M.Eng. Sifat Rezwan

PhD Researcher

Sifat Rezwan received his B.Sc. degree in Electrical and Electronic Engineering from North South University, Bangladesh, in 2018. Then, he obtained his M.Eng. degree in Computer Engineering from Chosun University, South Korea, in 2022. During 2019–2020, he was with Grameenphone Ltd. (Telenor group), where he was involved in transmission network operations and automation and received the top performer award in 2020. He is currently pursuing his Ph.D. at Technische Universität Dresden.

Contact

Office: I/40, “Barkhausenbau (BAR)“, Georg-Schumann-Str. 11, 01187 Dresden, Germany.
Email: sifat.rezwan@tu-dresden.de

Phone: +49 351 463-40857

Research interests

  • Post-Shannon communication methods
  • Network Functional Compression
  • Resource optimization for 5G and 6G networks
  • In-network computing
  • Artificial intelligence in wireless networks

He is currently working with Post-Shannon communication to increase the network capacity with functional compression and in-network computing.

Review service

  • Reviewer IEEE European Wireless 2022
  • Reviewer IEEE Communications Letters
  • Reviewer IEEE Internet of Things Journal

Publications

18 entries « 1 of 2 »

2023

Rezwan, Sifat; Wu, Huanzhuo; Cabrera, Juan A.; Nguyen, Giang T.; Reisslein, Martin; Fitzek, Frank H. P.

cXR+ Voxel-Based Semantic Compression for Networked Immersion Journal Article

In: IEEE Access, vol. 11, pp. 52763-52777, 2023.

Links | BibTeX

Rezwan, Sifat; Cabrera, Juan A.; Fitzek, Frank H. P.

Functional Compression for Networked Applications in Practice Proceedings Article

In: European Wireless (EW), Rome, Italy, 2023, (accepted for publication).

BibTeX

2022

Rezwan, Sifat; Cabrera, Juan A.; Fitzek, Frank H. P.

Network Functional Compression for Control Applications Proceedings Article

In: International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Male, Maldives, 2022.

Links | BibTeX

Choi, Wooyeol; Rezwan, Sifat

TRANSMISSION POWER ALLOCATION METHOD BASED ON USER CLUSTERING AND REINFORCEMENT LEARNING Patent

20220159586, 2022.

Links | BibTeX

Rezwan, Sifat; Choi, Wooyeol

Artificial Intelligence Approaches for UAV Navigation: Recent Advances and Future Challenges Journal Article

In: IEEE Access, vol. 10, pp. 26320-26339, 2022.

Links | BibTeX

2021

Rezwan, Sifat; Choi, Wooyeol

Priority-Based Joint Resource Allocation With Deep Q-Learning for Heterogeneous NOMA Systems Journal Article

In: IEEE Access, vol. 9, pp. 41468-41481, 2021.

Links | BibTeX

Rezwan, Sifat; Choi, Wooyeol

A survey on applications of reinforcement learning in flying ad-hoc networks Journal Article

In: Electronics, vol. 10, no. 4, pp. 449, 2021.

BibTeX

2020

Rezwan, Sifat; Shin, Seokjoo; Choi, Wooyeol

Efficient user clustering and reinforcement learning based power allocation for NOMA systems Proceedings Article

In: 2020 International Conference on Information and Communication Technology Convergence (ICTC), pp. 143–147, IEEE 2020.

BibTeX

Rezwan, Sifat; Choi, Wooyeol

Q-Learning-based Resource Allocation with Priority-based Clustering for Heterogeneous NOMA Systems Proceedings Article

In: The 9th International Conference on Smart Media and Applications, pp. 253–257, 2020.

BibTeX

Rezwan, Sifat; Shin, Seokjoo; Choi, Wooyeol

A Study on Implementation Methods of Reinforcement Learning in NOMA Systems Proceedings Article

In: 한국통신학회 학술대회논문집, pp. 189–190, 2020.

BibTeX

18 entries « 1 of 2 »