Intel Corporation

Mark R Eisen

Nageen Himayat

Dave A Cavalcanti

Javier Felip Leon

Javier Perez-Ramirez

Ravikumar Balakrishnan

Mikhail T Galeev

Mustafa Akdeniz

Navid Naderializadeh

Arjun Anand

Sagar Dhakal

David Israel González Aguirre

A device may determine a plurality of link settings for a communication link within a time sensitive network. The device may determine a threshold value for the communication link based on the plurality of link settings. The device may determine a current value of a parameter of the communication link based on the plurality of link settings. The device may compare the current value of the parameter to a threshold value. Responsive to the current value of the parameter being less than the threshold value, the device may successively update a link setting of the plurality of link settings to cause the current value of the parameter to approach the threshold value.

Dynamic adaptation of time-aware communications in time-sensitive systems

An apparatus of a transmitter computing node n (TX node n) of a wireless network, one or more computer readable media, a system, and a method. The apparatus includes one or more processors to: implement machine learning (ML) based training rounds, each training round including: determining a local action value function Q(h, a; θ) corresponding to a value of performing a radio resource management (RRM) action aat a receiving computing node n (RX node n) associated with TX node n using policy parameter θand based on h, hincluding channel state information at RX node n; and determining, based on an overall action value function Qat time t, an estimated gradient of an overall loss at time t for overall policy parameter θ(∇L(θ)), wherein Qcorresponds to a mixing of local action value functions Q(h, a; θ) for all TX nodes i in the network at time t including TX node n; and determine, in response to a determination that ∇L(θ) is close to zero for various values of t during training, a trained local action value function Qto generate a trained action value relating to data communication between TX node n and RX node n.

Apparatus, system, method and computer-implemented storage media to implement radio resource management policies using machine learning

Growing community of inventors

Beaverton, OR, United States of America

Mark R Eisen