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Computer Science

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10289
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Electronics and Electrical Engineering

D-Index
38
Citations
5635
World Ranking
4936
National Ranking
1717

Overview

M. Cenk Gursoy is a researcher affiliated with Syracuse University in the United States. Their work spans multiple fields within engineering and computer science, with a focus on electrical and electronic engineering as well as computer networks and communications. Their research interests include UAV applications and optimization, advanced MIMO systems optimization, and advanced wireless communication technologies, among others.

Gursoy's recent publications reflect a concentration on wireless communication systems, network optimization, and artificial intelligence techniques applied to these domains. Selected recent papers include:

  • Deep Reinforcement Learning-Based Edge Caching in Wireless Networks (2020), published in IEEE Transactions on Cognitive Communications and Networking
  • Learning-Based UAV Path Planning for Data Collection With Integrated Collision Avoidance (2022), published in IEEE Internet of Things Journal
  • Joint Activity Detection and Channel Estimation in Cell-Free Massive MIMO Networks With Massive Connectivity (2021), published in IEEE Transactions on Communications
  • Covert Communication of STAR-RIS Aided NOMA Networks (2024), published in IEEE Transactions on Vehicular Technology
  • Dynamic Channel Access and Power Control in Wireless Interference Networks via Multi-Agent Deep Reinforcement Learning (2021), published in IEEE Transactions on Vehicular Technology

Collaborative work is a prominent feature of their research, often partnering with other scholars. Frequent coauthors with a significant number of joint publications include Senem Velipasalar, Xueyuan Wang, Chen Zhong, Feng Wang, and Yulin Hu.

The primary venues where Gursoy publishes include:

  • arXiv (Cornell University)
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Communications
  • 2021 IEEE Global Communications Conference (GLOBECOM)

The range of topics covered across the publications extends into several specialized subfields. These subfields of study incorporate:

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Aerospace Engineering
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

Key thematic focal points in their research include:

  • UAV Applications and Optimization
  • Advanced MIMO Systems Optimization
  • Advanced Wireless Communication Technologies
  • Distributed Control Multi-Agent Systems
  • Cooperative Communication and Network Coding
  • Energy Harvesting in Wireless Networks
  • Robotic Path Planning Algorithms

Best Publications

  • A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs

    Zhiyuan Xu;Yanzhi Wang;Jian Tang;Jing Wang

  • A deep reinforcement learning-based framework for content caching

    Chen Zhong;M. Cenk Gursoy;Senem Velipasalar

  • Deep Reinforcement Learning based Resource Allocation in Low Latency Edge Computing Networks

    Tianyu Yang;Yulin Hu;M. Cenk Gursoy;Anke Schmeink

  • The noncoherent rician fading Channel-part I: structure of the capacity-achieving input

    M.C. Gursoy;H.V. Poor;S. Verdu

  • Deep Reinforcement Learning-Based Edge Caching in Wireless Networks

    Chen Zhong;M. Cenk Gursoy;Senem Velipasalar

  • Coverage in Heterogeneous Downlink Millimeter Wave Cellular Networks

    Esma Turgut;M. Cenk Gursoy

  • Analysis of energy efficiency in fading channels under QoS constraints

    M.C. Gursoy;Deli Qiao;S. Velipasalar

  • SWIPT-Enabled Relaying in IoT Networks Operating With Finite Blocklength Codes

    Yulin Hu;Yao Zhu;M. Cenk Gursoy;Anke Schmeink

  • Effective Capacity Analysis of Cognitive Radio Channels for Quality of Service Provisioning

    Unknown

  • Collaborative Relay Beamforming for Secrecy

    Unknown

  • A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel Access

    Chen Zhong;Ziyang Lu;M. Cenk Gursoy;Senem Velipasalar

  • Relay beamforming strategies for physical-layer security

    Unknown

  • Downlink Analysis in Unmanned Aerial Vehicle (UAV) Assisted Cellular Networks With Clustered Users

    Esma Turgut;M. Cenk Gursoy

  • Effective Capacity of Two-Hop Wireless Communication Systems

    Deli Qiao;M. C. Gursoy;S. Velipasalar

  • Throughput of Cognitive Radio Systems with Finite Blocklength Codes

    Gozde Ozcan;M. Cenk Gursoy

  • Relaying-Enabled Ultra-Reliable Low-Latency Communications in 5G

    Yulin Hu;M. Cenk Gursoy;Anke Schmeink

  • Throughput analysis of buffer-constrained wireless systems in the finite blocklength regime

    M Cenk Gursoy

  • On the Capacity and Energy Efficiency of Training-Based Transmissions Over Fading Channels

    Unknown

  • On-off frequency-shift keying for wideband fading channels

    Mustafa Cenk Gursoy;H. Vincent Poor;Sergio Verdú

  • Noncoherent Rician fading Channel-part II: spectral efficiency in the low-power regime

    M.C. Gursoy;H.V. Poor;S. Verdu

  • Optimal Power Allocation for QoS-Constrained Downlink Multi-User Networks in the Finite Blocklength Regime

    Yulin Hu;Mustafa Ozmen;M. Cenk Gursoy;Anke Schmeink

  • Energy-Efficient Power Allocation in Cognitive Radio Systems With Imperfect Spectrum Sensing

    Gozde Ozcan;M. Cenk Gursoy;Nghi Tran;Jian Tang

  • Coverage Analysis for Energy-Harvesting UAV-Assisted mmWave Cellular Networks

    Xueyuan Wang;M. Cenk Gursoy

  • Wireless Throughput and Energy Efficiency With Random Arrivals and Statistical Queuing Constraints

    Mustafa Ozmen;M. Cenk Gursoy

  • Coverage in Downlink Heterogeneous mmWave Cellular Networks With User-Centric Small Cell Deployment

    Xueyuan Wang;Esma Turgut;M. Cenk Gursoy

  • Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless Networks

    Chen Zhong;M. Cenk Gursoy;Senem Velipasalar

  • NOMA-Based Energy-Efficient Wireless Powered Communications

    Tewodros Aklilu Zewde;M. Cenk Gursoy

  • Error Rate Analysis of Cognitive Radio Transmissions with Imperfect Channel Sensing

    Gozde Ozcan;M. Cenk Gursoy;Sinan Gezici

  • Deep Actor-Critic Reinforcement Learning for Anomaly Detection

    Chen Zhong;M. Cenk Gursoy;Senem Velipasalar

Frequent Co-Authors

Qinru Qiu
Qinru Qiu Syracuse University
Pramod K. Varshney
Pramod K. Varshney Syracuse University
Jian Tang
Jian Tang Syracuse University
Ismail Guvenc
Ismail Guvenc North Carolina State University
Sinan Gezici
Sinan Gezici Bilkent University
Mehmet C. Vuran
Mehmet C. Vuran University of Nebraska–Lincoln
Yalin E. Sagduyu
Yalin E. Sagduyu Virginia Tech
Rudolf Mathar
Rudolf Mathar RWTH Aachen University

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