A GSM satellite communication system is in communication with a first satellite having a first field of view including a first plurality of cells in which a plurality of active User Equipment (UEs) are located. The plurality of active UEs are in direct communication with the first satellite. The satellite communication system includes a first feeder link and a first tracking antenna configured to communicate with the plurality of active UEs via the first satellite directly serving the first plurality of cells; a first processing device configured to communicate with the plurality of active UEs; and a second processing device configured to normalize delay for a plurality of beam centers of the first plurality of cells, and provide the normalized delay to the first processing device.

A GSM satellite communication system is in communication with a first satellite having a first field of view including a first plurality of cells in which a plurality of active User Equipment (UEs) are located. The plurality of active UEs are in direct communication with the first satellite. The satellite communication system includes a first feeder link and a first tracking antenna configured to communicate with the plurality of active UEs via the first satellite directly serving the first plurality of cells; a first processing device configured to communicate with the plurality of active UEs; and a second processing device configured to normalize delay for a plurality of beam centers of the first plurality of cells, and provide the normalized delay to the first processing device.

Automatic adjustment of the transmission power, of 5G and 6G wireless messages, is necessary for efficient energy utilization and minimizing background generation, especially in high-density communication environments. However, the power level needed for adequate reception is a complex compromise among competing factors related to network performance, message features, and constantly changing noise/interference backgrounds. Disclosed are artificial intelligence systems and methods configured to determine an appropriate power level for communications. The AI model is trained to account for a wide range of conditions in real-time. For field use, an algorithm derived from the AI model, may be simplified and reduced in size to be appropriate for mobile user devices. The base station may prepare a map of signal attenuation factors, noting especially the “dead zones” of poor reception, and increase the transmission power whenever a mobile user device enters such a location. Many other aspects are disclosed.

Automatic adjustment of the transmission power, of 5G and 6G wireless messages, is necessary for efficient energy utilization and minimizing background generation, especially in high-density communication environments. However, the power level needed for adequate reception is a complex compromise among competing factors related to network performance, message features, and constantly changing noise/interference backgrounds. Disclosed are artificial intelligence systems and methods configured to determine an appropriate power level for communications. The AI model is trained to account for a wide range of conditions in real-time. For field use, an algorithm derived from the AI model, may be simplified and reduced in size to be appropriate for mobile user devices. The base station may prepare a map of signal attenuation factors, noting especially the “dead zones” of poor reception, and increase the transmission power whenever a mobile user device enters such a location. Many other aspects are disclosed.

An apparatus and method are provided for performing a handover analysis. The apparatus comprises base station location identifying circuitry to obtain base station location information for a plurality of base stations that provide a wireless network for communication with a moving vehicle. In addition, moving vehicle tracking circuitry is provided to obtain position and velocity information for the moving vehicle. Handover metrics computation circuitry is then used to generate at least one handover metric computed from the position and velocity information for the moving vehicle and the base station location information, for use in determining a target base station in said plurality to be used when performing a handover procedure to transition communication with the moving vehicle from the current base station in said plurality to the target base station. By such an approach, this enables a variety of handover metrics to be generated that take into account the deployment of the wireless network, which can be useful in systems such as Air to Ground (ATG) systems where the moving vehicles have a relatively high velocity, and the base stations may be relatively far apart. Such an approach can enhance the algorithms used to evaluate the decision to trigger handover from one base station to another base station.

An apparatus and method are provided for performing a handover analysis. The apparatus comprises base station location identifying circuitry to obtain base station location information for a plurality of base stations that provide a wireless network for communication with a moving vehicle. In addition, moving vehicle tracking circuitry is provided to obtain position and velocity information for the moving vehicle. Handover metrics computation circuitry is then used to generate at least one handover metric computed from the position and velocity information for the moving vehicle and the base station location information, for use in determining a target base station in said plurality to be used when performing a handover procedure to transition communication with the moving vehicle from the current base station in said plurality to the target base station. By such an approach, this enables a variety of handover metrics to be generated that take into account the deployment of the wireless network, which can be useful in systems such as Air to Ground (ATG) systems where the moving vehicles have a relatively high velocity, and the base stations may be relatively far apart. Such an approach can enhance the algorithms used to evaluate the decision to trigger handover from one base station to another base station.

Automatic adjustment of the transmission power, of 5G and 6G wireless messages, is necessary for efficient energy utilization and minimizing background generation, especially in high-density communication environments. However, the power level needed for adequate reception is a complex compromise among competing factors related to network performance, message features, and constantly changing noise/interference backgrounds. Disclosed are artificial intelligence systems and methods configured to determine an appropriate power level for communications. The AI model is trained to account for a wide range of conditions in real-time. For field use, an algorithm derived from the AI model, may be simplified and reduced in size to be appropriate for mobile user devices. The base station may prepare a map of signal attenuation factors, noting especially the “dead zones” of poor reception, and increase the transmission power whenever a mobile user device enters such a location. Many other aspects are disclosed.

Automatic adjustment of the transmission power, of 5G and 6G wireless messages, is necessary for efficient energy utilization and minimizing background generation, especially in high-density communication environments. However, the power level needed for adequate reception is a complex compromise among competing factors related to network performance, message features, and constantly changing noise/interference backgrounds. Disclosed are artificial intelligence systems and methods configured to determine an appropriate power level for communications. The AI model is trained to account for a wide range of conditions in real-time. For field use, an algorithm derived from the AI model, may be simplified and reduced in size to be appropriate for mobile user devices. The base station may prepare a map of signal attenuation factors, noting especially the “dead zones” of poor reception, and increase the transmission power whenever a mobile user device enters such a location. Many other aspects are disclosed.

A base station of a 5G/6G network can include its location coordinates in the SSB system information message which is broadcast on a standard frequency periodically. A mobile user device can receive the SSB and thereby determine the base station location. Thereafter, the user device can measure its own location, speed, and direction of travel, and thereby calculate a Doppler frequency correction before transmitting a message to the base station, thus causing the base station to receive the message at the expected standard frequency. In addition, the user device can calculate, based on the location of the base station relative to the direction of travel of the mobile user device, a particular frequency at which downlink messages from the base station will be received. In addition, the user device can pre-emptively adjust its transmission frequency when changing speed or direction, thereby avoiding wasteful frequency-correction messages from the base station.

A base station of a 5G/6G network can include its location coordinates in the SSB system information message which is broadcast on a standard frequency periodically. A mobile user device can receive the SSB and thereby determine the base station location. Thereafter, the user device can measure its own location, speed, and direction of travel, and thereby calculate a Doppler frequency correction before transmitting a message to the base station, thus causing the base station to receive the message at the expected standard frequency. In addition, the user device can calculate, based on the location of the base station relative to the direction of travel of the mobile user device, a particular frequency at which downlink messages from the base station will be received. In addition, the user device can pre-emptively adjust its transmission frequency when changing speed or direction, thereby avoiding wasteful frequency-correction messages from the base station.