Network entity and user equipment for transmission rate control
A network entity for a mobile telecommunications system, including circuitry configured to perform transmission rate control of data transmissions according to a transmission control protocol, wherein the transmission rate control is performed based on an output of a machine learning algorithm including a prediction of a congestion of the data transmissions.
1. A network entity for a mobile telecommunications system, comprising:
circuitry configured to
perform transmission rate control of data transmissions according to a transmission control protocol, wherein the transmission rate control is performed based on an output of a machine learning algorithm including a prediction of a congestion of the data transmissions; and
generate a MAC control element including a recommended bitrate, wherein the transmission rate control is performed by transmitting the MAC control element to a user equipment using a service based on the transmission control protocol, which adjusts in response to and based on the transmitted MAC control element the transmission rate of the data transmissions according to the transmission control protocol.
2. The network entity according to claim 1 , wherein the transmission rate control is performed by controlling a data scheduling rate.
3. The network entity according to claim 1 , wherein the recommended bitrate is based on the output of the machine learning algorithm.
4. The network entity according to claim 1 , wherein the MAC control element includes an averaging window time.
5. The network entity according to claim 4 , wherein the averaging window time is based on the output of the machine learning algorithm.
6. The network entity according to claim 1 , wherein the circuitry is further configured to receive a query for the recommended bitrate from the user equipment and to transmit in response to the received query the MAC control element to the user equipment.
7. The network entity according to claim 1 , wherein the circuitry is further configured to perform transmission control protocol data packet inspection.
8. The network entity according to claim 7 , wherein the machine algorithm includes a recurrent neural network.
9. The network entity according to claim 8 , wherein an output of the recurrent neural network includes at least one of a timing of a connection restriction start, a location of a connection restriction start, a type of a restricted service and a prediction of an uplink transmission rate control, a downlink rate control or both.
10. The network entity according to claim 8 , wherein an input of the recurrent neural network includes time series data.
11. The network entity according to claim 10 , wherein the time series data include radio conditions.
12. The network entity according to claim 11 , wherein the radio conditions include at least one of a synchronization signal-reference signal received power, a channel state information-reference signal received power, a synchronization signal-reference signal received quality, a channel state information-reference signal received quality, a channel quality indicator, a sounding reference signal measurement and a block error rate.
13. The network entity according to claim 10 , wherein the time series data include at least one of an error and a missing ACK at a radio link control layer.
14. A network entity for a mobile telecommunications system, comprising:
circuitry configured to
perform transmission rate control of data transmissions according to a transmission control protocol, wherein the transmission rate control is performed based on an output of a machine learning algorithm including a prediction of a congestion of the data transmissions; and
receive a MAC control element including a data rate preference from a user equipment using a service based on the transmission control protocol and wherein the transmission rate control is performed further based on the MAC control element.
15. The network entity according to claim 14 , wherein the MAC control element includes an uplink packet data convergence protocol queueing delay per at least one of channel quality indicator and 5G quality of service indicator.
16. The network entity according to claim 14 , wherein the MAC control element changes at least one of radio link control and packet data convergence protocol parameters.
17. The network entity according to claim 16 , wherein the parameters include at least one of Poll-PDU, Poll-Byte and packet data convergence protocol discard timer.