The present disclosure is a research which has been conducted with the support of the “Cross-Departmental Giga KOREA Project” of the government (the Ministry of Science and ICT) in 2017 (No. GK17N0100, Development for mmWave-based 5G mobile communication system). The present disclosure relates to a communication technique for convergence of a 5G communication system for supporting a higher data transmission rate beyond a 4G system with an IoT technology, and a system therefor. The present disclosure may be applied to an intelligent service (for example, smart home, smart building, smart city, smart car or connected car, health care, digital education, retail business, security and safety-related service, etc.) on the basis of a 5G communication technology and IoT-related technology. The present disclosure provides a system and a control method therefor, which can prevent, when a dual connectivity scheme is used, delay and data loss due to an operation of releasing and adding a secondary node cell or a process of resetting a user plane and updating a security key and a procedure of forwarding data between user planes through a common anchored user plane and changing (updating) a path between the user plane and a core.

Wireless communication devices may directly communicate within groups of wireless communication devices using Layer-2 communications to implement “push-to-talk” type applications. In one implementation, a method may include generating a floor request signaling message to take control of a communication channel for a group. After transmitting data relating to the communications, a floor release signaling message may be generated and transmitted a number of times.

Machine-learning based techniques are described herein for determining and modifying handover parameters within multilayer wireless networks. Various communication session data, such as key performance indicators, may be analyzed and compared at multiple frequency layers to determine sets of custom parameters associated with one or more wireless networks. The sets of custom parameters and network performance data may be used to train one or more machine-learned models to improve and/or optimize the handover parameters used by the network nodes. In some examples, different trained models may be associated with different network performance metrics, such as throughput optimization, network speed, and/or dropped call minimization, etc. A trained machine-learned model may be used to analyze the session data from a set of network nodes, and to determine or tune the handover parameters used by the network nodes.

A communication method implemented by a network server, includes: obtaining, based on geographical location information of a plurality of base stations, a first connection relationship between the plurality of base stations; converting the first connection relationship into a second connection relationship based on a first correspondence between geographical location information of a base station and a network element ID of a network device connected to the base station, where the second connection relationship is a topological connection relationship between a plurality of network elements, and the plurality of base stations are respectively connected to the plurality of network elements in a one-to-one correspondence; and generating a service connection configuration of the bearer network based on the second connection relationship. As a result, the service connection configuration of the bearer network can be automatically generated, thereby reducing an error rate and improving work efficiency.

A control method for communicating with an unmanned aerial vehicle (UAV) includes: transmitting a signal from a remote controller to the UAV through a first communication network; monitoring a state of the first communication network; and in response to the state of the first communication network not meeting a state condition: prompting, on an interface of the remote controller, a user to perform a user selection for selecting a cooperative method of the first communication network and a second communication network; receiving the user selection; and performing a network switching according to the selected corporation method to transmit at least a portion of the signal from the remote controller to the UAV through the second communication network.

A method for determining a working frequency point includes: each measurement period and each frequency point to be measured in each measurement period are acquired; whether a present moment is a first scheduling slice of a present measurement period is judged; if YES, frequency point switching and measurement are sequentially performed to obtain a Received Signal Strength Indication (RSSI) value of each frequency point to be measured in the present measurement period, frequency point switching back to a present working frequency point is performed, and the judging is re-executed until an RSSI value of each frequency point to be measured in each measurement period is measured; if NO, the judging is re-executed; and a working frequency point is redetermined according to a relationship between the RSSI value of each frequency point to be measured in each measurement period and an interference value of the present working frequency point.

An example system includes a server communicatively connected to a cellular base transceiver station having an RF coverage area and configured for RF communication with a first entity that is a transceiver device in the RF coverage area, wherein the server comprises a first publish-subscribe broker that is part of a publish-subscribe broker network that comprises one or more publish-subscribe brokers, wherein a second entity connected to any of the one or more publish-subscribe brokers in the publish-subscribe broker network accepts communications from the transceiver device if the second entity subscribes to data packets published by the transceiver device, and wherein the data packets published by the transceiver device are routed through the publish-subscribe broker to which the second entity is connected.

A communication method that includes: a terminal transmits data for a first application in a first communications system via a first protocol data unit (PDU) session, where the first PDU session does not support interworking between the first communications system and a second communications system. The terminal moves from the first communications system to the second communications system. After the terminal moves from the second communications system back to the first communications system, the terminal obtains a second PDU session based on at least first transmission information of the first application, and transmits data for the first application in the first communications system via the second PDU session, where the first transmission information includes an identifier of the first application.

Systems and methods of providing 5G access for a UE are generally described. The UE is simultaneously connected via dual radio operation to a legacy and 5G access system. The UE mobility management states for the access systems are independent of each other. The EPC and 5G CN share an HSS and may share a IP anchor. When handover occurs between access systems, the IP address is retained and the IP anchor used when the UE transmits an Attach Request having a Handover Attach Request Type and otherwise a new IP address is provided and the HSS but not the IP anchor is common between the access systems. The 5G eNB to which the UE is connected is standalone and connected to the 5G CN or dual mode and connected with an EPC via an LTE anchor in addition to the 5G CN.

In an embodiment, there is provided a method for support of mobile-terminated communication in an Evolved Packet System, towards a User Equipment UE in idle mode using a power saving mechanism whereby the UE is transiently not reachable, the method includes allowing one or more Downlink DL packets received for the UE to be buffered in a Serving Gateway SGW, upon request, for up to a duration referred to as DL buffering duration.