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ORCIDEren Balevi
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2020 – today
- 2021
[j12]Eren Balevi
, Akash S. Doshi, Ajil Jalal, Alexandros G. Dimakis, Jeffrey G. Andrews:
High Dimensional Channel Estimation Using Deep Generative Networks. IEEE J. Sel. Areas Commun. 39(1): 18-30 (2021)- [j11]Eren Balevi, Jeffrey G. Andrews:
Wideband Channel Estimation With a Generative Adversarial Network. IEEE Trans. Wirel. Commun. 20(5): 3049-3060 (2021) - [j10]Eren Balevi, Jeffrey G. Andrews:
Unfolded Hybrid Beamforming With GAN Compressed Ultra-Low Feedback Overhead. IEEE Trans. Wirel. Commun. 20(12): 8381-8392 (2021) - 2020
- [j9]Eren Balevi, Jeffrey G. Andrews:
Autoencoder-Based Error Correction Coding for One-Bit Quantization. IEEE Trans. Commun. 68(6): 3440-3451 (2020) - [j8]Eren Balevi, Akash S. Doshi, Jeffrey G. Andrews:
Massive MIMO Channel Estimation With an Untrained Deep Neural Network. IEEE Trans. Wirel. Commun. 19(3): 2079-2090 (2020) - [c19]Eren Balevi, Jeffrey G. Andrews:
High Rate Communication over One-Bit Quantized Channels via Deep Learning and LDPC Codes. SPAWC 2020: 1-5 - [c18]Akash S. Doshi, Eren Balevi, Jeffrey G. Andrews:
Compressed Representation of High Dimensional Channels using Deep Generative Networks. SPAWC 2020: 1-5 - [c17]Roohollah Amiri, Eren Balevi, Jeffrey G. Andrews, Hani Mehrpouyan:
Spatial Indexing for System-Level Evaluation of 5G Heterogeneous Cellular Networks. VTC Fall 2020: 1-6 - [i6]Eren Balevi, Jeffrey G. Andrews:
High Rate Communication over One-Bit Quantized Channels via Deep Learning and LDPC Codes. CoRR abs/2003.00081 (2020) - [i5]Roohollah Amiri, Eren Balevi, Jeffrey G. Andrews, Hani Mehrpouyan:
Spatial Indexing for System-Level Evaluation of 5G Heterogeneous Cellular Networks. CoRR abs/2005.11289 (2020)
2010 – 2019
- 2019
- [j7]Eren Balevi, Jeffrey G. Andrews:
Online Antenna Tuning in Heterogeneous Cellular Networks With Deep Reinforcement Learning. IEEE Trans. Cogn. Commun. Netw. 5(4): 1113-1124 (2019) - [j6]Eren Balevi, Jeffrey G. Andrews:
One-Bit OFDM Receivers via Deep Learning. IEEE Trans. Commun. 67(6): 4326-4336 (2019) - [c16]Eren Balevi, Jeffrey G. Andrews:
Two-Stage Learning for Uplink Channel Estimation in One-Bit Massive MIMO. ACSSC 2019: 1764-1768 - [c15]Eren Balevi, Jeffrey G. Andrews:
A Novel Deep Reinforcement Learning Algorithm for Online Antenna Tuning. GLOBECOM 2019: 1-6 - [c14]Eren Balevi, Jeffrey G. Andrews:
Deep Learning-Based Encoder for One-Bit Quantization. GLOBECOM 2019: 1-6 - [i4]Eren Balevi, Jeffrey G. Andrews:
Online Antenna Tuning in Heterogeneous Cellular Networks with Deep Reinforcement Learning. CoRR abs/1903.06787 (2019) - [i3]Eren Balevi, Jeffrey G. Andrews:
Autoencoder-Based Error Correction Coding for One-Bit Quantization. CoRR abs/1909.12120 (2019) - 2018
- [j5]Eren Balevi, Richard D. Gitlin:
