A method includes simulating, using processing circuitry, one or more sector antenna transmitting at a selected transmission power, each of the one or more sector antenna simulated as being located at a desired physical location. The method also includes determining, based on results of the simulation, a short-term interference and a long-term interference for each of the one or more sector antenna. The method also includes performing, by the processing circuitry and based on a short-term interference threshold and a long-term interference threshold for the one or more sector antenna, one or more of: increasing the selected transmission power for one of the one or more sector antenna, decreasing the selected transmission power for the one of the one or more sector antenna, or maintaining the selected transmission power for the one of the one or more sector antenna.

An information processing device includes: an acquisition unit that acquires measurement information obtained by a plurality of antenna elements included in an antenna device that transmits a radio signal using a first polarized wave and a second polarized wave that is inclined by a predetermined angle with respect to the first polarized wave; and a generation unit that generates control information for controlling directivity of the radio signal based on the measurement information. The measurement information includes: first information based on a measurement result of a first polarized wave transmitted from a first antenna element among the plurality of antenna elements; second information indicating a relative difference between the first polarized wave transmitted from the first antenna element and a second polarized wave transmitted from the first antenna element; and third information indicating a relative difference between a radio signal transmitted from the first antenna element and a radio signal transmitted from a second antenna element different from the first antenna element.

One or more systems and methods for wireless equipment deployment are provided herein. Imagery of locations depicting structures within a list of structures is analyzed to identify features of the structures within the locations. Ranks may be calculated for the structures based upon structure scores and installation scores calculated from the features. In response to a rank for a structure exceeding a threshold, wireless equipment deployment of a communication device may be triggered so that the communication device is controlled to exchange communication signals with devices proximate the structure.

An information processing device (60) includes: an acquisition unit (641) that acquires information regarding each of a plurality of second radio systems that share a radio wave used by a first radio system; a calculation unit (642) that calculates an allocation priority for each of the plurality of second radio systems based on the information acquired by the acquisition unit (641); and an allocation unit (643) that allocates, as an interference amount, a total interference amount allowed by the first radio system to each of the plurality of second radio systems based on the allocation priority calculated by the calculation unit (642).

An ultra-wideband assisted precise positioning system and an ultra-wideband assisted precise positioning method are provided. The method includes: arranging a plurality of device nodes in a target area; configuring a central control device node to communicatively connect to the device nodes; configuring the device nodes to perform a positioning process to obtain measured distances and positioning positions to be corrected; and configuring a central control processor to execute a positioning algorithm. The positioning algorithm includes: obtaining the measured distances and the positioning positions to be corrected; for each of the positioning positions to be corrected, performing a center-of-gravity weighting processing on neighboring points for obtaining initial guess positions; and obtaining the initial guess positions to input to an optimizer and optimize an objective function, and finding corrected positions with relatively smallest errors. The objective function includes empirical weights associated with distance errors of the measured distances.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for providing one or more values from a distribution of values to a neural network trained to generate simulated channel responses corresponding to one or more radio frequency (RF) communication channels; and obtaining an output of the neural network based on processing the one or more values by the neural network, the output indicating a simulated channel response corresponding to at least one communication channel of the one or more RF communication channels.

The present disclosure relates to a skywave large-scale MIMO communication method, model, and system. A skywave communication base station in a short waveband is constructed using a large-scale antenna array, wherein skywave large-scale MIMO communication is carried out between the skywave communication base station and a user terminal in a coverage area by ionospheric reflection. The skywave communication base station determines a spacing of the large-scale antenna array according to a maximum operating frequency, and communicates with the user terminal based on a TDD communication mode, wherein a skywave large-scale MIMO signal is transmitted based on an OFDM modulation mode or a power efficiency improvement modulation mode. The skywave communication base station selects a communication carrier frequency within a short waveband range according to a real-time ionospheric channel characteristic, and adaptively selects an OFDM modulation parameter and a signal frame structure.

Embodiments of systems and methods for simulating a downlink signal representative of a communication signal are provided herein. An example method comprises receiving an input signal; in a first one or more processing blocks in a one or more processors, performing a first operation to determine first one or more simulated effects representative of one or more effects that result from movement of a source of the downlink signal; in a second one or more processing blocks in the one or more processors in parallel with the first one or more processing blocks, performing a second operation to determine second one or more simulated effects representative of the one or more effects that result from movement of the source of the downlink signal; generating a simulated downlink signal by applying the first and second one or more simulated effects to the input signal; and outputting the simulated downlink signal.

Aspects of the subject disclosure may include, for example, network deployment or radio-propagation computation based on a combination of photon mapping and machine learning including supporting near-real-time computation of the radio transmissions for different layouts of antennas and allowing examination of a large variety of antenna locations and layouts, changing configuration details, e.g., tilting antennas or optimally selecting the sector that each antenna covers, and so on. Other embodiments are disclosed.

The technologies described herein are generally directed to facilitate allocating resources to zones for IOT equipment in a fifth generation (5G) network or other next generation networks. An example method discussed herein includes identifying, by carrier allocation equipment, carrier transmission information corresponding to transmission of a first carrier signal configured to support Internet of things equipment. The method can further comprise analyzing, by the carrier allocation equipment, the carrier transmission information to determine coverage information corresponding to a potential for coverage, by the first carrier signal, of an Internet of things equipment support zone corresponding to a geographic area. The method can further include, based on the coverage information, facilitating configuring transmission parameter information, representative of a transmission parameter applicable to the coverage of the Internet of things equipment support zone by the first carrier signal.