Dr. S. Mohammad Razavizadeh - IUST

smrazavi  iust.ac.ir  

  Research interests:

• Mobile and Cellular Communication Systems
• Wireless Networks (physical layer)
• Signal Processing for Wireless Communications
• Reconfigurable Intelligent Surfaces
• Massive MIMO Systems
• Wireless Energy Transfer

 Selected  journal  papers: 

• N. Ghiasi, S. Mashhadi, S. Farahmand, S. M. Razavizadeh, and I. Lee, "Energy Efficient AP Selection for Cell-Free Massive MIMO Systems: Deep Reinforcement Learning Approach", in IEEE Transactions on Green Communications and Networking, 2022.  (link)
• M. Parhizgar and S. M. Razavizadeh, "AN-aided beamforming for IRS-assisted SWIPT systems", in Physical Communication, 2022. (link)
• A. Mahmoudi, B. Abolhassani, S. M. Razavizadeh, and H. H. Nguyen, "User Clustering and Resource Allocation in Hybrid NOMA-OMA Systems Under Nakagami-m Fading", in IEEE Access, 2022 (link)
• S. Fatemeh Zamanian, M. H. Kahaei, S. M. Razavizadeh, T. Svensson "Attacking Massive MIMO Cognitive Radio Networks by Optimized Jamming", IEEE Open Journal of the Communications Society, 2021 (link)
• A. Rafieifar, S. M. Razavizadeh, "Secrecy Rate Maximization in Multi-IRS Millimeter Wave Networks", Elsevier Physical Communication, 2021.   (link)
• S.F. Zamanian, S. M. Razavizadeh, Q. Wu "Vertical Beamforming in Intelligent Reflecting Surface-Aided Cognitive Radio Networks", IEEE Wireless Communications Letters, 2021.   (link)
• H. Soltanizadeh, S. Farahmand S. M. Razavizadeh, "Coordinated versus uncoordinated channel tracking for high-rate internet of things in multiuser massive MIMO: Algorithms and performance", Elsevier Signal Processing, 2021.   (link)
• S. Mashhadi, N. Ghiasi, S. Farahmand, S. M. Razavizadeh, "Deep Reinforcement Learning Based Adaptive Modulation With Outdated CSI", IEEE Communications Letters, 2021.   (link)

Visit the website of the MBNRG to learn more (link)

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