An Inherent Fog Network: Brain-Spinal Cord-Nerve Networks. IEEE Access 6: 9272-9280 (2018) - [j4]Eren Balevi, Richard D. Gitlin:
Optimizing the Number of Fog Nodes for Cloud-Fog-Thing Networks. IEEE Access 6: 11173-11183 (2018) - [c13]Eren Balevi, Richard D. Gitlin:
A Random Access Scheme for Large Scale 5G/IoT Applications. 5G World Forum 2018: 452-456 - [c12]Eren Balevi, Jeffrey G. Andrews:
Reliable Low Resolution OFDM Receivers via Deep Learning. ACSSC 2018: 697-701 - [c11]Eren Balevi, Richard D. Gitlin:
A Clustering Algorithm That Maximizes Throughput in 5G Heterogeneous F-RAN Networks. ICC 2018: 1-6 - [c10]Eren Balevi, Faeik T. Al Rabee, Richard D. Gitlin:
ALOHA-NOMA for Massive Machine-to-Machine IoT Communication. ICC 2018: 1-5 - [c9]Eren Balevi, Richard D. Gitlin:
Synergies Between Cloud-Fag-Thing and Brain-Spinal Cord-Nerve Networks. ITA 2018: 1-9 - [c8]Eren Balevi:
Multiuser Diversity Gain in Uplink NOMA. VTC Fall 2018: 1-5 - [c7]Nabeel I. Sulieman, Eren Balevi, Richard D. Gitlin:
Enhanced Diversity and Network Coded 5G Wireless Fog-Based-Fronthaul Networks. VTC Fall 2018: 1-5 - [c6]Eren Balevi, Richard D. Gitlin:
Pareto optimization for uplink NOMA power control. WTS 2018: 1-5 - [c5]Nabeel I. Sulieman, Eren Balevi, Richard D. Gitlin:
Near-instant link failure recovery in 5G wireless fog-based-fronthaul networks. WTS 2018: 1-6 - [i2]Eren Balevi, Richard D. Gitlin:
Optimizing the Number of Fog Nodes for Cloud-Fog-Thing Networks. CoRR abs/1801.00831 (2018) - [i1]Eren Balevi, Jeffrey G. Andrews:
One-Bit OFDM Receivers via Deep Learning. CoRR abs/1811.00971 (2018) - 2017
- [j3]Eren Balevi, Ali Özgür Yilmaz:
Interference mitigation in multiuser communication by faster than symbol rate sampling. Phys. Commun. 25: 148-157 (2017) - [c4]Eren Balevi, Richard D. Gitlin:
Unsupervised machine learning in 5G networks for low latency communications. IPCCC 2017: 1-2 - [c3]Nabeel I. Sulieman, Eren Balevi, Kemal Davaslioglu, Richard D. Gitlin:
Diversity and network coded 5G fronthaul wireless networks for ultra reliable and low latency communications. PIMRC 2017: 1-6 - [c2]Eren Balevi, Ali Özgür Yilmaz:
Quantifying the improvement of MMSE equalizers by faster sampling rates. SIU 2017: 1-4 - [c1]Eren Balevi, Ali Özgür Yilmaz:
A Novel Practical CP Based Mismatched MMSE Equalization. WCNC 2017: 1-6 - 2016
- [b1]Eren Balevi:
Interference suppression capability of faster than symbol rate sampling and frequency domain oversampling ; Sembol periyodundan hızlı örneklemenin ve frekans alanında yüksek hızda örneklemenin girişim bastırma kabiliıyeti. Middle East Technical University, Çankaya, Ankara, Turkey, 2016 - [j2]Eren Balevi, Ali Özgür Yilmaz:
Analysis of Frequency Domain Oversampled MMSE SC-FDE. IEEE Commun. Lett. 20(2): 232-235 (2016) - 2013
- [j1]Eren Balevi, Özgür B. Akan:
A Physical Channel Model for Nanoscale Neuro-Spike Communications. IEEE Trans. Commun. 61(3): 1178-1187 (2013)
Coauthor Index
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