Forward-forward learning based wireless communications systems
AssigneeApple Inc.
InventorsZhou Zhou, Sharad Sambhwani
Life of this patent
Estimating the term…
Abstract
A wireless communication system may use forward-forward learning to for end-to-end learning. A transmitter may pass a positive dataset and a negative dataset through each of its layers for model training. Each layer may correspond to a goodness function. The transmitter may send the positive dataset to a receiver. The receiver may generate a second positive dataset and a second negative dataset based on the positive dataset sent from the receiver. The receiver may train each of its layers using the second positive dataset and the second negative dataset.
Claims20
A method for training an end-to-end learning based wireless communication system, the method comprising:
- generating, at a transmitter, a first positive dataset and a first negative dataset;
- training one or more layers of the transmitter using the first positive dataset and the first negative dataset;
- sending, via the transmitter, the first positive dataset as signals over a channel to a receiver;
- generating, at the receiver, a second positive dataset and a second negative dataset from the first positive dataset;
- and
- training one or more layers of the receiver using the second positive dataset and the second negative dataset.
A transmitter apparatus comprising:
- a processor;
- and
- a memory storing instructions that, when executed by the processor, configure the apparatus to:
- generate a first positive dataset and a first negative dataset;
- train one or more layers of the transmitter using the first positive dataset and the first negative dataset;
- and
- send the first positive dataset as signals over a channel to a receiver.
Dependencies are inferred from the claim text.