Dynamic qos-based co-design of wireless edge-enabled autonomous systems with machine learning

A non-transitory computer-readable medium storing computer-executable instructions which when executed by one or more processors of a device for providing dynamic quality of service (QoS) to multiple devices using QoS-aware controls result in performing operations comprising:

• identifying first state information received from a first device using a network;
• identifying second state information received from a second device using the network, the first state information and the second state information received using a wireless communication medium shared by the first device and the second device;
• generating, using machine learning, based on the first state information, a first dynamic QoS to be applied to the first device at a first time, wherein the first dynamic QoS minimizes a network resource cost function of the first dynamic QoS while providing a first allocation of resources needed by the first device at the first time;
• generating, using the machine learning, based on the second state information, a second dynamic QoS to be applied to the second device at the first time, wherein the second dynamic QoS minimizes a network resource cost function of the second dynamic QoS while providing a second allocation of resources needed by the second device at the first time;
• allocating the first allocation of resources to the first device, based on the first dynamic QoS, at the first time;
• and
• allocating the second allocation of resources to the second device, based on the second dynamic QoS, at the first time.

A method for providing dynamic quality of service (QoS) to multiple devices using QoS-aware controls, the method comprising:

• identifying, by processing circuitry of a first device, first state information received from a second device using a network;
• identifying, by the processing circuitry, second state information received from a third device using the network, the first state information and the second state information received using a wireless communication medium shared by the second device and the third device;
• generating, by the processing circuitry, using machine learning, based on the first state information, a first dynamic QoS to be applied to the second device at a first time, wherein the first dynamic QoS minimizes a network resource cost function of the first dynamic QoS while providing a first allocation of resources needed by the second device at the first time;
• generating, by the processing circuitry, using the machine learning, based on the second state information, a second dynamic QoS to be applied to the third device at the first time, wherein the second dynamic QoS minimizes a network resource cost function of the second dynamic QoS while providing a second allocation of resources needed by the third device at the first time;
• allocating, by the processing circuitry, the first allocation of resources to the second device, based on the first dynamic QoS, at the first time;
• and
• allocating, by the processing circuitry, the second allocation of resources to the third device, based on the second dynamic QoS, at the first time.