H04W16/18

Temporospatial, software-defined maritime network using high-altitude platforms

A maritime network provides network coverage for nautical or aerospace vehicles traveling over the sea. Generating the network configuration for the maritime network includes receiving client information for client devices in range of a given node of the maritime network for a period of time that the client devices are traveling asea, as well as location information for the period of time from a plurality of nodes in the network including the given node. Based on the client information and the location information, a network configuration is determined to include a plurality of links to be formed for routing paths through the maritime network. The routing paths are configured to transmit data related to the client devices, and the plurality of links includes a link between the given node and another node in the network that is within a maximum distance from the given node.

Rapid evaluation of inequality expressions for electromagnetic propagation
11686755 · 2023-06-27 · ·

A method for rapidly evaluating inequality expressions for electromagnetic propagation includes obtaining a threshold loss value establishing a maximum electromagnetic (EM) path loss between a first geographical point and a second geographical point. The method also includes, for each of a plurality of EM paths between the first geographical point and the second geographical point, obtaining a minimum EM loss value for the corresponding EM path and a maximum EM loss value for the corresponding EM path and determining whether the maximum EM loss value for the corresponding EM path satisfies the threshold loss value. Additionally, the method includes, when the maximum EM loss value for the corresponding EM path satisfies the threshold loss value, determining that an actual EM path loss value for the corresponding EM path between the first geographical point and the second geographical point satisfies the threshold loss value.

UNMANNED AERIAL VEHICLES LANDING ZONES AT CELL SITES
20170366980 · 2017-12-21 ·

A cell site with a landing zone for an Unmanned Aerial Vehicle (UAV) includes a cell tower including cell site components for wireless service; a cabinet or shelter with equipment for the wireless service; and one or more landing zones defined at the cell site for the UAV with associated structure for each of the one or more landing zones, equipment for one or more purposes associated with the UAV, and access privileges to the cell site for personnel associated with the UAV, wherein the one or more landing zones are located on one or more of the cell tower, the cabinet or shelter, and surrounding geography around the cell tower.

UNMANNED AERIAL VEHICLES LANDING ZONES AT CELL SITES
20170366980 · 2017-12-21 ·

A cell site with a landing zone for an Unmanned Aerial Vehicle (UAV) includes a cell tower including cell site components for wireless service; a cabinet or shelter with equipment for the wireless service; and one or more landing zones defined at the cell site for the UAV with associated structure for each of the one or more landing zones, equipment for one or more purposes associated with the UAV, and access privileges to the cell site for personnel associated with the UAV, wherein the one or more landing zones are located on one or more of the cell tower, the cabinet or shelter, and surrounding geography around the cell tower.

GEOGRAPHICAL RADIO AVAILABILITY AS A SERVICE
20230199626 · 2023-06-22 ·

Some methods enable a computer to receive location information from a device and determine a coverage region for the device. The device's coverage region is the area within range of a wireless signal coming from the device. The computer can determine that part of the device's coverage region covers part of a specified region and instruct the device to provide wireless access to a network associated with the first region.

GEOGRAPHICAL RADIO AVAILABILITY AS A SERVICE
20230199626 · 2023-06-22 ·

Some methods enable a computer to receive location information from a device and determine a coverage region for the device. The device's coverage region is the area within range of a wireless signal coming from the device. The computer can determine that part of the device's coverage region covers part of a specified region and instruct the device to provide wireless access to a network associated with the first region.

Enhanced dedicated-channel reporting for UMTS
09848367 · 2017-12-19 · ·

A method for a mobile communication system, the mobile communication system defining a dedicated channel (DCH) active set and an enhanced-dedicated channel (E-DCH) active set, the method including performing a power measurement of a pilot signal from a cell that is not included in the E-DCH active set but included in the DCH active set, and performing a power measurement of a pilot signal from a cell that is included in the E-DCH active set.

Radio communication system, high-power base station, low-power base station, and communication control method

A radio communication system 1 includes a pico-cell base station PeNB installed in a communication area of a macro-cell base station MeNB, having lower transmission power than the macro-cell base station MeNB, and expanded in its coverage. The macro-cell base station MeNB determines a degree of expanding the coverage of the pico-cell base station PeNB, according to an amount of usable PDSCH resources of the macro-cell base station MeNB.

Radio communication system, high-power base station, low-power base station, and communication control method

A radio communication system 1 includes a pico-cell base station PeNB installed in a communication area of a macro-cell base station MeNB, having lower transmission power than the macro-cell base station MeNB, and expanded in its coverage. The macro-cell base station MeNB determines a degree of expanding the coverage of the pico-cell base station PeNB, according to an amount of usable PDSCH resources of the macro-cell base station MeNB.

Dynamic Labeling For Machine Learning Models for Use in Dynamic Radio Environments of a Communications Network

Methods and nodes in a communications network for using a machine learning model that has been trained using training data from a first radio environment, in a second radio environment, wherein the machine learning model takes a first set of features as input and outputs a label based on a first labelling scheme, the first labelling scheme having been determined for the first radio environment. A method comprises obtaining (402) a dataset in the second radio environment comprising a plurality of data points comprising values of the first set of features, labelling (404) each data point in the dataset using the first labelling scheme, and determining (406) from the labelled dataset whether the first labelling scheme is suitable for use in the second radio environment. Responsive to determining that the first labelling scheme is unsuitable for use in the second radio environment, the method further comprises determining (408) a second labelling scheme for the machine learning model, using an unsupervised labelling method.