Accommodation of latency variations of a communication network
A method for accommodation of latency variation in a communication network is disclosed. The method comprises identifying that a service is currently associated with a user device associated with the communication network, wherein a deviation between a latency requirement of the service and an internal latency performance of the communication network is bounded, predicting an upcoming reduction of communication network throughput for the user device, and providing a rate adaptor associated with the service with a feedback indication in response to predicting the reduction of communication network throughput, wherein the feedback indication is for rate reduction of the service. In some embodiments, the prediction and provision are performed only for user devices associated with services with bounded deviation between the latency requirement of the service and the internal latency performance of the communication network.
1 . A method for accommodation of latency variation in a communication network, the method comprising:
identifying that a service is currently associated with a user device associated with the communication network, wherein a deviation between a latency requirement of the service and an internal latency performance of the communication network is bounded;
predicting an upcoming reduction of communication network throughput for the user device, wherein predicting the upcoming reduction of the communication network throughput includes determining that a probability for upcoming communication network throughput reduction for the user device is larger than a reduction probability threshold value; and
providing a rate adaptor associated with the service with a feedback indication in response to predicting the reduction of communication network throughput, wherein the feedback indication is for rate reduction of the service.
2 . The method of claim 1 , wherein the prediction and provision are performed only for user devices associated with services with bounded deviation between the latency requirement of the service and the internal latency performance of the communication network.
3 . The method of claim 1 , wherein predicting the upcoming reduction of communication network throughput for the user device comprises predicting that a future communication network throughput value for the user device is lower than a throughput threshold value.
4 . The method of claim 1 , wherein predicting the upcoming reduction of communication network throughput for the user device comprises predicting the upcoming reduction of communication network throughput in an upcoming time window.
5 . The method of claim 4 , wherein a start time of the upcoming time window and/or a length of the upcoming time window is based on one or more of: an expected duration of the reduction of communication network throughput, a maximum acceptable latency of the latency sensitive service, and a reaction speed of the rate adaptor.
6 . The method of claim 1 , further comprising configuring the rate adaptor to apply an adjusted gradient for rate increase which is larger than a default gradient for rate increase.
7 . The method of claim 6 , wherein the rate adaptor is configured to apply the adjusted gradient for rate increase after a period with decreased rate caused by the feedback indication.
8 . The method of claim 1 , wherein the rate adaptor applies a low latency low loss scalable throughput, L4S, algorithm, and wherein providing the feedback indication comprises setting explicit congestion notification, ECN, bits.
9 . The method of claim 1 , wherein predicting the upcoming reduction of communication network throughput for the user device is based on one or more cell-specific prediction criteria and/or on one or more network-general prediction criteria.
10 . The method of claim 1 , wherein predicting the upcoming reduction of communication network throughput for the user device is based on one or more of:
a capability category of the user device;
a subscription type of the user device;
an original equipment manufacturer, OEM, of the user device;
a current time indication;
a current and/or previous location of the user device;
a current and/or previous signal quality of the user device;
a current and/or previous communication network throughput of the user device;
a current and/or previous timing advance, TA, of the user device; and
a load of a serving cell and/or a target cell.
11 . The method of claim 1 , wherein predicting the upcoming reduction of communication network throughput for the user device is based on communication network throughput statistics.
12 . The method of claim 1 , wherein identifying that a service is currently associated with a user device, wherein the deviation between the latency requirement of the service and the internal latency performance of the communication network is bounded, comprises one or more of:
detecting that a service class identifier is indicative of the service;
detecting that a bearer dedicated for low latency requirements is assigned for the service; and
determining that a traffic pattern of the service matches a latency sensitive traffic pattern.
13 . The method of claim 1 , wherein the bounded deviation between the latency requirement of the service and the internal latency performance of the communication network comprises one or more of:
a ratio between a latency requirement parameter value of the service and an internal latency performance parameter value of the communication network not exceeding a bounding threshold;
a latency requirement parameter value of the service and an internal latency performance parameter value of the communication network being in a same order of magnitude;
a latency requirement parameter value of the service and an internal latency performance parameter value of the communication network being equal; and
a required end-to-end round-trip-time of the service falling within a time range specified relative an internal round-trip-time of the communication network.
14 . The method of claim 1 , wherein the service has a maximum allowable latency which is lower than that of mobile broadband, MBB, services and/or higher than that of ultra-reliable low latency communication, URLLC, services.
15 . A computer program product comprising a non-transitory computer readable medium, having thereon a computer program comprising program instructions, the computer program being loadable into a data processing unit and configured to cause execution of the method according to claim 1 when the computer program is run by the data processing unit.
16 . An apparatus for accommodation of latency variation in a communication network, the apparatus comprising controlling circuitry configured to cause:
identification that a service is currently associated with a user device associated with the communication network, wherein a deviation between a latency requirement of the service and an internal latency performance of the communication network is bounded;
prediction of an upcoming reduction of communication network throughput for the user device, wherein predicting the upcoming reduction of the communication network throughput includes determining that a probability for upcoming communication network throughput reduction for the user device is larger than a reduction probability threshold value; and
provision to a rate adaptor associated with the service of a feedback indication in response to predicting the upcoming reduction of communication network throughput, wherein the feedback indication is for rate reduction of the service.
17 . The apparatus of claim 16 , wherein the controlling circuitry is configured to cause prediction and provision to be performed only for user devices associated with services with bounded deviation between the latency requirement of the service and the internal latency performance of the communication network.
18 . The apparatus of claim 16 , wherein the controlling circuitry is configured to cause prediction of the upcoming reduction of communication network throughput for the user device by causing prediction that a future communication network throughput value for the user device is lower than a throughput threshold value.
19 . The apparatus of claim 16 , wherein the controlling circuitry is configured to cause prediction of the upcoming reduction of communication network throughput for the user device by causing determination that a probability for upcoming reduction of communication network throughput for the user device is larger than a reduction probability threshold value.