Method of association of user equipment in a cellular network according to a transferable association policy
US11871251B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 29, 2021 |
| Grant date | Jan 9, 2024 |
| Priority date | — |
| Expiry date | Nov 5, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W24/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for associating user equipment with base stations of a cellular network, in particular of a heterogeneous network such as a 5G network, uses a multi-agent reinforcement learning (MARL) algorithm. When a user equipment enters the network, the agent associated with this equipment downloads the instance of an association meta model to a coordinating unit, pre-trained by means of reinforcement learning. The agent subsequently constructs a local observation vector, comprising observables relating to the user equipment, and a global observation vector, including observables relating to the environment of this equipment. The local and global observation vectors are projected into the same reference space, the concatenation of the vectors thus projected encoding the state of the agent. It deduces from the model and from this state, an association decision. The model is updated according to a policy gradient method to consider evolution of the environment of the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.