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

67 citations · 72 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT20221 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.IT20223 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.IT20221 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.SP202167 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…