A wireless network operating system for communication between a plurality of nodes of a network is provided. The operating system can enable an operator to define a centralized network control problem at a high level, decompose automatically the network control problem into a set of distributed subproblems, each subproblem characterizing a local behavior of a single session or a subset of sessions or a single node or a subset of nodes or a single protocol layer or a subset of protocol layers, to generate in an automated manner a set of solution algorithms, and send the set of solution algorithms to each node for execution at an associated node controller to optimize the parameters of a programmable protocol stack based on local state information at each node. A network device for use at a node in a wireless network, a method of wirelessly communicating between a plurality of nodes in a network, and a method of providing a wireless network operating system are also provided.

A wireless network operating system for communication between a plurality of nodes of a network is provided. The operating system can enable an operator to define a centralized network control problem at a high level, decompose automatically the network control problem into a set of distributed subproblems, each subproblem characterizing a local behavior of a single session or a subset of sessions or a single node or a subset of nodes or a single protocol layer or a subset of protocol layers, to generate in an automated manner a set of solution algorithms, and send the set of solution algorithms to each node for execution at an associated node controller to optimize the parameters of a programmable protocol stack based on local state information at each node. A network device for use at a node in a wireless network, a method of wirelessly communicating between a plurality of nodes in a network, and a method of providing a wireless network operating system are also provided.

Implementations relate to configuring wireless access points in a wireless network. In some implementations, a method includes selecting, from a plurality of wireless access points in a communication network, a configuring subset of wireless access points and a different compensating subset of wireless access points. New settings are applied to the compensating subset of wireless access points to change a physical coverage of wireless communication provided by the compensating subset, thus at least partially compensating for disabled wireless communication of the configuring subset. The method disables wireless communication provided by the configuring subset, and configures the disabled configuring subset of wireless access points.

Implementations relate to configuring wireless access points in a wireless network. In some implementations, a method includes selecting, from a plurality of wireless access points in a communication network, a configuring subset of wireless access points and a different compensating subset of wireless access points. New settings are applied to the compensating subset of wireless access points to change a physical coverage of wireless communication provided by the compensating subset, thus at least partially compensating for disabled wireless communication of the configuring subset. The method disables wireless communication provided by the configuring subset, and configures the disabled configuring subset of wireless access points.

Aspects of the subject disclosure may include, for example, obtaining user input identifying a first user-identified network feature of a training image of a geographical region. The training image and the user-identified feature are provided to a neural network adapted to train itself according to the user-identified features to obtain a first trained result that classifies objects within the image according to the user-identified feature. The training image and the first trained result are displayed, and user-initiated feedback is obtained to determine whether a training requirement has been satisfied. If not satisfied, the user-initiated feedback is provided to the neural network, which retrains itself according to the feedback to obtain a second trained result that identifies an updated machine-recognized feature of the training image. The process is repeated until a training requirement has been satisfied, after which a map is annotated according to the machine-recognized feature. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, obtaining user input identifying a first user-identified network feature of a training image of a geographical region. The training image and the user-identified feature are provided to a neural network adapted to train itself according to the user-identified features to obtain a first trained result that classifies objects within the image according to the user-identified feature. The training image and the first trained result are displayed, and user-initiated feedback is obtained to determine whether a training requirement has been satisfied. If not satisfied, the user-initiated feedback is provided to the neural network, which retrains itself according to the feedback to obtain a second trained result that identifies an updated machine-recognized feature of the training image. The process is repeated until a training requirement has been satisfied, after which a map is annotated according to the machine-recognized feature. Other embodiments are disclosed.

Various embodiments are described that relate to a visualization. A visualization can be produced that relates to a coverage area for an element in the network. A user of this element can read the visualization and make decisions in view of the coverage area. In one instance, the user can read the visualization and select a route of travel such that a likelihood of coverage being lost during travel is relatively small.

Generally, this disclosure provides devices, systems and methods for improved coverage estimation of wireless cellular networks through User Equipment (UE) idle mode measurement and reporting. A UE may include a signal measurement module to measure a reference signal received power (RSRP) of a serving cell of the UE, the

UE in an idle mode, and to determine if the RSRP is below a threshold value. The UE may also include a cell search and selection module to search for a neighbor cell in response to determining that the RSRP is below the threshold value, and to camp on the neighbor cell if the search succeeds. The UE may further include a data logging module to log information associated with the neighbor cell, if the neighbor cell search succeeds and to log information associated with the serving cell, if the neighbor cell search fails.

Generally, this disclosure provides devices, systems and methods for improved coverage estimation of wireless cellular networks through User Equipment (UE) idle mode measurement and reporting. A UE may include a signal measurement module to measure a reference signal received power (RSRP) of a serving cell of the UE, the

UE in an idle mode, and to determine if the RSRP is below a threshold value. The UE may also include a cell search and selection module to search for a neighbor cell in response to determining that the RSRP is below the threshold value, and to camp on the neighbor cell if the search succeeds. The UE may further include a data logging module to log information associated with the neighbor cell, if the neighbor cell search succeeds and to log information associated with the serving cell, if the neighbor cell search fails.

Information about a signal device is received at a first location in a first physical environment. The signal device broadcasts a signal to a computing device. A first indication is received from the computing device. The first indication includes a first strength of signal of the signal device received by the computing device. Whether the first strength of signal is above a threshold is determined. A second location is determined. The second location is where the computing device is located when the first strength of signal is above the threshold. The second location is within the first physical environment. A first visual representation of the first physical environment is displayed. The first visual representation includes one or more of the following: the signal device at the first location, at least one physical item found in the physical environment, a broadcasting power of the signal device, and the second location.