Embodiments of this application provide a reporting information sending method, an apparatus, and a system. The method includes: A user plane network element receives, from a first access network element, a first message including an identifier of a first quality of service flow QoS flow and first indication information, where the first indication information is used to indicate whether a quality of service QoS requirement of the first QoS flow can be satisfied; and sends first reporting information including second indication information to an application function network element based on the first message, where the second indication information is used to indicate whether a QoS requirement of a service data flow of an application can be satisfied, and the first QoS flow is used to transmit the service data flow of the application corresponding to the application function network element.

A method and computer readable medium for identifying slow base stations and providing impact mitigation are described. In one embodiment, the method includes detecting that a first base station, using a first queue, is slow, wherein a slow base station is a base station that that cannot keep up with the rate at which a core node is generating update messages over a prolonged period; providing a slow base station queue; and moving the first base station from the first queue to the slow base station queue.

Disclosed embodiments generally relate to edge-based multi-Radio Access Technology (RAT) traffic management (TM) solutions to support delay-sensitive traffic over heterogeneous networks. Embodiments include delay-aware TM implementations that split and/or steer network traffic across different RATs for the edge network control plane. Embodiments also include utilization threshold-based implementations to achieve delay-aware multi-path TM at the network's edge. The multi-path TM includes multi-RAT, multi-access, or multi-connectivity traffic routes. Embodiments include strategies to sort users (or devices) for making multi-RAT traffic distribution decisions and to determinate the utilization thresholds. Embodiments also include message exchange mechanisms or learning utilization thresholds and other useful system properties. Other embodiments may be described and/or claimed.

Techniques for measuring and reducing signal misalignment in a dual connectivity environment are discussed herein. When using Non-Standalone Architecture (NSA), a device initially communicates with a network using a Long-Term Evolution (LTE) connection. After the LTE connection is established, an LTE base station may instruct the device to measure signal strength of a neighboring New Radio (NR) cell during a specified LTE measurement gap. When the NR cell is implemented by an indoor NR base station, the NR signal may not be sufficiently synchronized with the LTE signal and the device may be unable to measure the NR signal during the measurement gap. In these cases, the device can determine the frame timing difference between the LTE and NR signals, obtain an adjusted measurement gap that reduces any measurement gap misalignment, and attempt to measure the signal strength of the NR cell using the adjusted measurement gap.

Techniques described herein may enable a user equipment (UE) to optimize radio access technology (RAT) and radio resources (e.g., bandwidth parts (BWPs)) when communicating with the network. This may be based on one or more factors or conditions, such as whether the UE is currently using 4th generation (4G) RAT or 5th generation (5G) RAT, whether the UE is in an active mode or idle mode, a BWP used by the UE, whether an application or network service requires a certain throughput, a type of application being used by the UE, an amount of network congestion, and so on. RAT optimization may also be based on whether the UE is using a frequency range 1 (FR1) or frequency range 2 (FR2), whether the UE is stationary or moving, whether the UE is experiencing beam failures, uplink (UL) switches, link quality measurements (LQMs), reference signal received power (RSRP) measurements, and so on.

An edge device is disclosed and includes a processor, a memory, and a power management unit (PMU). The processor executes code instructions of an edge throughput services management system for managing a wireless network and one or more devices operatively coupled to the wireless network and the edge device. The processor detects a number of managed client information handling systems operatively coupled to the edge device; creates a persona associated with each of the managed client information handling systems; conducts an inventory of one or more applications requiring network access associated within each persona; prioritizes each persona for network access; and prioritizes each application associated with each persona for network access. The edge throughput services management system to provide a service for monitoring and recommending adjustments to the wireless network and managed client information handling systems for flexible data bandwidth access to the wireless network.

A wireless access point (WAP) supports one or more physical layer (PHY) operational parameters which can be restricted from use to lessen congestion within a wireless network (WN). The WAP periodically transmits a management frame to enable one or more communication devices to establish and/or maintain communication with the WAP. The wireless network can restrict one or more of the one or more PHY operational parameters, such as PHY data rates to provide an example, that are supported by the WAP from being utilized for communicating the management frame. This restriction of the one or more PHY operational parameters allows the WAP to periodically transmit the management frame at an increased PHY data rate thereby decreasing time needed for communicating the management frame which can lessen the congestion within the WN.

A management method is described, the management method implemented by a core network entry device. The method comprises, for at least one terminal connected to the mobile access network via an access point, following the receipt of an NAS request from the terminal, detecting whether a contention period is associated with this terminal. If not, a contention period to be applied for sending NAS requests to the network core is associated with and transmitted to the terminal. If a contention time is associated with the terminal and has not been respected by the terminal a temporary identifier allocated to the terminal for communicating with the network core is sent to the terminal via the access point, and a control message comprising at least a part of the temporary identifier is sent to the access point, the control message requiring blocking by the access point of all or part of the requests sent by a terminal which contains at least one part of the temporary identifier.

A method where a data analytics network element may determine a background traffic transmission data analysis result of a first terminal device based on target background traffic transfer policies of another terminal device (that is, a second terminal device), and where the data analytics network element may further enable a first policy control network element to determine a background traffic transfer policy of the first terminal device. Therefore, the background traffic transfer policy of the first terminal device is determined by the first policy control network element with reference to the other terminal devices.

The present invention provides a method and a system for arranging base stations in a millimeter wave communication network. The method establishes a stochastic optimization framework for millimeter-wave base station deployment in the urban street geometry and provides a low-complexity user association arrangement which can well balance the workloads among BSs and reduce the outage probability by taking the time-varying nature of user equipments' positions and the susceptibility of millimeter-wave links to blockage effect into account. Compared with the state-of-the-art approaches, the present invention can effectively and efficiently reduce the outage probability in the long term.