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  • دکتری (1393)

    مهندسی برق - مخابرات

    دانشگاه تربیت مدرس،

  • طراحی شبکه های بی سیم
  • امنیت در شبکه های بی سیم
  • مخابرات مولکولی

    Nader Mokari Yamchi (Senior Member, IEEE) completed his PhD studies in electrical Engineering at Tarbiat Modares University, Tehran, Iran in 2014. His thesis received the IEEE outstanding Ph.D. thesis award. He joined the Department of Electrical and Computer Engineering, Tarbiat Modares University as an assistant professor in October 2015. He has been elected as an IEEE exemplary reviewer in 2016 by IEEE Communications Society. Now, he is an Associated Professor at the Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran. His research interests cover many aspects of wireless technologies with a special emphasis on wireless networks. In recent years, his research has been funded by Iranian Mobile Telecommunication Companies, Iranian National Science Foundation (INSF). He received the Best Paper Award at ITU K-2020. He was also involved in a number of large scale network design and consulting projects in the telecom industry.

    ارتباط

    رزومه

    Optimal SIC Ordering and Power Allocation in Downlink Multi-Cell NOMA Systems

    Sepehr Rezvani, Eduard A Jorswieck, Nader Mokari, Mohammad R Javan
    Journal PapersarXiv preprint arXiv:2102.05015 , 2021 February 9, {Pages }

    Abstract

    In this work, we consider the problem of finding globally optimal joint successive interference cancellation (SIC) ordering and power allocation (JSPA) for the general sum-rate maximization problem in downlink multi-cell NOMA systems. We propose a globally optimal solution based on the exploration of base stations (BSs) power consumption and distributed power allocation. The proposed centralized algorithm is still exponential in the number of BSs, however scales well with larger number of users. For any suboptimal decoding order, we address the problem of joint rate and power allocation (JRPA) to achieve maximum users sum-rate. Furthermore, we design semi-centralized and distributed JSPA frameworks with polynomial time complexity. Numerical

    Proactive and AoI-aware Failure Recovery for Stateful NFV-enabled Zero-Touch 6G Networks: Model-Free DRL Approach

    Amirhossein Shaghaghi, Abolfazl Zakeri, Nader Mokari, Mohammad Reza Javan, Mohammad Behdadfar, Eduard A Jorswieck
    Journal PapersarXiv preprint arXiv:2103.03817 , 2021 February 2, {Pages }

    Abstract

    In this paper, we propose a model-free deep reinforcement learning (DRL)-based proactive failure recovery (PFR) framework called zero-touch PFR (ZT-PFR) for the embedded stateful virtual network functions (VNFs) in network function virtualization (NFV) enabled networks. To realize the ZT-PFR concept, sequential decision-making based on network status is necessary. To this end, we formulate an optimization problem for efficient resource usage by minimizing the defined network cost function including resource cost and wrong decision penalty. Inspired by ETSI and ITU, we propose a novel impending failure model where each VNF state transition follows a Markov process. As a solution, we propose state-of-the-art DRL-based methods such as soft act

    TDMA-MTMR-Based Molecular Communication with Ligand-Binding Reception

    Hamid Khoshfekr Rudsari, Mohammad Reza Javan, Mahdi Orooji, Nader Mokari, Eduard A Jorswieck
    Journal PapersIEEE Transactions on Molecular, Biological and Multi-Scale Communications , 2021 January 27, {Pages }

    Abstract

    Multiple access-based molecular communication (MC) is an important way to implement MC nanonetworks for the Internet of Bio-Nano Things. In this paper, we propose a framework for time division multiple access (TDMA)-based MC by considering multiple-type transmission multiple-type reception (MTMR) for a system with multiple transmitter nanomachines and one receiver nanomachine (RN) which is non-ideal and has a switching delay. The reception process is based on ligand-binding reception. We study the drug release management approaches by minimizing the error probability. Besides, we propose a metric to find signal-to-interference ratio based on the channel memory. Analytical results, which are verified by the simulation, show that the TDMA-MTM

    Robust Energy-Efficient Resource Management, SIC Ordering, and Beamforming Design for MC MISO-NOMA Enabled 6G

    Abolfazl Zakeri, Ata Khalili, Mohammad Reza Javan, Nader Mokari, Eduard A Jorswieck
    Journal PapersarXiv preprint arXiv:2101.06799 , 2021 January 17, {Pages }

    Abstract

    This paper studies a novel approach for successive interference cancellation (SIC) ordering and beamforming in a multiple antennas non-orthogonal multiple access (NOMA) network with multi-carrier multi-user setup. To this end, we formulate a joint beamforming design, subcarrier allocation, user association, and SIC ordering algorithm to maximize the worst-case energy efficiency (EE). The formulated problem is a non-convex mixed integer non-linear programming (MINLP) which is generally difficult to solve. To handle it, we first adopt the linearizion technique as well as relaxing the integer variables, and then we employ the Dinkelbach algorithm to convert it into a more mathematically tractable form. The adopted non-convex optimization probl

    Robust Resource Allocation for Cooperative MISO-NOMA-based Heterogeneous Networks

    Atefeh Rezaei, Paeiz Azmi, Nader Mokari, Mohammad Reza Javan, Halim Yanikomeroglu
    Journal PapersIEEE Transactions on Communications , 2021 March 2, {Pages }

