Hamed Pezeshki

According to our database, Hamed Pezeshki authored at least 13 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Artificial Intelligence and Machine Learning Based Beam Prediction in 5G-Advanced and 6G Communications.

Qiaoyu Li, Philip Sisk, Arumugam Kannan, Tao Luo, Taesang Yoo, Hamed Pezeshki, Mahmoud Taherzadeh Boroujeni

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

Machine Learning Based Time Domain Millimeter-Wave Beam Prediction for 5G-Advanced and Beyond: Design, Analysis, and Over-The-Air Experiments.

Qiaoyu Li, Philip Sisk, Arumugam Kannan, Taesang Yoo, Tao Luo, Gaurav Shah, Badri Manjunath, Chanaka Samarathungage, Mahmoud Taherzadeh Boroujeni, Hamed Pezeshki, Himanshu Joshi

IEEE J. Sel. Areas Commun., June, 2023

Position-Aided Beam Prediction in the Real World: How Useful GPS Locations Actually are?

João Morais, Arash Bchboodi, Hamed Pezeshki, Ahmed Alkhateeb

Proceedings of the IEEE International Conference on Communications, 2023

2022

Multi-Modal Beam Prediction Challenge 2022: Towards Generalization.

Gouranga Charan, Umut Demirhan, João Morais, Arash Behboodi, Hamed Pezeshki, Ahmed Alkhateeb

CoRR, 2022

Position Aided Beam Prediction in the Real World: How Useful GPS Locations Actually Are?

João Morais, Arash Behboodi, Hamed Pezeshki, Ahmed Alkhateeb

CoRR, 2022

Breast tumor segmentation in digital mammograms using spiculated regions.

Hamed Pezeshki

Biomed. Signal Process. Control., 2022

Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods.

Hamed Pezeshki, Fabio Valerio Massoli, Arash Behboodi, Taesang Yoo, Arumugam Kannan, Mahmoud Taherzadeh Boroujeni, Qiaoyu Li, Tao Luo, Joseph B. Soriaga

Proceedings of the IEEE Global Communications Conference, 2022

Long Short-Term Memory Based Millimeter Wave Beam Change Prediction via Real-World Data.

Qiaoyu Li, Arumugam Kannan, Himanshu Joshi, Taesang Yoo, Philip Sisk, Mahmoud Taherzadeh Boroujeni, Hamed Pezeshki, Tao Luo

Proceedings of the IEEE Globecom 2022 Workshops, 2022

2021

Mass classification of mammograms using fractal dimensions and statistical features.

Hamed Pezeshki, Maryam Rastgarpour, Arash Sharifi, Samaneh Yazdani

Multidimens. Syst. Signal Process., 2021

2020

Anywhere Decoding: Low-Overhead Uplink Interference Management for Wireless Networks.

Hamed Pezeshki, Masoumeh Sadeghi, Martin Haenggi, J. Nicholas Laneman

IEEE Trans. Wirel. Commun., 2020

2019

Extraction of spiculated parts of mammogram tumors to improve accuracy of classification.

Hamed Pezeshki, Maryam Rastgarpour, Arash Sharifi, Samaneh Yazdani

Multim. Tools Appl., 2019

2015

Anywhere decoding: Low-overhead basestation cooperation for interference- and fading-limited wireless environments.

Hamed Pezeshki, J. Nicholas Laneman

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2013

Jamming Energy Allocation in Training-Based Multiple Access Systems.

Hamed Pezeshki, Xiangyun Zhou, Behrouz Maham

IEEE Commun. Lett., 2013