METHOD AND SERVER FOR DETERMINING HOME NETWORK QUALITY

• US 20150036523A1
• Filed: 03/11/2013
• Published: 02/05/2015
• Est. Priority Date: 03/15/2012
• Status: Active Grant

• Current Assignee: Alcatel-Lucent SA (Nokia Corporation)
• Original Assignee: Alcatel-Lucent SA (Nokia Corporation)
• Inventors: Gacanin, Haris
• Granted Patent: US 9,473,376 B2
• Time in Patent Office: Days
• US Class Current: 370/252
• CPC Class Codes: H04L 12/2825 Reporting to a device located outside the home and the home network access arrangements H04L12/2856; for remote control or remote monitoring of applications H04L67/025; telephonic communication systems adapted for combination with telemetering systems H04M11/002
• CPC Class Codes: H04L 41/0213 Standardised network management protocols, e.g. simple network management protocol [SNMP]
• CPC Class Codes: H04L 43/08 Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
• CPC Class Codes: H04L 43/0882 Utilisation of link capacity
• CPC Class Codes: H04L 65/80 Responding to QoS

Abstract

Method for determining from a remote server a user quality of service (QoS) class of a home network, comprising the following steps performed at the remote server which is connected through the internet with the home network: obtaining home network measurement data of at least one home network parameter associated with a capacity of the home network, using an application layer protocol for remote management, said capacity being a measure for an amount of traffic that the home network can handle at one time; processing said home network measurement data to estimate the capacity of the home network or a parameter related thereto; based on the estimated capacity or parameter related thereto classifying said home network in a user QoS class.

Claims

1. Method for determining from a remote server a user quality of service (QoS) class of a home network,

performed at the remote server which is connected through the internet with the home network comprising:

obtaining home network measurement data of at least one home network parameter associated with a capacity of the home network, using an application layer protocol for remote management, said capacity being a measure for an amount of traffic that the home network can handle at one time;

processing said home network measurement data to estimate the capacity of the home network or a parameter related thereto;

based on the estimated capacity or parameter related

thereto classifying said home network in a user QoS class.

2. Method of claim 1, wherein said application layer protocol for remote management is the TR-069 protocol.

3. Method of claim 1, wherein said home network is connected to the internet through a home gateway, and said network measurements are obtained through said home gateway.

4. Method of claim 1, wherein said at least one home network parameter comprises at least one of the following, preferably in the form of a frequency dependent vector:

channel frequency response (CFR), signal- to-noise ratio (SNR), bit error rate (BER), cyclic redundancy check (CRC), retransmission counter, a noise level.

5. Method of claim 1, wherein said obtaining home network measurement data comprises obtaining at least a first and second CFR vector measured for the home network;

said processing said home network measurement data comprises

calculating at least one capacity vector as a function of at least said first and second CFR vector,

and calculating an average capacity value based on said at least one capacity vector; and

said classifying comprises classifying said home network in a user QoS class based on at least said average capacity value.

6. Method of claim 1, wherein said obtaining home network measurement data comprises obtaining at least a series of measurement data representative for noise in the home network;

and said classifying is further based on said series of measurement data representative for the noise.

7. Method of claim 1, wherein classifying information is stored in a database, and wherein the classifying of the home network is done based on said classifying information and the estimated capacity or parameter related thereto.

8. Method of claim 7, wherein the estimated capacity or value related thereto is stored in the database as a reference value;

and

wherein the steps of claim 1 are repeated to obtain a further estimated capacity or parameter related thereto; and

wherein this further estimated capacity or parameter related thereto is compared with the reference value.

9. Server adapted for determining a user quality of service (QoS) class of a home network, comprising:

a data collector adapted for obtaining, through the internet, home network measurement data of at least one home

network parameter associated with a capacity of the home network, using an application layer protocol for remote management, said capacity being a measure for an amount of traffic that the home network can handle at one time;

a processor adapted to process said home network measurement data to estimate the capacity of the home network or a parameter related thereto;

a classifier adapted to classify said home network in a user QoS class, based on the estimated capacity or parameter related thereto.

10. Server of claim 9, wherein said data collector is a TR-069 enabled device.

11. Server of claim 9, wherein said at least one home network parameter comprises at least one of the following, preferably in the form of a frequency dependent vector:

channel frequency response (CFR), signal-to-noise ratio (SNR), bit error rate (BER), cyclic redundancy check (CRC), retransmission counter, a noise level.

12. Server of any of the claim 9, wherein said data collector is adapted to obtain at least a first and second CFR vector measured for the home network;

said processor is adapted to calculate at least one capacity vector as a function of at least said first and second CFR vector, and to calculate an average capacity value based on said at least one capacity vector; and

said classifier is adapted to classify said home network in a user QoS class based on at least said average capacity value.

13. Server of any of the claim 9, wherein said data collector is adapted to obtain at least a series of measurement data representative for noise in the home network;

and said classifier is adapted to classify said home network based on said series of measurement data representative for the noise.

14. System comprising a server of any of the claim 9, and a home gateway/said server being connected through the internet to the home gateway/wherein said home gateway is a TR-069 enabled device adapted to receive from said server a request for said network measurement data of at least one home network parameter associated with a capacity of the home network/to obtain measurement data of said at least one home network parameter/and to send said network measurement data to the server.

15. System of claim 14, further comprising a database storing classifying information;

wherein said classifier is adapted to classify said home network in a user QoS class based on the classifying information.