Zdenek Becvar

Full Professor

Czech Technical University in Prague

Czech Republic

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About

Zdenek Becvar is an Assistant Professor at the Czech Technical University in Prague, Czech Republic. His research focuses on advanced communication technologies, particularly in the areas of vehicular edge computing, resource allocation, and optimization in mobile networks. Recent contributions include investigations into D2D communication, cooperative deep reinforcement learning, and UAV-integrated network management. His work aims to enhance the efficiency and performance of next-generation communication systems.

Articles (21)

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2025

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2022

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2022

Collaborators (5)

Juraj Gazda

SLOVAKIA

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Pavel Mach

Czech Technical University in Prague

CZECH REPUBLIC

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Onur Mutlu

Carnegie Mellon University

UNITED STATES

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Madhusanka Liyanage

Assistant Professor/Lecturer

Dublin City University

IRELAND

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Ismail Guvenc

Professor

North Carolina State University

UNITED STATES

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Zdenek Becvar

Research Interests

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About

Articles (21)

Mobility-Aware Mode Selection, Relay Selection, and Resource Allocation for D2D Communication

Cooperative Multi-Agent Deep Reinforcement Learning for Dynamic Task Execution and Resource Allocation in Vehicular Edge Computing

Coordinated Learning for Handover Management in 6G Networks with Transparent UAV Relays

ELICA: Efficient and Load Balanced I/O Cache Architecture for Hyperconverged Infrastructures

Intelligent Localization-Based DDPG for UAV-Borne RIS in Vehicular Communication

Joint Management of Communication, Computing, and Storage Resources for Low Latency Vehicular Edge Computing

Offloading of Tasks With Tight Delay Requirements via Combined Half and Full Duplex UAV Relays

Optimization of Placement and Resource Allocation in UAV-Aided Multihop Wireless Networks

Joint Optimization of Communication and Storage Latencies for Vehicular Edge Computing

Allocation of Resources for HARQ Retransmission in Mobile Networks Based on C-RAN

Blockchain-Based Route Selection With Allocation of Radio and Computing Resources for Connected Autonomous Vehicles

Dynamic Clustering for Low-Delay Delivery of Video Content Cached in MEC Servers

Energy Consumption Optimization for UAV Base Stations With Wind Compensation

Optimization of Cell Individual Offset for Handover of Flying Base Stations and Users

Maximization of Minimum User Capacity in UAV-Enabled Mobile Networks With NOMA

Dynamic Clustering for Low-Delay Delivery of Video Content Cached in MEC Servers

On Energy Consumption of Airship-Based Flying Base Stations Serving Mobile Users

Optimization of Total Power Consumed by Flying Base Station Serving Mobile Users

Power Allocation, Channel Reuse, and Positioning of Flying Base Stations With Realistic Backhaul

Optimal Positioning of Flying Base Stations and Transmission Power Allocation in NOMA Networks

Device-to-Device Relaying: Optimization, Performance Perspectives, and Open Challenges Towards 6G Networks

Collaborators (5)

Juraj Gazda

Pavel Mach

Onur Mutlu

Madhusanka Liyanage

Ismail Guvenc

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