of a predetermined rules, each of which sets out one or more relationships between said quality indicators and said and group of improvements;

apply one or more of said rules to each determined quality indicator to determine which element of said group of improvements requires modification.

12. The system according to claim 11 , wherein the processor is further configured to:

predict the performance of the network according by predicting at least one of said quality indicators for the segment in which the improvement was performed on the assumption that the improvement had not been performed; and

evaluate the effectiveness of the improvement by comparing said predicted quality indicator with the measured value of the same quality indicator for said segment after said improvement has been performed.

13. The system according to claim 12 , wherein the processor is further configured to:

determine an impact score for each of said applied rules;

compare each impact score to a stored threshold for said rule; and

cause said improvement to be performed only if the impact score exceeds said threshold.

14. The system according to claim 9 , wherein at least one of the quality indicators is a predicted performance of the network segment at a future time calculated from historical data.

15. The system according to claim 11 , wherein the transmitter is a multi-channel communication radio configured to wirelessly communicate with a plurality of mobile devices.

16. The system according to claim 15 wherein said performing an improvement to said communication network comprises performing an improvement selected from the group consisting of altering the angle or height of said antenna or increasing the number of communication channels or the power of said radio.

Assignments (2)
CHANGE OF NAME Recorded Aug 8, 2019
From: KHALIFA UNIVERSITY OF SCIENCE, TECHNOLOGY AND RESEARCH
To: KHALIFA UNIVERSITY OF SCIENCE AND TECHNOLOGY
Reel/Frame 050006/0773 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 18, 2017
From: LEE, BEUM SEUK; RUTA, DYMITR; POON, KIN; NTOFON, OKUNG; SHAKYA, SID; OWUSU, GILBERT
To: KHALIFA UNIVERSITY OF SCIENCE, TECHNOLOGY AND RESEARCH; BRITISH TELECOMMUNICATIONS PLC; EMIRATES TELECOMMUNICATIONS CORPORATION
Reel/Frame 041392/0001 →
Continuity (1)
Related Publication 20180176803A1 · Jun 21, 2018