Systems and methods are provided for optimizing resource consumption by bringing intelligence to the key allocation process for fast roaming. Specifically, embodiments of the disclosed technology use machine learning to predict which AP a wireless client device will migrate to next. In some embodiments, machine learning may also be used to select a subset of top neighbors from a neighborhood list. Thus, instead of allocating keys for each of the APs on the neighborhood list, key allocation may be limited to the predicted next AP, and the subset of top neighbors. In some embodiments, a reinforcement learning model may be used to dynamically adjust the size of the subset in order to optimize resources while satisfying variable client demand.

A method and system for handling roaming in train-to-trackside wireless networks including: receiving, by an access point (AP.sub.i) currently associated with a train access terminal installed on-board a train, radio measurements of signals received by the train access terminal from access points of the train-to-trackside wireless network; determining a next access point (AP.sub.next) providing the highest signal quality (maxSQ); evaluating compliance with roaming criteria including: the next access point (AP.sub.next) is included in a list of candidate access points (N.sub.i); the time elapsed since the last roaming exceeds a minimum permanency time (t.sub.p); the highest signal quality (maxSQ) exceeds the signal quality (SQ(i)) of the access point (AP.sub.i) by a roaming margin; if the roaming criteria are met, sending a roaming command instructing the train access terminal to roam to the next access point (AP.sub.next).

Provided is a process including: advertising a plurality of values corresponding to computing components to peer nodes of a peer-to-peer network; storing the plurality of values in a tamper-evident, distributed ledger; determining a target data center in the distributed computing environment, wherein the target data center performs computations based on data sent from a mobile computing device, and wherein the target data center executes a peer node of the peer-to-peer network; determining a network path that is linked to the target data center based on a distance to the target data center; and transferring a packet from the target data center, wherein the packet traverses the network path and comprises one or more computation results from the target data center.

Provided is a process including: advertising a plurality of values corresponding to computing components to peer nodes of a peer-to-peer network; storing the plurality of values in a tamper-evident, distributed ledger; determining a target data center in the distributed computing environment, wherein the target data center performs computations based on data sent from a mobile computing device, and wherein the target data center executes a peer node of the peer-to-peer network; determining a network path that is linked to the target data center based on a distance to the target data center; and transferring a packet from the target data center, wherein the packet traverses the network path and comprises one or more computation results from the target data center.

Provided is a methods and apparatus for accessing New Radio (NR) services in a multi-RAT dual connectivity (DC). A method includes: selecting an anchor band cell as a primary cell for a User Equipment (UE) to access NR services in an Evolved UMTS Terrestrial Radio Access Network (E-UTRAN)-NR dual connectivity (ENDC). The method also includes prioritizing anchor band cells for the UE to perform cell search or cell reselection in the ENDC scenario. The method further includes selecting an NR DC band cell as the primary cell for the UE to access NR DC services in an NR DC. The method further includes prioritizing the NR DC band cells for the UE to perform cell search or cell reselection in the NR DC scenario, when the UE is an RRC idle state.

Aspects of the subject disclosure may include, for example, detecting a transit speed of a device, resulting in a detected transit speed; responsive to the detected transit speed satisfying a first threshold, including information in a message related to a handover request between a first access point of a network and a second access point of the network, the information being indicative of an amount of time that the device has been in a Discontinuous Reception (DRX) mode; and sending, to the first access point with which the device communicates and is transitioning away from, the message including the information that is indicative of the amount of time that the device has been in the DRX mode. Other embodiments are disclosed.

In one embodiment, a mobile system scans wireless channels for any upcoming access points using a dedicated monitor radio of the mobile system. The mobile system identifies a particular wireless channel in use by an upcoming access point. The mobile system notifies a second radio of the mobile system of the particular wireless channel. The mobile system performs a handoff between a current access point and the upcoming access point in part by switching the second radio of the mobile system to the particular wireless channel of the upcoming access point.

Lightweight inter-satellite handover device and method for a mega LEO satellite network are provided. An attribute extraction sub-module extracts attributes of handover users in a user information storage unit. Based on the attributes of the handover users, a cluster sub-module clusters the handover users into user clusters. A decision set generator sub-module generates target satellite sets of the user clusters, determines each target satellite of the target satellite sets of the user clusters of each LEO satellite whether belongs to LEO satellites in a management domain of a handover decision point of managing the LEO satellite based on management domain information in a LEO satellite information storage unit, and if YES, performing inter-satellite handover by a centralized decision unit, otherwise performing inter-satellite handover by a distributed decision unit. Therefore, lightweight inter-satellite handover is achieved, cost of handover decision is reduced, and resource utilization of LEO satellite is increased.

A data transmission method includes: determining link quality of a first link between an unmanned aerial vehicle and an unmanned aerial vehicle controller, link quality of a second link between the unmanned aerial vehicle and a base station, and link quality of a third link between the base station and the unmanned aerial vehicle controller; and determining one or more data transmission links for data to be transmitted, based on the link quality of the first link, the link quality of the second link, and the link quality of the third link.

A cell reselection method includes generating, by a radio access network device, cell reselection information, wherein the cell reselection information includes an identifier of at least one carrier frequency and an identifier of a network slice supported by each of the at least one carrier frequency. The cell reselection method further includes sending, by the radio access network device, the cell reselection information to a terminal device, wherein the cell reselection information is useable by the terminal device for cell reselection.