Northeastern University

Michele Polese

Tommaso Melodia

Francesco Restuccia

Leonardo Bonati

Salvatore D'Oro

Salvatore D'oro

Provided herein are open radio access network (Open RAN) adapters for using non-open RAN nodes in a wireless network having Open RAN infrastructure, the Open RAN adapters including one or more control application programming interfaces (Control APIs) for controlling the non-open RAN nodes, one or more Data Capture APIs for capturing operational data from the non-open RAN nodes, one or more Open RAN interfaces for communication between the Open RAN adapter and the Open RAN infrastructure and one or more software modules each configured to translate data received via the Data Capture APIs to Open RAN compatible data for use by the Open RAN infrastructure and/or translate Open RAN commands received via the Open RAN interfaces to non-open RAN compatible commands for instantiation at one or more of the non-open RAN nodes via the Control APIs.

Open RAN adapter for use of open RAN technologies on legacy RAN systems

A system and method for beam management in a wireless network are provided. A learning module having a trained classification module processes received I/Q input samples to determine transmitted beam information of incoming RF transmissions. The learning module includes a beam inference engine to determine waveforms waveform characteristics of incoming RF transmissions beams, and an angle of arrival engine operative to determine an angle of arrival of the incoming RF transmissions beams on an antenna array. An incoming RF transmission beam and angle of arrival are selected based on the determined waveforms for beam management operations.

Coordination-free mmWave beam management with deep waveform learning

A radio access network (RAN) intelligent controller (RIC) and corresponding method may be implemented within RAN and in next-generation cellular networks to improve performance. The RIC comprises an interface to a RAN and further comprises a data-driven logic unit. The data-driven logic unit (i) produces, based on data received from the RAN via the interface, a representation describing a state of the RAN and (ii) based on the representation describing the state, instructs an action associated with at least one network element. The interface transmits a message based on the action instructed. The message is to be routed to the at least one network element. The representation is based on a context of the RAN. The message transmitted enabling re-configuration of the at least one network element. The re-configuration improves performance of the at least one network element within the context.

Intelligence and learning in O-RAN for 5G and 6G cellular networks

A system and method for beam management in a wireless network are provided. A learning module having a trained classification module processes received I/Q input samples to determine transmitted beam information of incoming RF transmissions. The learning module includes a beam inference engine to determine waveform characteristics of incoming RF transmissions, and an angle of arrival engine operative to determine an angle of arrival of the incoming RF transmissions on an antenna array. An incoming RF transmission and angle of arrival are selected based on the determined waveforms for beam management operations.

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Boston, MA, United States of America

Michele Polese