activity
20122024
most citedHybrid 3D Localization for Visible Light Communication Systems

114 citations · 181 across the 31 of their papers we have counts for

collaborators

34 papers

eess.SY2024

A mmWave Software-Defined Array Platform for Wireless Experimentation at 24-29.5 GHz

Ashwini Pondeycherry Ganesh, Anthony Perre, Alphan Sahin +2

Advanced millimeter-wave software-defined array (SDA) platforms, or testbeds at affordable costs and high performance are essential for the wireless community. In this paper, we pr…

eess.SP2024

A Self-Healing Mesh Network without Global-Time Synchronization

Alphan Şahin, Hüseyin Arslan

In this paper, we propose a slot-based protocol that does not rely on global-time synchronization to achieve a self-healing mesh network. With the proposed protocol, each node sync…

cs.IT2023

Majority Vote Computation With Complementary Sequences for Distributed UAV Guidance

Alphan Sahin, Xiaofeng Wang

This study introduces a novel non-coherent over-the-air computation (OAC) scheme aimed at achieving reliable majority vote (MV) calculations in fading channels. The proposed approa…

eess.SP2023

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

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 imp…

eess.SP2023

A Millimeter-Wave Software-Defined Radio for Wireless Experimentation

Alphan Şahin, Mihail L. Sichitiu, İsmail Guvenç

In this study, we propose a low-cost and portable millimeter-wave software-defined radio (SDR) for wireless experimentation in the 60 GHz band. The proposed SDR uses Xilinx RFSoC2x…

cs.IT2022★ 3 cited

Distributed Learning over a Wireless Network with Non-coherent Majority Vote Computation

Alphan Sahin

In this study, we propose an over-the-air computation (OAC) scheme to calculate the majority vote (MV) for federated edge learning (FEEL). With the proposed approach, edge devices…

cs.IT2022★ 1 cited

A Survey on Over-the-Air Computation

Alphan Sahin, Rui Yang

Communication and computation are often viewed as separate tasks. This approach is very effective from the perspective of engineering as isolated optimizations can be performed. Ho…

cs.IT2022

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

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). We show that the…

eess.SP2022★ 1 cited

Over-the-Air Computation over Balanced Numerals

Alphan Sahin, Rui Yang

In this study, a digital over-the-air computation (OAC) scheme for achieving continuous-valued gradient aggregation is proposed. It is shown that the average of a set of real-value…

eess.SP2022

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

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 prec…

eess.SP2022

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

Safi Shams Muhtasimul Hoque, Mohammad Hassan Adeli, Alphan Sahin

In this study, we propose circularly-shifted chirp (CSC)-based majority vote (MV) (CSC-MV), a power-efficient over-the-air computation (OAC) scheme, to achieve long-range federated…

cs.IT2022

Multi-cell Non-coherent Over-the-Air Computation for Federated Edge Learning

Mohammad Hassan Adeli, Alphan Sahin

In this paper, we propose a framework where over-the-air computation (OAC) occurs in both uplink (UL) and downlink (DL), sequentially, in a multi-cell environment to address the la…

eess.SP2021★ 7 cited

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

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) without channel state information (CSI) at the edge devices (EDs) or the e…

eess.SP2021

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

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). The proposed scheme relies on the concept of distributed learning by majo…

eess.SP2021

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

Alphan Sahin, Safi Shams Muhtasimul Hoque, Chao-Yu Chen

In this study, we propose index modulation (IM) with circularly-shifted chirps (CSCs) (CSC-IM) for dual-function radar and communication (DFRC) systems. The proposed scheme encodes…

cs.IT2021

Encoding and Decoding with Partitioned Complementary Sequences for Low-PAPR OFDM

Alphan Sahin

In this study, we propose partitioned complementary sequences (CSs) where the gaps between the clusters encode information bits to achieve low peak-to-average-power ratio (PAPR) or…

eess.SP2020

Wideband Index Modulation with Circularly-Shifted Chirps

Safi Shams Muhtasimul Hoque, Chao-Yu Chen, Alphan Sahin

In this study, we propose a wideband index modulation (IM) based on circularly-shifted chirps. To derive the proposed method, we first prove that a Golay complementary pair (GCP) c…

eess.SP2020

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

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. We develop a maximum likelihood (M…

eess.SP2020

DFT-spread-OFDM Based Chirp Transmission

Alphan Sahin, Nozhan Hosseini, Hosseinali Jamal +2

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

eess.SP2020

RL-Based Interference Mitigation in Uncoordinated Networks with Partially Overlapping Tones

Mrugen Deshmukh, Md Moin Uddin Chowdhury, Sung Joon Maeng +2

Partially-overlapping tones (POT) are known to help mitigate co-channel interference in uncoordinated multi-carrier networks by introducing intentional frequency offsets (FOs) to t…

cs.IT2020

Golay Layer: Limiting Peak-to-Average Power Ratio for OFDM-based Autoencoders

Alphan Sahin, David W. Matolak

In this study, we propose a differentiable layer for OFDM-based autoencoders (OFDM-AEs) to avoid high instantaneous power without regularizing the cost function used during the tra…

cs.IT2019★ 1 cited

An Uplink Control Channel Design with Complementary Sequences for Unlicensed Bands

Alphan Sahin, Rui Yang

In this paper, two modulation schemes based on complementary sequences (CSs) are proposed for uplink control channels in unlicensed bands. These schemes address high peak-to-averag…

cs.IT2019

Low-PAPR Multi-channel OOK Waveform for IEEE 802.11ba Wake-up Radio

Alphan Sahin, Xiaofei Wang, Hanqing Lou +1

The peak-to-average-power ratio (PAPR) of the frequency domain multiplexed wake-up signals (WUSs) specified in IEEE P802.11ba can be very large and difficult to manage since it dep…

cs.IT2019

A Reliable Uplink Control Channel Design with Complementary Sequences

Alphan Şahin, Rui Yang

In this study, we propose two schemes for uplink control channels based on non-contiguous complementary sequences (CSs) where the peak-to-average-power ratio (PAPR) of the resultin…