公开(公告)号：US20210357742A1

公开(公告)日：2021-11-18

申请号：US16591772

申请日：2019-10-03

Applicant: Northeastern University

Inventor： Francesco RESTUCCIA ,  Tommaso MELODIA

IPC: G06N3/08 ,  H04W24/02 ,  G06N3/04 ,  G06N3/063

Abstract: Apparatuses and methods for real-time spectrum-driven embedded wireless networking through deep learning are provided. Radio frequency, optical, or acoustic communication apparatus include a programmable logic system having a front-end configuration core, a learning core, and a learning actuation core. The learning core includes a deep learning neural network that receives and processes input in-phase/quadrature (I/Q) input samples through the neural network layers to extract RF, optical, or acoustic spectrum information. A processing system having a learning controller module controls operations of the learning core and the learning actuation core. The processing system and the programmable logic system are operable to configure one or more communication and networking parameters for transmission via the transceiver in response to extracted spectrum information.

公开(公告)号：US20230079529A1

公开(公告)日：2023-03-16

申请号：US17944687

申请日：2022-09-14

Applicant: Northeastern University

Inventor： Luca BALDESI ,  Francesco RESTUCCIA ,  Tommaso MELODIA

IPC: H04W16/14 ,  H04W24/02 ,  H04W72/04

Abstract: Methods and systems are provided for frequency sharing in RANs using artificial intelligence including scanning, by a spectrum classification unit (SCU) of a channel-aware reactive mechanism (ChARM) app, a plurality of frequencies associated with ongoing communication, classifying, by a DNN of the SCU, I/Q samples of each of the scanned frequencies, the DNN executable via the one or more of the near-RT RIC, the DU, the RU, or combinations thereof, receiving, at a policy decision unit (PDU) from the SCU, the classified frequencies, applying, by the PDU, an embedded policy to the classified frequencies, transmitting commands from the PDU to a DU for making changes to the ongoing communication according to the applied policy, receiving, at a control interface implemented in the DU, the commands transmitted by the PDU, and changing, by the DU according to the commands, an operating parameter of a RU.

公开(公告)号：US20180352326A1

公开(公告)日：2018-12-06

申请号：US15992304

申请日：2018-05-30

Applicant: Northeastern University

Inventor： Francesco RESTUCCIA ,  Emrecan DEMIRORS ,  Tommaso MELODIA

IPC: H04R1/44 ,  H04R1/22 ,  G06F3/16 ,  H04R3/00

CPC classification number: H04B11/00

Abstract: An underwater acoustic communication system for a mobile electronic device, such as a smartphone, has a communication unit with one or more ultrasonic transducers to transmit and receive underwater ultrasonic signals. The communication unit is connected to an audio auxiliary interface of the mobile electronic device. A processing unit in communication with the auxiliary interface receives RF signals from and transmits RF signals to the communication unit via the audio auxiliary interface.

公开(公告)号：US20230163830A1

公开(公告)日：2023-05-25

申请号：US18093602

申请日：2023-01-05

Applicant: Northeastern University

Inventor： Michele POLESE ,  Francesco RESTUCCIA ,  Tommaso MELODIA

IPC: H04B7/08 ,  H04B7/06

CPC classification number: H04B7/086 ,  H04B7/088 ,  H04B7/0695

Abstract: 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.

公开(公告)号：US20210352053A1

公开(公告)日：2021-11-11

申请号：US17316773

申请日：2021-05-11

Applicant: Northeastern University

Inventor： Tommaso MELODIA ,  Leonardo BONATI ,  Salvatore D'ORO ,  Francesco RESTUCCIA

IPC: H04L29/06 ,  H04L5/00

Abstract: A steganographic communication system and method are provided. A covert packet generator can embed a stream of covert data as covert data symbols within primary I/Q symbols of a primary data stream in a covert packet. The covert packet has a data structure having a header, a payload, and a payload error detecting code. The header includes information on how to demodulate the covert packet by a receiver. The covert packet generator can also determine if a number of primary I/Q symbols is large enough to generate the header and can generate displacements in the primary I/Q symbols in a constellation diagram randomly in a plurality of transmissions to mimic channel noise. A transmitter and receiver can provide mutual authentication for covert transmissions.

