activity
20212025
most citedFull-Duplex mmWave Massive MIMO Systems: A Joint Hybrid Precoding/Combining and Self-Interference Cancellation Design

67 citations · 90 across the 13 of their papers we have counts for

collaborators

13 papers

eess.SP2025

Experimental Demonstration of Over the Air Federated Learning for Cellular Networks

Suyash Pradhan, Asil Koc, Kubra Alemdar +6

Over-the-air federated learning (OTA-FL) offers an exciting new direction over classical FL by averaging model weights using the physics of analog signal propagation. Since each pa…

cs.IT2025

Generative Diffusion Model-based Compression of MIMO CSI

Heasung Kim, Taekyun Lee, Hyeji Kim +6

While neural lossy compression techniques have markedly advanced the efficiency of Channel State Information (CSI) compression and reconstruction for feedback in MIMO communication…

cs.IT2023

Deep Learning Meets Swarm Intelligence for UAV-Assisted IoT Coverage in Massive MIMO

Mobeen Mahmood, MohammadMahdi Ghadaksaz, Asil Koc +1

This study considers a UAV-assisted multi-user massive multiple-input multiple-output (MU-mMIMO) systems, where a decode-and-forward (DF) relay in the form of an unmanned aerial ve…

cs.IT2023

Sub-Array Selection in Full-Duplex Massive MIMO for Enhanced Self-Interference Suppression

Mobeen Mahmood, Asil Koc, Duc Tuong Nguyen +2

This study considers a novel full-duplex (FD) massive multiple-input multiple-output (mMIMO) system using hybrid beamforming (HBF) architecture, which allows for simultaneous uplin…

eess.SP2023★ 4 cited

Antenna Array Structures for Enhanced Cluster Index Modulation

Mahmoud Raeisi, Asil Koc, Ibrahim Yildirim +2

This paper investigates the effect of various antenna array structures, i.e., uniform linear array (ULA), uniform rectangular array (URA), uniform circular array (UCA), and concent…

eess.SP2023★ 8 cited

Cluster Index Modulation for Reconfigurable Intelligent Surface-Assisted mmWave Massive MIMO

Mahmoud Raeisi, Asil Koc, Ibrahim Yildirim +2

In this paper, we propose a transmission mechanism for a reconfigurable intelligent surface (RIS)-assisted millimeter wave (mmWave) system based on cluster index modulation (CIM),…

cs.IT2022★ 6 cited

RIS-Aided Angular-Based Hybrid Beamforming Design in mmWave Massive MIMO Systems

Ibrahim Yildirim, Asil Koc, Ertugrul Basar +1

This paper proposes a reconfigurable intelligent surface (RIS)-aided and angular-based hybrid beamforming (AB-HBF) technique for the millimeter wave (mmWave) massive multiple-input…

cs.IT2022

Nature-Inspired Intelligent α-Fair Hybrid Precoding in Multiuser Massive Multiple-Input Multiple-Output Systems

Asil Koc, Tho Le-Ngoc

This paper proposes a novel nature-inspired -fair hybrid precoding (NI-HP) technique for millimeter-wave multi-user massive multiple-input multiple-output systems. Unlike the…

cs.IT2022★ 1 cited

Energy-Efficient Throughput Maximization in mmWave MU-Massive-MIMO-OFDM: Genetic Algorithm based Resource Allocation

Asil Koc, Farhan Bishe, Tho Le-Ngoc

This paper develops a new genetic algorithm based resource allocation (GA-RA) technique for energy-efficient throughout maximization in multi-user massive multiple-input multiple-o…

cs.IT2022★ 3 cited

A Deep Learning and Geospatial Data-Based Channel Estimation Technique for Hybrid Massive MIMO Systems

Xiaoyi Zhu, Asil Koc, Robert Morawski +1

This paper presents a novel channel estimation technique for the multi-user massive multiple-input multiple-output (MU-mMIMO) systems using angular-based hybrid precoding (AB-HP).…

cs.IT2022

Full-Duplex Non-Coherent Communications for Massive MIMO Systems with Analog Beamforming

Asil Koc, Ahmed Masmoudi, Tho Le-Ngoc

In this paper, a novel full-duplex non-coherent (FD-NC) transmission scheme is developed for massive multiple-input multiple-output (mMIMO) systems using analog beamforming (ABF).…

cs.IT2022★ 1 cited

Deep Learning based Multi-User Power Allocation and Hybrid Precoding in Massive MIMO Systems

Asil Koc, Mike Wang, Tho Le-Ngoc

This paper proposes a deep learning based power allocation (DL-PA) and hybrid precoding technique for multiuser massive multiple-input multiple-output (MU-mMIMO) systems. We first…

eess.SP2021★ 67 cited

Full-Duplex mmWave Massive MIMO Systems: A Joint Hybrid Precoding/Combining and Self-Interference Cancellation Design

Asil Koc, Tho Le-Ngoc

Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems have been considered as one of the primary candidates for the fifth generation (5G) and beyond 5G wir…