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2020 – today
- 2024
[j4]Vali Ghanbarzadeh
, Mohammadreza Zahabi, Hamid Amiriara, Farahnaz Jafari, Georges Kaddoum:
Resource Allocation in NOMA Networks: Convex Optimization and Stacking Ensemble Machine Learning. IEEE Open J. Commun. Soc. 5: 5276-5288 (2024)- [j3]Hamid Amiriara, Mahtab Mirmohseni, Farid Ashtiani, Masoumeh Nasiri-Kenari, Behrouz Maham:
A Novel Stochastic Model for IRS-Assisted Communication Systems Based on the Sum-Product of Nakagami-m Random Variables. IEEE Open J. Commun. Soc. 5: 5921-5932 (2024) - [i3]Hamid Amiriara, Mahtab Mirmohseni, Farid Ashtiani, Masoumeh Nasiri-Kenari:
A Novel Stochastic Model for IRS-Assisted Communication Systems Based on the Sum-Product of Nakagami-m Random Variables. CoRR abs/2401.06268 (2024) - 2023
- [j2]Hamid Amiriara, Seyed Mehdi Hosseini Andargoli, Vahid Meghdadi:
Efficient Radar-Target Assignment in Low Probability of Intercept Radar Networks: A Machine-Learning Approach. IEEE Open J. Commun. Soc. 4: 2165-2175 (2023) - [j1]Hamid Amiriara, Farid Ashtiani, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari:
IRS-User Association in IRS-Aided MISO Wireless Networks: Convex Optimization and Machine Learning Approaches. IEEE Trans. Veh. Technol. 72(11): 14305-14316 (2023) - 2022
- [i2]Hamid Amiriara, Farid Ashtiani, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari:
IRS-User Association in IRS-Aided MISO Wireless Networks: Convex Optimization and Machine Learning Approaches. CoRR abs/2210.16667 (2022) - [i1]Hamid Amiriara:
Comprehensive Study on Railway Communications Systems to Support Hyperloop. CoRR abs/2211.00394 (2022)
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