公开(公告)号：US20210259639A1

公开(公告)日：2021-08-26

申请号：US17176229

申请日：2021-02-16

Applicant: Northeastern University

Inventor： Daniel UVAYDOV ,  Raffaele GUIDA ,  Francesco RESTUCCIA ,  Tommaso MELODIA

IPC: A61B5/00 ,  G16H40/60 ,  G06N3/08 ,  G06N3/04

Abstract: A deep learning medical device implantable in a body is provided. The device includes a processing and communication unit and a sensing and actuation unit. The processing and communication unit includes a deep learning module including a neural network trained to process the input samples, received from the sensing and actuation unit, through a plurality of layers to classify physiological parameters and provide classification results. A communication interface in communication with the deep learning module receives the classification results for ultrasonic transmission through biological tissue. Methods of sensing and classifying physiological parameters of a body and methods of embedding deep learning into an implantable medical device are also provided.

公开(公告)号：US20240334209A1

公开(公告)日：2024-10-03

申请号：US18620310

申请日：2024-03-28

Applicant: Northeastern University

Inventor： Daniel UVAYDOV ,  Milin ZHANG ,  Salvatore D'ORO ,  Tommaso MELODIA ,  Francesco RESTUCCIA ,  Clifton Paul ROBINSON

IPC: H04W24/02 ,  G06N3/0464 ,  G06N3/08 ,  H04B1/12

CPC classification number: H04W24/02 ,  G06N3/0464 ,  G06N3/08 ,  H04B1/12

Abstract: Provided herein are methods and systems for identifying one or more unused or underused portions of a wireless radio frequency (RF) spectrum including providing a multi-label multi-class machine learning classifier trained using a set of RF transmission data, receiving, by a receiver, wireless RF signals in an environment suspected of containing unused or underused portions of said RF spectrum, classifying the received wireless RF signals using the classifier; and identifying unused or underused portions of said RF spectrum.

公开(公告)号：US20230156473A1

公开(公告)日：2023-05-18

申请号：US17128437

申请日：2020-12-21

Applicant: Northeastern University

Inventor： Tommaso MELODIA ,  Francesco RESTUCCIA ,  Salvatore D'ORO

IPC: H04W12/122 ,  H04L41/16

CPC classification number: H04W12/122 ,  H04L41/16

Abstract: A method of determining a response of a radio frequency wireless communication system to an adversarial attack is provided. Adversarial signals from an adversarial node are transmitted to confuse a target neural network of the communication system. An accuracy of classification of the incoming signals by the target neural network is determined.

公开(公告)号：US20220141821A1

公开(公告)日：2022-05-05

申请号：US17424522

申请日：2020-01-24

Applicant: Northeastern University

Inventor： Salvatore D'ORO ,  Francesco RESTUCCIA ,  Tommaso MELODIA

IPC: H04W72/04 ,  H04W16/14 ,  H04W16/10 ,  H04W48/18 ,  H04W84/04

Abstract: Methods and systems for allocating radio access network (RAN) spectrum resources among a plurality of mobile virtual network operators (MVNOs) of a network of base stations. The methods and systems include determining a slicing enforcement policy that assigns resource blocks (RBs) of frequency units and time slots of spectrum resources to each MVNO according to a slicing policy in which each MVNO is allocated an amount of the spectrum resources on at least one base station in a determined time span. The slicing enforcement policy minimizes overlap between each MVNO's set of RBs with another MVNO's set of RBs on a same base station, and interference between each MVNO's set of RBs with another MVNO's set of RBs on an interfering base station.

公开(公告)号：US20220217035A1

公开(公告)日：2022-07-07

申请号：US17604476

申请日：2020-02-24

Applicant: Northeastern University

Inventor： Tommaso MELODIA ,  Francesco RESTUCCIA

IPC: H04L27/34 ,  G06N3/04 ,  G06N3/08 ,  G06N3/063 ,  H04L27/38

Abstract: A polymorphic platform for wireless communication systems is provided that employs trained classification techniques to determine physical layer parameters from a transmitter at a receiver. The system includes a learning module to determine transmitted physical layer parameters of the signal using a trained classification module, such as a deep learning neural network. The trained classification module receives I/Q input samples from receiver circuitry and processes the I/Q input samples to determine transmitted physical layer parameters from the transmitter. The system includes a polymorphic processing unit that demodulates data from the signal based on the determined transmitted parameters.