67 citations · 93 across the 12 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
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).…
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).…
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…