- Patent Title: Device and method for reliable classification of wireless signals
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Application No.: US17650686Application Date: 2022-02-11
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Publication No.: US11611457B2Publication Date: 2023-03-21
- Inventor: Salvatore D'Oro , Tommaso Melodia , Francesco Restuccia
- Applicant: Northeastern University
- Applicant Address: US MA Boston
- Assignee: Northeastern University
- Current Assignee: Northeastern University
- Current Assignee Address: US MA Boston
- Agency: Hamilton, Brook, Smith & Reynolds, P.C.
- Main IPC: H04L25/02
- IPC: H04L25/02 ; H04L1/00 ; H04L25/03 ; H04L5/00

Abstract:
A machine learning (ML) agent operates at a transmitter to optimize signals transmitted across a communications channel. A physical signal modifier modifies a physical layer signal prior to transmission as a function of a set of signal modification parameters to produce a modified physical layer signal. The ML agent parses a feedback signal from a receiver across the communications channel, and determines a present tuning status as a function of the signal modification parameters and the feedback signal. The ML agent generates subsequent signal modification parameters based on the present tuning status and a set of stored tuning statuses, thereby updating the physical signal modifier to generate a subsequent modified physical layer signal to be transmitted across the communications channel.
Public/Granted literature
- US20220255775A1 Device and Method for Reliable Classification of Wireless Signals Public/Granted day:2022-08-11
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