Wireless system

A system, comprising:

• a transceiver to communicate with a predetermined target;
• one or more antennas coupled to the transceiver each electrically or mechanically steerable to the predetermined target;
• artificial intelligence (AI) software or a neural network to allocate slices of cellular frequencies to different wireless devices to optimize frequency utilization across available bandwidth;
• and
• an edge processing module coupled to the transceiver and one or more antennas on a tower to provide low latency computation for the predetermined target,
• wherein the edge processing module comprises at least a processor, a graphical processing unit (GPU), a neural network, a quantum computer, a statistical engine, or a programmable logic device (PLD).

A system, comprising:

• a transceiver to communicate with a predetermined target;
• one or more antennas coupled to the transceiver each electrically or mechanically steerable to the predetermined target;
• and
• a beam sweeping module controlling the antenna in accordance with artificial intelligence frequency hopping selection to maximize bandwidth allocation.

A system, comprising:

• a transceiver to communicate with a predetermined target;
• one or more antennas coupled to the transceiver each electrically or mechanically steerable to the predetermined target;
• and
• a beam sweeping module controlling the antenna in accordance with one of:
• artificial intelligence frequency hopping selection to maximize bandwidth allocation, a service level agreement, a performance requirement, a traffic distribution data, a networking requirement or prior beam sweeping history, further comprising a cloud trained neural network whose network parameters are reduced before transferring to the edge neural network.