Machine/deep learning based estimation and detection in OFDM communication systems with various channel imperfections

Performance Analysis and Design of MIMO Power NOMA With Estimated Parameters Error Statistics Along With SIC and Hardware Imperfections

(2021) Aditya Panchal et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Pilot-Assisted SIMO-NOMA Signal Detection With Learnable Successive Interference Cancellation

(2021) Xiaoming Wang et al.   IEEE COMMUNICATIONS LETTERS

Deep Learning-Based Joint Detection for OFDM-NOMA Scheme

(2021) Yihang Xie et al.   IEEE COMMUNICATIONS LETTERS

Asynchronous Transmission for Multiple Access Channels: Rate-Region Analysis and System Design for Uplink NOMA

(2021) Mehdi Ganji et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Carrier Frequency Offset (CFO) Synchronization and Peak Average Power Ratio (PAPR) Minimization for Energy Efficient Cognitive Radio Network (CRN) for 5G Wireless Communication

(2021) T. Balachander et al.   WIRELESS PERSONAL COMMUNICATIONS

Deep learning-based flexible joint channel estimation and signal detection of multi-user OFDM-NOMA

(2021) Ahmet Emir et al.   Physical Communication

A low complexity enhanced-NOMA scheme to reduce inter-user interference, BER and PAPR in 5G wireless systems

(2021) Mohsen Kazemian et al.   Physical Communication

Down-Link NOMA Networks in the Presence of IQI and Imperfect SIC: Receiver Design and Performance Analysis

(2020) Malek M. Alsmadi et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Iterative Nonlinear Self-Interference Cancellation for In-Band Full-Duplex Wireless Communications Under Mixer Imbalance and Amplifier Nonlinearity

(2020) Kazuki Komatsu et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Deep Learning for Channel Estimation: Interpretation, Performance, and Comparison

(2020) Qiang Hu et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Enhanced OFDM-NOMA for Next Generation Wireless Communication: A Study of PAPR Reduction and Sensitivity to CFO and Estimation Errors

(2019) Vinay Kumar Trivedi et al.   AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS

Deep Learning-Based Channel Estimation

(2019) Mehran Soltani et al.   IEEE COMMUNICATIONS LETTERS

Deep Learning in Physical Layer Communications

(2019) Zhijin Qin et al.   IEEE WIRELESS COMMUNICATIONS

Online Extreme Learning Machine-Based Channel Estimation and Equalization for OFDM Systems

(2019) Jun Liu et al.   IEEE COMMUNICATIONS LETTERS

A Deep Learning Approach for MIMO-NOMA Downlink Signal Detection

(2019) Chuan Lin et al.   SENSORS

Improving NOMA Multi-Carrier Systems With Intentional Frequency Offsets

(2019) Mehdi Ganji et al.   IEEE Wireless Communications Letters

MBER Criterion Assisted Power NOMA Design and Performance Analysis With Estimated Channel

(2019) Amit Kumar Dutta   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Deep Learning for An Effective Non-Orthogonal Multiple Access Scheme

(2018) Guan Gui et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems

(2018) Hao Ye et al.   IEEE Wireless Communications Letters

Mitigating NLD for Wireless Networks: Effect of Nonlinear Power Amplifiers on Future Wireless Communication Networks

(2017) Praveen Kumar Singya et al.   IEEE MICROWAVE MAGAZINE

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

A Low-Complexity ML Estimator for Carrier and Sampling Frequency Offsets in OFDM Systems

(2014) Xu Wang et al.   IEEE COMMUNICATIONS LETTERS

Joint Maximum Likelihood Estimation of Carrier and Sampling Frequency Offsets for OFDM Systems

(2011) Yong-Hwa Kim et al.   IEEE TRANSACTIONS ON BROADCASTING

RLS-Based Joint Estimation and Tracking of Channel Response, Sampling, and Carrier Frequency Offsets for OFDM

(2009) Hung Nguyen-Le et al.   IEEE TRANSACTIONS ON BROADCASTING