Systems, apparatuses and methods may provide for technology that adjusts, via a short-term subsystem, a communications parameter for one or more of wireless communication devices based on data from one or more of a plurality of sensors. The technology may also determine, via a neural network, a prediction of future performance of the wireless network based on a state of the network environment, wherein the state of the network environment includes information from the short-term subsystem and location information about the wireless communication devices and other objects in the environment, and determine a change in network configuration to improve a quality of communications in the wireless network based on the prediction of future performance of the wireless network. The technology may further generate generic path loss models based on time-stamped RSSI maps and record a sequence of events that cause a significant drop in RSSI to determine a change in network configuration.

Systems, apparatuses and methods may provide for technology that adjusts, via a short-term subsystem, a communications parameter for one or more of wireless communication devices based on data from one or more of a plurality of sensors. The technology may also determine, via a neural network, a prediction of future performance of the wireless network based on a state of the network environment, wherein the state of the network environment includes information from the short-term subsystem and location information about the wireless communication devices and other objects in the environment, and determine a change in network configuration to improve a quality of communications in the wireless network based on the prediction of future performance of the wireless network. The technology may further generate generic path loss models based on time-stamped RSSI maps and record a sequence of events that cause a significant drop in RSSI to determine a change in network configuration.

The present disclosure relates to a communication technique for converging IoT technology with a 5G communication system for supporting a higher data transmission rate beyond a 4G system, and a system therefor. The present disclosure may be applied to an intelligent service (for example, a smart home, a smart building, a smart city, a smart car or connected car, health care, digital education, retail business, a security and safety-related service, etc.) on the basis of 5G communication technology and IoT-related technology. A method carried out by a network data analytics function (NWDAF) device, and a device for carrying out same may be provided according to various embodiments of the present disclosure, the method comprising the steps of: acquiring, for a protocol data unit (PDU) session, traffic pattern-related information, traffic type-related information and current time-related information; determining an inactivity timer value for the PDU session on the basis of the traffic pattern-related information, traffic type-related information and current time-related information; and transmitting the inactivity timer value to a session management function (SMF) device.

The present disclosure relates to a communication technique for converging IoT technology with a 5G communication system for supporting a higher data transmission rate beyond a 4G system, and a system therefor. The present disclosure may be applied to an intelligent service (for example, a smart home, a smart building, a smart city, a smart car or connected car, health care, digital education, retail business, a security and safety-related service, etc.) on the basis of 5G communication technology and IoT-related technology. A method carried out by a network data analytics function (NWDAF) device, and a device for carrying out same may be provided according to various embodiments of the present disclosure, the method comprising the steps of: acquiring, for a protocol data unit (PDU) session, traffic pattern-related information, traffic type-related information and current time-related information; determining an inactivity timer value for the PDU session on the basis of the traffic pattern-related information, traffic type-related information and current time-related information; and transmitting the inactivity timer value to a session management function (SMF) device.

Methods, apparatus, and systems for providing deterministic network experience to application-level services are disclosed. In one example aspect, a method includes providing a set of interfaces to an application-level service deployed in part on a user device. The set of interfaces is configured to provide a notification to the application-level service regarding a real-time change in network conditions relevant to the application-level service. The method also includes receiving a registration request from the application-level service to register for the notification, estimating the network conditions based on physical layer information, and notifying the registered application-level service of the change in the network conditions based on the estimated network conditions.

Methods, apparatus, and systems for providing deterministic network experience to application-level services are disclosed. In one example aspect, a method includes providing a set of interfaces to an application-level service deployed in part on a user device. The set of interfaces is configured to provide a notification to the application-level service regarding a real-time change in network conditions relevant to the application-level service. The method also includes receiving a registration request from the application-level service to register for the notification, estimating the network conditions based on physical layer information, and notifying the registered application-level service of the change in the network conditions based on the estimated network conditions.

A radio communication apparatus according to an embodiment includes a radio communication unit (1011), a radio information acquisition unit (1013), and a transmission condition setting unit (104). The radio communication unit transmits a radio signal. The radio information acquisition unit continuously acquires radio information containing received signal strength in the radio communication unit. The transmission condition setting unit sets a transmission time slot for transmitting the radio signal in the radio communication unit and an index value of a modulation and error correction coding rate in the radio communication unit in accordance with the radio information.

A radio communication apparatus according to an embodiment includes a radio communication unit (1011), a radio information acquisition unit (1013), and a transmission condition setting unit (104). The radio communication unit transmits a radio signal. The radio information acquisition unit continuously acquires radio information containing received signal strength in the radio communication unit. The transmission condition setting unit sets a transmission time slot for transmitting the radio signal in the radio communication unit and an index value of a modulation and error correction coding rate in the radio communication unit in accordance with the radio information.

A first communication apparatus receives first indication information, used to determine an operating mode and/or operating configuration information of the first communication apparatus in a backhaul network, the first communication apparatus includes a first antenna array. The first antenna array is an electromagnetic metasurface antenna array. The first communication apparatus establishes the backhaul network based on the first indication information. A backhaul network is established by using an electromagnetic metasurface antenna array, to implement a flexible and high-performance D-MIMO transmission solution.

A first communication apparatus receives first indication information, used to determine an operating mode and/or operating configuration information of the first communication apparatus in a backhaul network, the first communication apparatus includes a first antenna array. The first antenna array is an electromagnetic metasurface antenna array. The first communication apparatus establishes the backhaul network based on the first indication information. A backhaul network is established by using an electromagnetic metasurface antenna array, to implement a flexible and high-performance D-MIMO transmission solution.