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Asymmetric BMOCZ for CFO-resilient Non-coherent Communication
Reference #: 1767
The University of South Carolina is offering licensing opportunities for Asymmetric BMOCZ for CFO-resilient Non-coherent Communication.
Background:
Non-coherent communication is a promising solution to reduce the overhead in modern wireless systems, particularly for low-latency and short-packet applications. Binary modulation on...
Published: 6/26/2026
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Updated: 2/17/2026
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Inventor(s): Alphan Sahin, Parker Huggins, Anthony Perre
Keywords(s):
Category(s): Software and Computing
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The Optimal Radius and Subcarrier Mapping for BMOCZ
Reference #: 1717
The University of South Carolina is offering licensing opportunities for The Optimal Radius and Subcarrier Mapping for BMOCZ.
Background:
Non-coherent communication is a promising solution to reduce the overhead in modern wireless systems, particularly for low-latency and short-packet applications. Binary modulation on conjugate-reciprocal...
Published: 2/17/2026
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Updated: 2/17/2026
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Inventor(s): Alphan Sahin, Parker Huggins
Keywords(s):
Category(s): Software and Computing
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Methods for Majority Vote Computation with Modulation on Conjugate-Reciprocal Zeros
Reference #: 1707
The University of South Carolina is offering licensing opportunities for Methods for Over-the-air Computation with Modulation on Conjugate-Reciprocal Zeros.
Background:
Over-the-air computation (OAC) refers to the computation of special functions like arithmetic mean, norm, polynomial function, maximum, and majority vote (MV) by...
Published: 4/28/2026
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Updated: 2/17/2026
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Inventor(s): Alphan Sahin
Keywords(s):
Category(s): Software and Computing
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ML-Based Zero-Constellation Design for BMOCZ
Reference #: 1757
The University of South Carolina is offering licensing opportunities for ML-Based Zero-Constellation Design for BMOCZ.
Background:
Binary modulation on conjugate-reciprocal zeros (BMOCZ) is a modulation scheme, which works by encoding message bits onto the zeros of a polynomial and letting the coefficients of this polynomial modulate...
Published: 6/29/2026
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Updated: 2/17/2026
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Inventor(s): Alphan Sahin, Anthony Perre, Parker Huggins
Keywords(s):
Category(s): Software and Computing
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Online Training of KAN Autoencoder for Energy Efficient Channel Coding
Reference #: 1747
The University of South Carolina is offering licensing opportunities for Online Training of KAN Autoencoder for Energy Efficient Channel Coding.
Background:
The AI-native radios using autoencoders along with traditional neural network structures (e.g., multi-layer perceptron (MLP)) to encode and decode information bits face limitations...
Published: 6/11/2026
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Updated: 2/17/2026
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Inventor(s): Alphan Sahin, Anthony Perre
Keywords(s):
Category(s): Software and Computing
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Waveform-Triggered Reception and Buffering for Millimeter-Wave Software-Defined Radios
Reference #: 01628
The University of South Carolina is offering licensing opportunities for waveform-triggered reception and buffering for millimeter-wave software-defined radios.
Background:
Millimeter-wave (mmWave) communications is one of the key enablers for high-throughput systems by allowing directive links over a large bandwidth. While there...
Published: 6/29/2026
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Updated: 10/7/2024
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Inventor(s): Alphan Sahin
Keywords(s):
Category(s): Advanced Materials, Software and Computing
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Methods for wireless unsupervised federated clustering with over-the-air computation
Reference #:
The University of South Carolina is offering licensing opportunities for Methods for wireless unsupervised federated clustering with over-the-air computation.
Background:
Over-the-air computation (OAC) is a physical layer concept that can benefit a wide variety of applications for function computation over a bandwidth-limited wireless...
Published: 5/23/2024
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Updated: 5/21/2024
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Inventor(s): Alphan Sahin
Keywords(s):
Category(s): Software and Computing
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Methods and Procedures for Synchronization and Over-the-Air Computation
Reference #: 01615
The University of South Carolina is offering licensing opportunities for Methods and Procedures for Synchronization and Over-the-Air Computation
Background:
Over-the-air computation (OAC) reduces the communication latency that linearly increases with the number of devices in a wireless network for machine learning applications....
Published: 4/24/2026
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Updated: 10/10/2022
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Inventor(s): Alphan Sahin
Keywords(s): federated learning, non-coherent computation, over-the-air computation, software-defined radios, sychronization
Category(s): Software and Computing, Engineering and Physical Sciences
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Over-the-Air Computation Methods Based on Balanced Number Systems for FEEL
Reference #: 01612
The University of South Carolina is offering licensing opportunities for Over-the-Air Computation Methods Based on Balanced Number Systems for FEEL
Background:
Federated edge learning (FEEL) is a distributed learning framework that leverages the computational powers of edge devices (EDs) and uses the local data at the EDs without...
Published: 7/9/2026
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Updated: 8/30/2022
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Inventor(s): Alphan Sahin
Keywords(s): federated learning, non-coherent computation, over-the-air computation, quantization, signed-digit number system
Category(s): Software and Computing, Engineering and Physical Sciences
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Methods for Long-Range Federated Edge Learning with Chirp-Based Over-the-Air Computation
Reference #: 01574
The University of South Carolina is offering licensing opportunities for Methods for Long-Range Federated Edge Learning with Chirp-Based Over-the-Air Computation
Background:
Federated edge learning (FEEL) deploys federated learning (FL) over a wireless network, in which many edge devices (EDs) participate in training using locally...
Published: 7/10/2026
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Updated: 8/2/2022
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Inventor(s): Safi Shams Muhtasimul Hoque, Alphan Sahin
Keywords(s): chirp, DFT-s-OFDM, Distributed learning, federated edge learning, LoRa, orthogonal frequency division multiplexing, over-the-air computation, peak-to-mean envelope power ratio, pulse-position modulation
Category(s): Engineering and Physical Sciences, Software and Computing
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