A computing device includes: a wireless communication interface; and a processor configured to: establish a connection with a wireless network; while a network-layer status of the connection is active, monitor attributes of the connection at the wireless communication interface, the attributes including (i) a number of uplink packets transmitted since a most recent downlink packet was received, and (ii) a time period elapsed since the most recent downlink packet was received; determine that the attributes meet recovery criteria indicative of a network-layer interruption in the wireless network; in response to the determination, control the wireless communication interface to initiate a recovery action to resolve the network-layer interruption.

A computing device includes: a wireless communication interface; and a processor configured to: establish a connection with a wireless network; while a network-layer status of the connection is active, monitor attributes of the connection at the wireless communication interface, the attributes including (i) a number of uplink packets transmitted since a most recent downlink packet was received, and (ii) a time period elapsed since the most recent downlink packet was received; determine that the attributes meet recovery criteria indicative of a network-layer interruption in the wireless network; in response to the determination, control the wireless communication interface to initiate a recovery action to resolve the network-layer interruption.

A method for predicting a structure of an indoor space using radio propagation channel analysis through deep-learning is disclosed. Channel data of radio signals are collected for various indoor spaces, and radio channel parameter data such as PDP, AoA, and AoD are extracted therefrom. A large amount of propagation channel parameter data is input to an artificial neural network together with vertex coordinate data of the corresponding indoor space and deep-learning is performed in advance. The propagation channel parameter data are extracted from the indoor space to be predicted, the best matching indoor space is detected based on the trained artificial neural network. The best matching indoor space is predicted as the structure of the indoor space.

A method for dispatching radio coverage drones to a geographical area of a failing node in a radio network, wherein the radio coverages drones are configured to re-establish operability of the failing node is disclosed. The method comprises steps being performed by a network node of generating (102) a radio coverage map, wherein the generated radio coverage map covers the geographical area of the failing node and geographical areas of adjacent nodes, identifies at least one mobile communication device having radio coverage from at least one of the adjacent nodes, and defines a size of the geographical area of the failing node, dynamically calibrating (103) the defined size of the geographical area of the failing node of the dynamically generated radio coverage map by: calculating (103a) a first distance between the identified mobile communication device and a selected one of the adjacent nodes, wherein the identified mobile communication device has coverage from the selected adjacent node while being geographically closer to the failing node than to the selected adjacent node, deducing (103b) a second distance between the failing node and the selected adjacent node, determining (103d) the actual size of the geographical area of the failing node based on the second and the first distance, and determining (104) a number of radio coverage drones to be dispatched to the geographical area of the failing node, wherein the number of radio coverage drones is based on to the actual size of the geographical area of the failing node. Corresponding computer program product, arrangement, network node, and system are also disclosed.

A method for dispatching radio coverage drones to a geographical area of a failing node in a radio network, wherein the radio coverages drones are configured to re-establish operability of the failing node is disclosed. The method comprises steps being performed by a network node of generating (102) a radio coverage map, wherein the generated radio coverage map covers the geographical area of the failing node and geographical areas of adjacent nodes, identifies at least one mobile communication device having radio coverage from at least one of the adjacent nodes, and defines a size of the geographical area of the failing node, dynamically calibrating (103) the defined size of the geographical area of the failing node of the dynamically generated radio coverage map by: calculating (103a) a first distance between the identified mobile communication device and a selected one of the adjacent nodes, wherein the identified mobile communication device has coverage from the selected adjacent node while being geographically closer to the failing node than to the selected adjacent node, deducing (103b) a second distance between the failing node and the selected adjacent node, determining (103d) the actual size of the geographical area of the failing node based on the second and the first distance, and determining (104) a number of radio coverage drones to be dispatched to the geographical area of the failing node, wherein the number of radio coverage drones is based on to the actual size of the geographical area of the failing node. Corresponding computer program product, arrangement, network node, and system are also disclosed.

A UE transmits a PDU session establishment request message including an S-NSSAI and a PDU session ID, and receives a PDU session establishment accept message including the S-NSSAI, the PDU session ID, a first cause value, a first back-off timer value, a first Session-AMBR IE, and a second Session-AMBR IE. The UE establishes a PDU session corresponding to the S-NSSAI, configures a back-off timer corresponding to the S-NSSAI to the first back-off timer value, and applies a data rate indicated by the second Session-AMBR IE to the PDU session while the back-off timer is running. In a case that the UE receives a PDU session modification command including the PDU session ID, a second cause value, a second back-off timer value, and a third Session-AMBR IE before expiration of the back-off timer, the UE, in a case that the second back-off timer value indicates other than 0, updates the back-off timer to the second back-off timer value, applies the data rate indicated by the third Session-AMBR IE to the PDU session, and updates, after expiration of the back-off timer, the data rate applied to the PDU session to the data rate indicated by the first Session-AMBR IE. This allows for provision of a communication unit for implementing a function related to management of a maximum number of UEs and/or a maximum number of PDU sessions connected for each network slice in a 5GS.

A UE transmits a PDU session establishment request message including an S-NSSAI and a PDU session ID, and receives a PDU session establishment accept message including the S-NSSAI, the PDU session ID, a first cause value, a first back-off timer value, a first Session-AMBR IE, and a second Session-AMBR IE. The UE establishes a PDU session corresponding to the S-NSSAI, configures a back-off timer corresponding to the S-NSSAI to the first back-off timer value, and applies a data rate indicated by the second Session-AMBR IE to the PDU session while the back-off timer is running. In a case that the UE receives a PDU session modification command including the PDU session ID, a second cause value, a second back-off timer value, and a third Session-AMBR IE before expiration of the back-off timer, the UE, in a case that the second back-off timer value indicates other than 0, updates the back-off timer to the second back-off timer value, applies the data rate indicated by the third Session-AMBR IE to the PDU session, and updates, after expiration of the back-off timer, the data rate applied to the PDU session to the data rate indicated by the first Session-AMBR IE. This allows for provision of a communication unit for implementing a function related to management of a maximum number of UEs and/or a maximum number of PDU sessions connected for each network slice in a 5GS.

Provided are an electronic device and a method for wireless communication, and a computer-readable storage medium. The electronic device comprises: a processing circuit configured to: determine that a physical layer problem occurs during transmission by a user equipment which uses a pre-configured resource in a pre-configured resource pool to execute the transmission; and determine, according to a transmission quality requirement of a data packet to be sent, the length of time during which the user equipment can continue using the pre-configured resource.

Techniques are provided for reacting to a notification of a timing source outage in a network node. An example method for reacting to an indication of a timing source outage includes receiving the indication of the timing source outage associated with a first node, and deactivating at least one transmission from the first node.

Techniques are provided for reacting to a notification of a timing source outage in a network node. An example method for reacting to an indication of a timing source outage includes receiving the indication of the timing source outage associated with a first node, and deactivating at least one transmission from the first node.