Search Results for author: Alphan Sahin

Found 13 papers, 1 papers with code

Reliable Majority Vote Computation with Complementary Sequences for UAV Waypoint Flight Control

no code implementations26 Sep 2023 Alphan Sahin, XiaoFeng Wang

In this study, we propose a non-coherent over-the-air computation scheme to calculate the majority vote (MV) reliably in fading channels.

Wireless Federated $k$-Means Clustering with Non-coherent Over-the-Air Computation

no code implementations11 Aug 2023 Alphan Sahin

In this study, we propose using an over-the-air computation (OAC) scheme for the federated k-means clustering algorithm to reduce the per-round communication latency when it is implemented over a wireless network.

Clustering

A Survey on Over-the-Air Computation

no code implementations20 Oct 2022 Alphan Sahin, Rui Yang

In such scenarios, information theoretical results show that harnessing the interference in a multiple access channel for computation, i. e., over-the-air computation (OAC), can provide a significantly higher achievable computation rate than separating communication and computation tasks.

Over-the-Air Computation Based on Balanced Number Systems for Federated Edge Learning

no code implementations13 Oct 2022 Alphan Sahin

In this study, we propose a digital over-the-air computation (OAC) scheme for achieving continuous-valued (analog) aggregation for federated edge learning (FEEL).

Over-the-Air Computation over Balanced Numerals

no code implementations22 Sep 2022 Alphan Sahin, Rui Yang

In this study, a digital over-the-air computation (OAC) scheme for achieving continuous-valued gradient aggregation is proposed.

A Demonstration of Over-the-Air Computation for Federated Edge Learning

1 code implementation20 Sep 2022 Alphan Sahin

In this study, we propose a general-purpose synchronization method that allows a set of software-defined radios (SDRs) to transmit or receive any in-phase/quadrature data with precise timings while maintaining the baseband processing in the corresponding companion computers.

Chirp-Based Over-the-Air Computation for Long-Range Federated Edge Learning

no code implementations22 Jun 2022 Safi Shams Muhtasimul Hoque, Mohammad Hassan Adeli, Alphan Sahin

We compare our proposed scheme with one-bit broadband digital aggregation (OBDA) and show that the output-power back-off (OBO) requirement of the transmitters with an adjacent-channel-leakage ratio (ACLR) constraint for CSC-MV is lower than the one with OBDA.

Over-the-Air Computation with DFT-spread OFDM for Federated Edge Learning

no code implementations26 Dec 2021 Alphan Sahin, Bryson Everette, Safi Shams Muhtasimul Hoque

By taking the delay spread and time-synchronization errors into account, the MV at the ES is obtained with an energy detector.

Distributed Learning over a Wireless Network with FSK-Based Majority Vote

no code implementations2 Nov 2021 Alphan Sahin, Bryson Everette, Safi Shams Muhtasimul Hoque

In this study, we propose an over-the-air computation (AirComp) scheme for federated edge learning (FEEL).

Index Modulation with Circularly-Shifted Chirps for Dual-Function Radar and Communications

no code implementations28 Sep 2021 Alphan Sahin, Safi Shams Muhtasimul Hoque, Chao-Yu Chen

For radar functionality, CSC-IM maintains the good autocorrelation (AC) properties of a chirp by ensuring that the transmitted CSCs are separated apart sufficiently in the time domain through index separation (IS).

Wideband Index Modulation with Circularly-Shifted Chirps

no code implementations25 Oct 2020 Safi Shams Muhtasimul Hoque, Chao-Yu Chen, Alphan Sahin

In this study, we propose a wideband index modulation (IM) based on circularly-shifted chirps.

Index-Modulated Circularly-Shifted Chirps for Dual-Function Radar & Communication Systems

no code implementations7 Oct 2020 Safi Shams Muhtasimul Hoque, Alphan Sahin

In this study, we analyze index modulation (IM) based on circularly-shifted chirps (CSCs) for dual-function radar & communication (DFRC) systems.

DFT-spread-OFDM Based Chirp Transmission

no code implementations9 Aug 2020 Alphan Sahin, Nozhan Hosseini, Hosseinali Jamal, Safi Shams Muhtasimul Hoque, David W. Matolak

In this study, we propose a framework for chirp-based communications by exploiting discrete Fourier transform-spread orthogonal frequency division multiplexing (DFT-s-OFDM).

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