Abstract: A method of uniquely identifying a user equipment (UE) connected to a radio access network (RAN) includes: providing a radio access network intelligent controller (RIC) component associated with the RAN; configuring, by a packet data convergence protocol (PDCP) layer, a default data radio bearer (DRB) for the UE to maintain Internet Protocol (I) Protocol Data Unit (PDU) connectivity with the RAN; and using, by the RIC, one of NG uplink (UL) user plane (UP) Transport Layer Information or S1 UL UP Transport Layer Information of the default DRB for uniquely identifying the UE for the entire time the UE is connected to the RAN. The unique identification for the UE is retained across at least one of i) multiple connectivity sessions for the UE, ii) multiple mobility sessions for the UE, and iii) multiple context sessions for the UE.

Abstract: A method of optimizing traffic steering (TS) radio resource management (RRM) decisions for handover of individual user equipment (UE) in Open Radio Access Network (O-RAN) includes: providing an O-RAN-compliant near real time RAN intelligent controller (near-RT RIC) configured to interact with O-RAN nodes; and utilizing an artificial intelligence (AO-based TS application xApp in the near-RT RIC to optimize TS handover control and maximize UE throughput utility. The TS xApp is configured utilizing a virtualized and simulated environment for O-RAN, which virtualized and simulated environment for O-RAN is provided by ns-O-RAN platform. The optimization problem to be solved is formulated as a Markov Decision Process (MDP), and a solution to the optimization problem is derived by using at least one reinforcement learning (RL) technique.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a characteristic value of a performance characteristic associated with an uplink connection enabled via a network of a user equipment to application server equipment hosting the network application. The method can further include, based on the characteristic value and a criterion, selecting, by the system, a first packet size for the uplink connection. The method can further include communicating, by the system, to the user equipment, the first packet size for use with the uplink connection.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a characteristic value of a performance characteristic associated with an uplink connection enabled via a network of a user equipment to application server equipment hosting the network application. The method can further include, based on the characteristic value and a criterion, selecting, by the system, a first packet size for the uplink connection. The method can further include communicating, by the system, to the user equipment, the first packet size for use with the uplink connection.

Abstract: A method of generic encoding of a radio access network (RAN) parameter exchanged over E2 application protocol (E2AP) between an Open Radio Access Network (O-RAN) node and a near-real time radio access network intelligent controller (near-RT RIC) includes: providing a generic encoding mechanism for a message structure containing at least one RAN parameter, wherein the generic encoding mechanism includes a first categorization of each RAN parameter exchanged between the O-RAN node and the near-RT RIC into one of ELEMENT type, STRUCTURE type or LIST type; wherein the ELEMENT type parameter is a singleton variable which does not have any other associated RAN parameter; the STRUCTURE type parameter is a sequence of RAN parameters in which each RAN parameter in the sequence can be one of the ELEMENT type parameter, another STRUCTURE type parameter, or the LIST type parameter; and the LIST type parameter is a list of STRUCTURE type parameters.

Abstract: A wireless communications system includes radio components (O-RU, O-DU, O-CU), an ORAN Non-Real-Time RAN Intelligent Controller (Non-RT RIC) framework, an O-RU Controller and a CBSD Controller interfacing with a Spectrum Access System (SAS) using the Wireless Innovation Forum (WINNF) CBSD-SAS Interface. An example of CBSD Controller is a Domain Proxy (DP) defined by WINNF. The CBSD Controller is disclosed as an application belonging to the Non-RT RIC. This application could be an rApp. The Non RT MC Framework operates as a broker to route information between the O-RU Controller and the CBSD Controller. Data types are defined to be exchanged over the R1 interface.

Abstract: The described technology is generally directed towards reducing latency in a wireless communications network. Radio access network latency data corresponding to a measured latency impact criterion is obtained by a network device of a wireless network. Based on the radio access network latency data, latency guidance data usable by the radio network device to achieve a reduction in communication latency that is experienced by a user equipment is predicted, e.g., by a learned model. The latency guidance data can be used to facilitate a reduction in the communication latency that is experienced by a user equipment.

Abstract: Optimal data packet size is identified to achieve a higher throughput a wireless communication network. For example, a system can comprise monitoring a transmit control protocol performance associated with a first transmission of data packets over a first duration of time, wherein a packet size of the data packets is a first data packet size, detecting that the transmit control protocol performance satisfies a function with respect to a threshold and in response to the detecting that transmit control protocol performance satisfies the function with respect to the first threshold, determining a second data packet size to use for a second transmission of the data packets over a second duration of time, transmitting a request to change the packet size of the data packets to the second data packet.

Abstract: Aspects of the subject disclosure may include, for example, a method including monitoring a video session to determine key performance indicators for cross-layer interactions between a network providing video session video data and user equipment receiving the video session video data, wherein the key performance indicators include a transmission control protocol congestion window size that corresponds to a video chunk requested by the user equipment, and a radio access network throughput of a download of the video chunk requested by the user equipment, and determining a quality of service for the user equipment during the video session according to a residual length of content in a playback buffer for the user equipment based on the transmission control protocol congestion window size, and the radio access network throughput. Other embodiments are disclosed.

