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About

About

He is a C++, Python, Matlab developer, telecommunications researcher, and IEEE paper reviewer. He taught at several universities as a professor for 18 years. He taught variant courses in telecommunication, networking, and programming, such as ML, AI, Electronic Circuits, and Networks.

His research focused on the Telecommunications Network area, particularly wireless technology, cellular networks as part of 5G and 6G, Aerial Networks, and Airborne Communications.

He has 18 years of experience in teaching, research, and Software development in public and private universities and research institutes. Founder, CEO, and Chairman of the Board of Directors of Hiva Sanaat Noor R&D Institute. He was an organizer and lecturer of specialized courses in the field of Telecommunications and Programming. Also, he was the organizer and keynote speaker of several workshops and seminars in his area; such as methods of researching, compiling papers, publishing, Programming Languages, and Technical Applications in Machine Learning and Artificial Intelligence.

he was director and Supervisor of the Research center of the Telecommunication Company of Iran. Skilled in GPON, Management, Fiber to the Home (FTTH), and Wireless network Communications.

He is the Author of several books, articles, and manuals for specialized laboratories in the field of Electronics and Telecommunications. Regarding industrial experience, he was the Head of the Huawei Digital Switching Research Center and a senior specialist in PSDN Switching. Furthermore, he has deep knowledge of Computer Networks, Traffic Monitoring, Security Management, and Network Development Programming.

https://www.webofscience.com/wos/author/record/AAA-8400-2022

https://orcid.org/0000-0001-6211-7923

Interest
Topics
Details

Details

  • Name

    Kamran Shafafi
  • Role

    Research Assistant
  • Since

    01st December 2021
Publications

2023

UAV-Assisted Wireless Communications: An Experimental Analysis of A2G and G2A Channels

Authors
Shafafi, K; Almeida, EN; Coelho, A; Fontes, H; Ricardo, M; Campos, R;

Publication
Simulation Tools and Techniques - 15th EAI International Conference, SIMUtools 2023, Seville, Spain, December 14-15, 2023, Proceedings

Abstract
Unmanned Aerial Vehicles (UAVs) offer promising potential as communications node carriers, providing on-demand wireless connectivity to users. While existing literature presents various wireless channel models, it often overlooks the impact of UAV heading. This paper provides an experimental characterization of the Air-to-Ground (A2G) and Ground-to-Air (G2A) wireless channels in an open environment with no obstacles nor interference, considering the distance and the UAV heading. We analyze the received signal strength indicator and the TCP throughput between a ground user and a UAV, covering distances between 50 m and 500 m, and considering different UAV headings. Additionally, we characterize the antenna’s radiation pattern based on UAV headings. The paper provides valuable perspectives on the capabilities of UAVs in offering on-demand and dynamic wireless connectivity, as well as highlights the significance of considering UAV heading and antenna configurations in real-world scenarios.

2023

Joint Traffic and Obstacle-aware UAV Positioning Algorithm for Aerial Networks

Authors
Shafafi, K; Coelho, A; Campos, R; Ricardo, M;

Publication
2023 IEEE 9TH WORLD FORUM ON INTERNET OF THINGS, WF-IOT

Abstract
Unmanned Aerial Vehicles (UAVs) are increasingly used as cost-effective and flexible Wi-Fi Access Points (APs) and cellular Base Stations (BSs) to enhance Quality of Service (QoS). In disaster management scenarios, UAV-based networks provide on-demand wireless connectivity when traditional infrastructures fail. In obstacle-rich environments like urban areas, reliable high-capacity communications links depend on Line-of-Sight (LoS) availability, especially at higher frequencies. Positioning UAVs to consider obstacles and enable LoS communications represents a promising solution that requires further exploration and development. The main contribution of this paper is the Traffic- and Obstacle-aware UAV Positioning Algorithm (TOPA). TOPA takes into account the users' traffic demand and the need for LoS between the UAV and the ground users in the presence of obstacles. The network performance achieved when using TOPA was evaluated through ns-3 simulations. The results show up to 100% improvement in the aggregate throughput without compromising fairness.

2009

Optimizing the pictorial compacted data detection process for working at the noisy environment, using reversible symmetrical codes

Authors
Shafafi K.; Samanfar A.; Saremian E.; Moradtalab O.;

Publication
2009 International Conference on Information and Multimedia Technology, ICIMT 2009

Abstract
Variable-length codes, using source statistical features, improve the encoding. However, using these codes can results in error propagation in bit string transmitted to noisy transmission environments. This paper has used reversible symmetrical codes in the bit string obtained from JPEG compressor in order to overcome this problem. several examples of reversible code design algorithm have been reviewed and a symmetrical code based on Huffman code has been analyzed and deigned for JPEG compressor Jpeg compressor has been simulated by Huffman standard code and by reversible symmetrical code and the amount of their compression has been compared for several pictures Also, optimization of detection trend in noisy condition has been displayed. © 2009 IEEE.