Disclosed herein is a system comprising a set of wireless communication nodes that are configured to operate as part of a wireless mesh network. Each respective wireless communication node may be directly coupled to at least one other wireless communication node via a respective short-hop wireless link, and at least a first pair of wireless nodes may be both (a) indirectly coupled to one another via a first communication path that comprises one or more intermediary wireless communication nodes and two or more short-hop wireless links and (b) directly coupled to one another via a first long-hop wireless link that provides a second communication path between the first pair of wireless communication nodes having a lesser number of hops than the first communication path. A fiber access point may be directly coupled to a first wireless communication node of the set of wireless communication nodes.

A server, method, and computer-readable storage medium for coverage prediction in wireless networks. The server includes a memory storing instructions and a processor operably connected to the memory, which is configured to execute the instructions to cause the server to identify a region of interest (RoI) for the coverage prediction; determine, using a neural network, a set of values for a system performance metric for areas in the RoI, respectively; and generate the coverage prediction for the RoI which associates the areas in the RoI with a determined value in the set of values. The set of values for the system performance metric is determined based on a plurality of data samples for a set of RoIs which include at least one of building height, terrain height, foliage height, clutter data that classifies land cover, line-of-sight indication data, antenna height, and ground truth data for the system performance metric.

A server, method, and computer-readable storage medium for coverage prediction in wireless networks. The server includes a memory storing instructions and a processor operably connected to the memory, which is configured to execute the instructions to cause the server to identify a region of interest (RoI) for the coverage prediction; determine, using a neural network, a set of values for a system performance metric for areas in the RoI, respectively; and generate the coverage prediction for the RoI which associates the areas in the RoI with a determined value in the set of values. The set of values for the system performance metric is determined based on a plurality of data samples for a set of RoIs which include at least one of building height, terrain height, foliage height, clutter data that classifies land cover, line-of-sight indication data, antenna height, and ground truth data for the system performance metric.

The present disclosure describes a method, an apparatus, and a computer readable medium for a multilayer transmission in a wireless network. For example, the method may include generating a group of binary data bits for resources of each layer of a plurality of layers, mapping the group of binary data bits of each layer of the plurality of layers to respective code words in a signal constellation, combining the code words, and transmitting the combined code word to receiver in the wireless network. As such, the multilayer transmission in a wireless network is achieved.

The present disclosure describes a method, an apparatus, and a computer readable medium for a multilayer transmission in a wireless network. For example, the method may include generating a group of binary data bits for resources of each layer of a plurality of layers, mapping the group of binary data bits of each layer of the plurality of layers to respective code words in a signal constellation, combining the code words, and transmitting the combined code word to receiver in the wireless network. As such, the multilayer transmission in a wireless network is achieved.

Described herein are methods and systems for dynamically optimizing a Flying Ad-Hoc Network (“FANET”). A server that manages the FANET can receive information relating to the network activity of user devices connected to the FANET. Examples of the type of information included can include the user devices' locations, network connection quality, and network traffic volume dedicated to a Unified Endpoint Management (“UEM”) system of an enterprise. The server can analyze the network activity information based on a set of rules to prioritize the user devices connected to the FANET. The server can instruct unmanned aerial vehicles (“UAVs”) in the FANET to reposition themselves to provide the best connection for higher priority user devices.

Described herein are methods and systems for dynamically optimizing a Flying Ad-Hoc Network (“FANET”). A server that manages the FANET can receive information relating to the network activity of user devices connected to the FANET. Examples of the type of information included can include the user devices' locations, network connection quality, and network traffic volume dedicated to a Unified Endpoint Management (“UEM”) system of an enterprise. The server can analyze the network activity information based on a set of rules to prioritize the user devices connected to the FANET. The server can instruct unmanned aerial vehicles (“UAVs”) in the FANET to reposition themselves to provide the best connection for higher priority user devices.

A method includes selecting a study group including a first network element and a second network element of a network, selecting a control group including a third network element, identifying times at which a change is deployed at the first network element and the second network element, time-aligning the change at the first element and the change at the second network element to a common time, performing a statistical analysis that compares the performance of the network before the common time to the performance of the network after the common time, detecting an impact of the change on a performance of the network based on the statistical analysis, and initiating a remedial action when the impact comprises a degradation to the performance.

A method includes selecting a study group including a first network element and a second network element of a network, selecting a control group including a third network element, identifying times at which a change is deployed at the first network element and the second network element, time-aligning the change at the first element and the change at the second network element to a common time, performing a statistical analysis that compares the performance of the network before the common time to the performance of the network after the common time, detecting an impact of the change on a performance of the network based on the statistical analysis, and initiating a remedial action when the impact comprises a degradation to the performance.

A system and method are provided for producing radio-frequency (RF) coverage maps for networks of ground stations. The coverage maps are produced from ground station log files that are generated for a particular network of RF radio stations, including an ARINC VHF Data Link Mode 2 (VDLM2) Network. A coverage map regarding interactive communications between aircraft and various ground stations at a particular location therefrom is generated based on actual available operating data including geographic locating of an aircraft, which may be according to Global Positioning Satellite (GPS) system data or other aircraft geolocating data, and Received Signal Strength Indication (RSSI) measurements for the data exchange with the aircraft. Collected and/or recovered actual available operating data may be massaged to determine an actual coverage map, which may map the RSSI measurements to associated aircraft geographic locations to provide indications of relative signal strengths at various points around the particular location.