Transport network routing

A network dynamics module for a communication network comprising a transport network including at least one transport slice comprising a plurality of transport tunnels for a service on a service area defined by an end-to-end, E2E, slice, and a quality of service, QoS, parameter per transport tunnel, the network dynamics module comprising:

• at least one processor;
• at least one memory connected to the at least one processor and storing program code that is executed by the at least one processor to perform operations comprising:
• determine whether a connection per transport tunnel from the plurality of transport tunnels can be established to support the service based on an assigned initial bandwidth per transport tunnel given the bandwidth value of the E2E slice and an availability of resources for the transport tunnel, the assigned initial bandwidth value determined according to a policy of an operator or a requester of the service;
• when the connection is established, calculate a new bandwidth value per connection per transport tunnel based on statistics from measurements of traffic flow per transport tunnel and a corresponding QoS parameter for the transport tunnel;
• receive a determined bandwidth for an estimated traffic flow for a future time period per active transport tunnel in the plurality of transport tunnels, the determined bandwidth calculated from measurements at a defined periodicity of traffic and the QoS parameter per active transport tunnel;
• and
• select a routing path from a plurality of candidate routing paths according to a learned policy of an artificial intelligence, AI, model that selects the routing path based on load balancing for the future time period in view of the bandwidth of the estimated traffic flow, the new bandwidth values, and the bandwidth value of the E2E slice.

A network dynamics module for a communication network comprising a transport network including at least one transport slice comprising a plurality of transport tunnels for a service on a service area defined by an end-to-end, E2E, slice, and a quality of service, QoS, parameter per transport tunnel, the network dynamics module adapted to perform operations comprising:

• determine whether a connection per transport tunnel from the plurality of transport tunnels can be established to support the service based on an assigned initial bandwidth per transport tunnel given a bandwidth value of the E2E slice and an availability of resources for the transport tunnel, the assigned initial bandwidth value determined according to a policy of an operator or a requester of the service;
• when the connection is established, calculate a new bandwidth value per connection per transport tunnel based on statistics from measurements of traffic flow per transport tunnel and a corresponding QoS parameter for the transport tunnel;
• receive a determined bandwidth for an estimated traffic flow for a future time period per active transport tunnel in the plurality of transport tunnels, the determined bandwidth calculated from measurements at a defined periodicity of traffic and the QoS parameter per active transport tunnel;
• and
• select a routing path from a plurality of candidate routing paths according to a learned policy of an artificial intelligence, AI, model that selects the routing path based on load balancing for the future time period in view of the bandwidth of the estimated traffic flow, the new bandwidth values, and the bandwidth value of the E2E slice.

A computer program comprising program code to be executed by processing circuitry of a network dynamics module for a communication network comprising a transport network including at least one transport slice comprising a plurality of transport tunnels for a service on a service area defined by an end-to-end, E2E, slice, and a quality of service, QoS, parameter per transport tunnel, whereby execution of the program code causes the network dynamics module to perform operations comprising:

• determine whether a connection per transport tunnel from the plurality of transport tunnels can be established to support the service based on an assigned initial bandwidth per transport tunnel given a bandwidth value of the E2E slice and an availability of resources for the transport tunnel, the assigned initial bandwidth value determined according to a policy of an operator or a requester of the service;
• when the connection is established, calculate a new bandwidth value per connection per transport tunnel based on statistics from measurements of traffic flow per transport tunnel and a corresponding QoS parameter for the transport tunnel;
• receive a determined bandwidth for an estimated traffic flow for a future time period per active transport tunnel in the plurality of transport tunnels, the determined bandwidth calculated from measurements at a defined periodicity of traffic and the QoS parameter per active transport tunnel;
• and
• select a routing path from a plurality of candidate routing paths according to a learned policy of an artificial intelligence, AI, model that selects the routing path based on load balancing for the future time period in view of the bandwidth of the estimated traffic flow, the new bandwidth values, and the bandwidth value of the E2E slice.