Search Results - alphan+sahin

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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: 2/17/2026 | Inventor(s): Alphan Sahin, Parker Huggins, Anthony Perre

Keywords(s):

Category(s): Software and Computing

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 | Inventor(s): Alphan Sahin, Parker Huggins

Keywords(s):

Category(s): Software and Computing

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: 2/18/2026 | Inventor(s): Alphan Sahin

Keywords(s):

Category(s): Software and Computing

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: 2/17/2026 | Inventor(s): Alphan Sahin, Anthony Perre, Parker Huggins

Keywords(s):

Category(s): Software and Computing

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: 2/17/2026 | Inventor(s): Alphan Sahin, Anthony Perre

Keywords(s):

Category(s): Software and Computing

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: 2/11/2026 | Inventor(s): Alphan Sahin

Keywords(s):

Category(s): Advanced Materials, Software and Computing

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 | Inventor(s): Alphan Sahin

Keywords(s):

Category(s): Software and Computing

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: 2/28/2024 | 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

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: 10/24/2022 | 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

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: 1/28/2026 | 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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