Abstract: Various embodiments disclosed herein provide for identifying optimal data packet size to achieve a higher throughput a wireless communication network. According to some embodiments, a system can comprise monitoring a transmit control protocol performance associated with a first transmission of data packets over a first duration of time, wherein a packet size of the data packets is a first data packet size, detecting that the transmit control protocol performance satisfies a function with respect to a threshold and in response to the detecting that transmit control protocol performance satisfies the function with respect to the first threshold, determining a second data packet size to use for a second transmission of the data packets over a second duration of time, transmitting a request to change the packet size of the data packets to the second data packet.

Abstract: A method of uniquely identifying a user equipment (UE) connected to a radio access network (RAN) includes: providing a radio access network intelligent controller (RIC) component associated with the RAN; configuring, by a packet data convergence protocol (PDCP) layer, a default data radio bearer (DRB) for the UE to maintain Internet Protocol (I) Protocol Data Unit (PDU) connectivity with the RAN; and using, by the RIC, one of NG uplink (UL) user plane (UP) Transport Layer Information or S1 UL UP Transport Layer Information of the default DRB for uniquely identifying the UE for the entire time the UE is connected to the RAN. The unique identification for the UE is retained across at least one of i) multiple connectivity sessions for the UE, ii) multiple mobility sessions for the UE, and iii) multiple context sessions for the UE.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a characteristic value of a performance characteristic associated with an uplink connection enabled via a network of a user equipment to application server equipment hosting the network application. The method can further include, based on the characteristic value and a criterion, selecting, by the system, a first packet size for the uplink connection. The method can further include communicating, by the system, to the user equipment, the first packet size for use with the uplink connection.

Abstract: The described technology is generally directed towards network traffic splitting for dual connectivity user equipment. A network controller can monitor communications transmitted between radio access network node devices. The radio access network node devices can be associated with different generation communication protocols. The inter-node communications can be used assess relative performance of the radio access network node devices. For example, buffer growth rates can be estimated for the radio access network node devices, and buffer growth rates can be correlated with network node device performance. The relative performance of the radio access network node devices can then be used to adjust network traffic splits between the radio access network node devices.

Abstract: Aspects of the subject disclosure may include, for example, a method including monitoring a video session to determine key performance indicators for cross-layer interactions between a network providing video session video data and user equipment receiving the video session video data, wherein the key performance indicators include a transmission control protocol congestion window size that corresponds to a video chunk requested by the user equipment, and a radio access network throughput of a download of the video chunk requested by the user equipment, and determining a quality of service for the user equipment during the video session according to a residual length of content in a playback buffer for the user equipment based on the transmission control protocol congestion window size, and the radio access network throughput. Other embodiments are disclosed.

Abstract: Various embodiments disclosed herein provide for identifying optimal data packet size to achieve a higher throughput a wireless communication network. According to some embodiments, a system can comprise monitoring a transmit control protocol performance associated with a first transmission of data packets over a first duration of time, wherein a packet size of the data packets is a first data packet size, detecting that the transmit control protocol performance satisfies a function with respect to a threshold and in response to the detecting that transmit control protocol performance satisfies the function with respect to the first threshold, determining a second data packet size to use for a second transmission of the data packets over a second duration of time, transmitting a request to change the packet size of the data packets to the second data packet.

Abstract: Aspects of the subject disclosure may include, for example, a method including monitoring a video session to determine key performance indicators for cross-layer interactions between a network providing video session video data and user equipment receiving the video session video data, wherein the key performance indicators include a transmission control protocol congestion window size that corresponds to a video chunk requested by the user equipment, and a radio access network throughput of a download of the video chunk requested by the user equipment, and determining a quality of service for the user equipment during the video session according to a residual length of content in a playback buffer for the user equipment based on the transmission control protocol congestion window size, and the radio access network throughput. Other embodiments are disclosed.

Abstract: The described technology is generally directed towards reducing latency in a wireless communications network. Radio access network latency data corresponding to a measured latency impact criterion is obtained by a network device of a wireless network. Based on the radio access network latency data, latency guidance data usable by the radio network device to achieve a reduction in communication latency that is experienced by a user equipment is predicted, e.g., by a learned model. The latency guidance data can be used to facilitate a reduction in the communication latency that is experienced by a user equipment.

Abstract: The described technology is generally directed towards reducing latency in a wireless communications network. Radio access network latency data corresponding to a measured latency impact criterion is obtained by a network device of a wireless network. Based on the radio access network latency data, latency guidance data usable by the radio network device to achieve a reduction in communication latency that is experienced by a user equipment is predicted, e.g., by a learned model. The latency guidance data can be used to facilitate a reduction in the communication latency that is experienced by a user equipment.

Abstract: Aspects of the subject disclosure may include, for example, a method including monitoring a video session to determine key performance indicators for cross-layer interactions between a network providing video session video data and user equipment receiving the video session video data, wherein the key performance indicators include a transmission control protocol congestion window size that corresponds to a video chunk requested by the user equipment, and a radio access network throughput of a download of the video chunk requested by the user equipment, and determining a quality of service for the user equipment during the video session according to a residual length of content in a playback buffer for the user equipment based on the transmission control protocol congestion window size, and the radio access network throughput. Other embodiments are disclosed.

Abstract: The described technology is generally directed towards reducing latency in a wireless communications network. Radio access network latency data corresponding to a measured latency impact criterion is obtained by a network device of a wireless network. Based on the radio access network latency data, latency guidance data usable by the radio network device to achieve a reduction in communication latency that is experienced by a user equipment is predicted, e.g., by a learned model. The latency guidance data can be used to facilitate a reduction in the communication latency that is experienced by a user equipment.