Method and system for managing mobile network congestion
A method for managing mobile network congestion including: determining cell metrics over a predetermined time interval for each cell of a plurality of cells; determining correlations between the cell metrics for each cell; determining whether any cell of the plurality of cell are congestion based on the correlations; determining a type of congestion for any cell determined to be congested; and determining traffic actions based on the type of congestion. A system for managing mobile network congestion having: a collection module configured to determine cell metrics over a predetermined time interval for each cell of a plurality of cells; a correlation module configured to determine correlations between the cell metrics; an analysis module configured to determine whether any cell is congestion based on the correlations and a type of congestion for any cell determined to be congested; and a traffic action module configured to determine traffic actions.
1. A method for managing mobile network congestion, the method comprising:
determining cell metrics over a predetermined time interval for each cell of a plurality of cells of the mobile network;
determining correlations between the cell metrics for each cell;
determining whether any cell of the plurality of cell are congestion based on the correlations;
determining a type of congestion for any cell determined to be congested; and
determining traffic actions based on the type of congestion, and if the type of congestion is backhaul congestion, the traffic action is to reprioritize a traffic flow accessing the backhaul, wherein the backhaul is considered congested if a Pearson correlation between throughput and loss is higher than a predetermined threshold.
2. A method according to claim 1 wherein the mobile network is a radio access network.
3. A method according to claim 1 wherein cell metrics comprise: subscriber metrics associated with each cell and traffic metrics associated with each cell.
4. A method according to claim 1 wherein determining cell metrics comprises:
determining heavy users for each cell wherein a heavy user is a subscriber having throughput above a predetermined throughput threshold; and
determining suffering users for each cell, wherein a suffering user is a subscriber having round trip time above a predetermined round trip time threshold.
5. A method according to claim 3 wherein traffic metrics comprise: Throughput, Round Trip Time and Loss.
6. A method according to claim 1 wherein the correlation is a Pearson correlation between cell metrics.
7. A method according to claim 6 wherein if the Pearson correlation between throughput and round trip time is greater than a predetermined threshold the cell is considered congested.
8. A method according to claim 1 wherein a cell is considered congested if the cell is experiencing higher than an average network number of heavy users, and of suffering users and a correlation between cell metrics above a predetermined threshold.
9. A system for managing mobile network congestion, the system comprising:
a collection module configured to determine cell metrics over a predetermined time interval for each cell of a plurality of cells of the mobile network;
a correlation module configured to determine correlations between the cell metrics for each cell;
an analysis module configured to determine whether any cell of the plurality of cell are congestion based on the correlations and a type of congestion for any cell determined to be congested; and
a traffic action module configured to determine traffic actions based on the type of congestion and, if the type of congestion is backhaul congestion, the traffic action is to reprioritize a traffic flow accessing the backhaul, wherein the backhaul is considered congested if a Pearson correlation between throughput and loss is higher than a predetermined threshold.
10. A system according to claim 9 wherein the mobile network is a radio access network.
11. A system according to claim 9 wherein the collection module is configured to determine:
subscriber metrics associated with each cell and traffic metrics associated with each cell of the plurality of cells.
12. A system according to claim 9 wherein the collection module is further configured to:
determine heavy users for each cell wherein a heavy user is a subscriber having throughput above a predetermined throughput threshold; and
determine suffering users for each cell, wherein a suffering user is a subscriber having round trip time above a predetermined round trip time threshold.
13. A system according to claim 9 wherein the collection module is further configured to determine Throughput, Round Trip Time and Loss.
14. A system according to claim 9 wherein the correlation module is further configured to determine a Pearson correlation between cell metrics.
15. A system according to claim 14 wherein if the Pearson correlation between throughput and round trip time is greater than a predetermined threshold the cell is considered congested.
16. A system according to claim 9 wherein a cell is considered congested if the cell is experiencing higher than an average network number of heavy users, and of suffering users and a correlation between cell metrics above a predetermined threshold.
17. A method according to claim 1 wherein the metrics are determined from measurements taken over an SGi or S1-U interface.
18. A system according to claim 9 wherein the metrics are determined from measurements taken over an SGi or S1-U interface.