    Abstract

    In this paper, we consider a cooperative multiple-input single-output (MISO) heterogeneous communication network based on the power domain non-orthogonal multiple access (PD-NOMA). We aim to investigate a resource allocation problem regarding the uncertainty of the channel state information at the transmitter (CSIT) and the imperfect SIC case. Since there is an essential need for low-complexity algorithms with reasonably good performance for the extremely complex access architectures, we propose two novel methods based on matching game with externalities and successive convex approximation (SCA) to realize the hybrid scheme where the number of the cooperative nodes is variable. Moreover, we propose a new matching utility function to manage

    AI-based Radio Resource Management and Trajectory Design for PD-NOMA Communication in IRS-UAV Assisted Networks

    HM Hariz, S Sheikhzadeh, N Mokari, MR Javan, B Abbasi-Arand, ...
    Journal Papers , , {Pages }

    Abstract

    AI-Based Radio Resource Management and Trajectory Design in CoMP UAV VLC Networks: Constant Velocity Vs. Constant Acceleration

    MR Maleki, MR Mili, MR Javan, N Mokari, EA Jorswieck
    Journal Papers , , {Pages }

    Abstract

    Online Service Provisioning in NFV-enabled Networks Using Deep Reinforcement Learning

    A Nouruzi, A Zakeri, MR Javan, N Mokari, R Hussain, AS Kazmi
    Journal Papers , , {Pages }

    Abstract

    AoI Aware Radio Resource Management of Autonomous Platoons via Multi Agent Reinforcement Learning

    M Parvini, MR Javan, N Mokari, BA Arand, EA Jorswieck
    Journal Papers , , {Pages }

    Abstract

    Resource Management for Transmit Power Minimization in UAV-Assisted RIS HetNets Supported by Dual Connectivity

    A Khalili, EM Monfared, S Zargari, MR Javan, N Mokari, EA Jorswieck
    Journal Papers , , {Pages }

    Abstract

    Online Admission Control and Resource Allocation in Network Slicing under Demand Uncertainties

    S Gholamipour, B Akbari, N Mokari, MM Tajiki, EA Jorswieck
    Journal Papers , , {Pages }

    Abstract

    Learning based E2E Energy Efficient in Joint Radio and NFV Resource Allocation for 5G and Beyond Networks

    N Gholipoor, A Nouruzi, S Salarhosseini, MR Javan, N Mokari, ...
    Journal Papers , , {Pages }

    Abstract

    AoI Minimization in Energy Harvesting and Spectrum Sharing Enabled 6G Networks

    AH Zarif, P Azmi, N Mokari, MR Javan, E Jorswieck
    Journal Papers , , {Pages }

    Abstract

    Energy-Efficient Task Offloading Under E2E Latency Constraints

    M Tajallifar, S Ebrahimi, MR Javan, N Mokari, L Chiaraviglio
    Journal Papers , , {Pages }

    Abstract

    AI-Based Secure NOMA and Cognitive Radio enabled Green Communications: Channel State Information and Battery Value Uncertainties

    S Sheikhzadeh, M Pourghasemian, MR Javan, N Mokari, EA Jorswieck
    Journal Papers , , {Pages }

    Abstract

    Optimal Versus CSI-Based SIC Ordering in Downlink Multi-Cell NOMA Systems

    S Rezvani, EA Jorswieck, N Mokari, MR Javan
    Journal Papers , , {Pages }

    Abstract

    Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning

    M Akbari, MR Abedi, R Joda, M Pourghasemian, N Mokari, ...
    Journal Papers , , {Pages }

    Abstract

    AI-Based and Mobility-Aware Energy Efficient Resource Allocation and Trajectory Design for NFV Enabled Aerial Networks

    M Pourghasemian, MR Abedi, S Salarhosseini, N Mokari, MR Javan, ...
    Journal Papers , , {Pages }

    Abstract

    AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning

    M Parvini, MR Javan, N Mokari, B Abbasi, EA Jorswieck
    Journal Papers , , {Pages }

    Abstract

    Dynamic Frame Structure for Next Generation Wireless Networks

    Mohammad R Abedi, Mohammad R Javan, Nader Mokari, Eduard Jorswieck
    Journal PapersarXiv preprint arXiv:2002.00419 , 2020 February 2, {Pages }

    Abstract

    In this paper, we devise a novel radio resource block (RB) structure named dynamic resource block structure (D-RBS) which can handle low latency traffics and large fluctuations in data rates by exploiting smart time and frequency duplexing. In our framework, the main resource block with a predefined bandwidth and time duration is divided into several small blocks with the same bandwidth and time duration. Depending on the service requirements, eg, data rate and latency, the users are assigned to some these small blocks which could be noncontiguous both in frequency and time. This is in contrast to the previously introduced static resource block structure (S-RBS) where the size of each RB is predetermined and fixed. We provide resource alloc

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    • دكتري
      مباحث ويژه (تخصيص منابع در شبكه هاي مخابراتي) ( واحد)
      دانشکده مهندسی برق و کامپیوتر، گروه مخابرات

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    • كارشناسي ارشد
      مباحث ويژه (ساختار و طراحي شبكه هاي بي سيم نسل جديد) ( واحد)
      دانشکده مهندسی برق و کامپیوتر، گروه مخابرات
    • 1398
      پرويني كهنه شهري, محمد
      طول عمر اطلاعات در شبكه هاي نسل ششم مبتني بر برش بندي شبكه
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      ملكي, محمدرضا
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