Abstract: A method for request scheduling in an unmanned aerial vehicle-assisted mobile edge computing network: determining multiple feasible UAV deployment points based on obstruction information in a target area; randomly selecting U feasible UAV deployment points from the multiple feasible UAV deployment points as UAV deployment points; dividing each UAV into multiple virtual UAVs; allocating user requests in a central queue of a UAV-assisted MEC to the virtual UAVs; using a round-robin policy to schedule the user requests allocated to each virtual UAV; after a specified time period t, if a network pressure mitigation condition isn't met, inputting historical user request data of each feasible UAV deployment point into a trained MT-LSTM neural network model, obtaining a to-be-processed data volume of each feasible UAV deployment point in a next specified time period t; re-determining UAV deployment points; redeploying UAVs carrying small cell base stations based on the new UAV deployment points.

Abstract: NAS signaling between a UE and a server is enhanced by performing one of: sending a registration complete message to the server using existing NAS signaling and without starting a release timer in response to receiving an RC_ID deletion IE in a registration accept message; and not sending the registration complete message to the server in response to receiving the RC_ID deletion IE in the registration accept message. A registration procedure is reinstated based on a stored RC_ID.

Abstract: Disclosed herein is a terrestrial to air communications network that can be configured to include a spectrum management system that deterministically allocates spectrum to aircraft for use during flight. In one or more examples, a user transmits a flight plan to a spectrum management system that is configured to manage the RF spectrum in a given air space. In one or more examples, and based on the received flight plan, the spectrum management system can allocate an RF spectrum frequency “slot” (i.e., timeslot, subchannel, or resource block) for the aircraft to use during its intended flight. The spectrum management system can take into account available spectrum as well as the predicted network traffic and their spectrum allocations to determine an RF spectrum slot that can provide a stable and continuous communications channel to the aircraft during its flight.

Abstract: Disclosed herein are techniques, devices, and systems for a mobile device to keep track of public land mobile networks (PLMNs) codes from a list(s) of equivalent PLMNs that the mobile device received at a time of performing a past registration procedure(s). For example, memory of the mobile device may store a PLMN code(s) from a list of equivalent PLMNs that the mobile device received from a mobility management entity (MME) or an access and mobility function (AMF) node. During a subsequent registration, the mobile device may send a message to another MME or another AMF node, and may receive a message, such as an ATTACH ACCEPT message or a REGISTRATION ACCEPT message, from the other MME or the other AMF node. In response to receiving the message, the mobile device can maintain the stored PLMN code(s) in the memory.

Abstract: An information handling system of a management and orchestration module (MANO) may comprise a processor configured to determine user equipment device (UE) connectivity requirements from UE connectivity metrics received from a first UE, for a plurality of UEs managed by the MANO, enterprise profile requirements for the UEs, and detected network conditions of radio access networks (RANs) and cores of an enterprise mobile network. The MANO may also generate an optimal wireless link distribution across the UEs based on the UE connectivity requirements, enterprise profile requirements, and network conditions of the RANs and cores, and determine an antenna configuration adjustment for the first UE, instructing selection of a wireless link via an antenna, selected to meet the UE connectivity requirement relative to wireless links assigned to the other UEs according to the optimal wireless link distribution. A network interface device may transmit the antenna configuration adjustment to the first UE.

Abstract: Embodiments of a radio-frequency (RF) repeater configured for semantic-less retransmissions are described herein. The RF repeater performs physical (PHY) layer processing to identify one or more PHY layer features of a received RF signal. The RF repeater may determine whether or not to retransmit the received RF signal based on the one or more PHY features. The determination to retransmit the received RF signal may be based solely on PHY parameters enabling semantic-less retransmissions.

Abstract: A method, device, and apparatus for optimizing unbalanced loads covered by a same network and a storage medium are provided. The method includes: determining whether loads of cells covered by a same network are balanced; determining, if the loads of the cells are unbalanced, a cell with a highest network load rate and a cell with a lowest network load rate in the cells; determining a target offset parameter corresponding to a predetermined index according to a timing advance and the number of sampling points of each of the cell with the highest network load rate and the cell with the lowest network load rate; and adjusting a load of the cell with the highest network load rate and a load of the cell with the lowest network load rate based on the target offset parameter.

