Optimal Locally Repairable Codes with Improved Update Complexity. - Mehrtash Mehrabi; Mostafa Shahabinejad; Masoud Ardakani; Majid Khabbazian (CoRR, 2016)

On minimum distance of locally repairable codes. - Mehrtash Mehrabi; Masoud Ardakani (CWIT, 2017)

Minimizing the Update Complexity of Facebook HDFS-RAID Locally Repairable Code. - Mehrtash Mehrabi; Masoud Ardakani; Majid Khabbazian (VTC Fall, 2017)

Improving the Update Complexity of Locally Repairable Codes. - Mehrtash Mehrabi; Mostafa Shahabinejad; Masoud Ardakani; Majid Khabbazian (IEEE Trans. Commun., 2018)

Decision Directed Channel Estimation Based on Deep Neural Network k-Step Predictor for MIMO Communications in 5G. - Mehrtash Mehrabi; Mostafa Mohammadkarimi; Masoud Ardakani; Yindi Jing (IEEE J. Sel. Areas Commun., 2019)

Deep Learning-Based Sphere Decoding. - Mostafa Mohammadkarimi; Mehrtash Mehrabi; Masoud Ardakani; Yindi Jing (IEEE Trans. Wirel. Commun., 2019)

A Deep Learning Based Channel Estimation for High Mobility Vehicular Communications. - Mehrtash Mehrabi; Mostafa Mohammadkarimi; Masoud Ardakani; Yindi Jing (ICNC, 2020)

Deep Adaptive Transmission for Internet of Vehicles (IoV). - Mehrtash Mehrabi; Mostafa Mohammadkarimi; Masoud Ardakani; Yindi Jing (ICNC, 2020)

Statistical Radius Selection for Sphere Decoding. - Mehrtash Mehrabi; Mostafa Mohammadkarimi; Masoud Ardakani; Yindi Jing (PIMRC, 2020)

Sub-Graph Learning for Spatiotemporal Forecasting via Knowledge Distillation. - Mehrtash Mehrabi; Yingxue Zhang (CoRR, 2022)

Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. - Mehrtash Mehrabi; Walid Masoudimansour; Yingxue Zhang 001; Jie Chuai; Zhitang Chen; Mark Coates; Jianye Hao; Yanhui Geng (AAAI, 2023)

Activity Detection for Grant-Free NOMA in Massive IoT Networks. - Mehrtash Mehrabi; Mostafa Mohammadkarimi; Masoud Ardakani (ICNC, 2023)

Evaluation of Tomlinson-Harashima Precoding for Cellular System. - O. Saatlou; Mehrtash Mehrabi; Loïc Canonne-Velasquez; Mohammad Irfan; Afshin Haghighat (VTC Fall, 2024)