Abstract: A system may provide for the design and/or modification of network slices associated with a wireless network. The wireless network may include different slices that are associated different sets of service parameters. Slices may include radio access networks (“RANs”), core networks, or other types of networks, which may include respective sets of network functions (“NFs”), which may perform specific functions with respect to a given RAN and/or core network. Different slices, RANs, core networks, and/or NFs may be associated with particular policies and/or tags which may be specified by one or more users associated with a first access level. One or more users associated with a second access level may configure portions of the wireless network, and the policies and/or tags associated with particular slices, RANs, core networks, or NFs may be automatically implemented by an orchestration system that configures the wireless network based on the provided configuration information.

Abstract: Disclosed are various embodiments for interfaces for creating radio-based private networks. In one embodiment, a request is received via an interface to create a radio-based private network for a customer. The request indicates a quantity of wireless devices that will connect to the radio-based private network. A quantity of radio units to serve the radio-based private network is determined based at least in part on the quantity of wireless devices. The radio units are preconfigured to implement a radio access network for the radio-based private network. A shipment is initiated to the customer of the radio units that have been preconfigured. Resources in a cloud provider network are provisioned to function as a core network for the radio-based private network.

Abstract: Solutions for providing a data traffic session with proxy-call session control function (P-CSCF) restoration include: receiving an indication, by an application server (AS), that a user equipment (UE) registered with a first proxy node; receiving, by the AS, from a call session control function, a first indication that the first proxy node is unavailable; based on at least receiving the first indication that the first proxy node is unavailable, transmitting, by the AS, to a subscriber information node, a first message triggering proxy node restoration (e.g., over an N71 interface); receiving an indication, by the AS, that the UE is registered with a second proxy node different than the first proxy node; and based on at least receiving a session initiation message, establishing the data traffic session for the UE with the second proxy node.

Abstract: The present invention may include a computing device receives a location data from a client device, wherein the client device comprises one or more location sensors to generate the location data. The computing device determines an altitude of the client device above a floor from the location data. The computing device determines an age and a height of a user using a trained neural network from the client device and the location data and assigns a wireless network channel to the client device based on the age and the height of the user.

Abstract: A method for broadcasting configuration information of a synchronizing signal block includes: the maximum number of synchronizing signal blocks that can be transmitted is determined; the number of bits of configuration information to be generated is determined according to a relationship between the maximum number and a first preset value, and the configuration information comprising said number of bits is generated, in which the configuration information is configured to indicate a synchronizing signal block required to be transmitted in the maximum number of synchronizing signal blocks, and the first preset value is positively correlated with the number of bits that can be transmitted by a physical sidelink broadcast channel; and the configuration information is broadcasted by means of the physical sidelink broadcast channel.

Abstract: A wireless base station setting position calculation method includes a step S1 for assuming the setting area to be a rectangle, receiving an input of longitudinal and lateral lengths of a setting area and the number of wireless base stations to be set “s”, and determining one or more candidates of a number of divisions “d” of the setting area according to the number of wireless base stations “s”, a step S2 for representing the number of divisions “d” in a division ratio x:y and selecting, for each number of divisions “d”, according to the longitudinal and lateral lengths of the setting area, a division ratio at which diagonal line lengths of divided areas are minimized, a step S3 for performing, for each number of divisions “d”, adjustment of a division pattern until a difference m between the number of divisions “d” and the number of wireless base stations “s” decreases to 0, a step S4 for calculating, for each number of divisions “d”, a sum of the diagonal line lengths of the divided areas and selecting the

Abstract: A placement of a set of devices in an environment is evaluated. At least a plurality of neighboring locations is selected for a target location in the environment. A probability of an estimated location conditioned on the target location is calculated for each of at least the plurality of neighboring locations as the estimated location by using an observation model for obtaining a set of observation values given a location under the placement. An evaluation metric is computed by using the probability calculated for each of at least the plurality of neighboring locations.