Program Details
| AP Technical Meeting Series 1/2025 | |
| Date | 13 February 2025, 9.30 am – 2.00 pm |
| Topics | Mobile Communication |
| Place | Hybrid Physical: Al-Hidayah Seminar Room, Level 9, Block 5, College of Engineering, Universiti Teknologi MARA Shah Alam Online: Google Meet Platform |
| Sponsors | IEEE Malaysia AP/MTT/EMC Joint Chapter |
| Registration info | If you wish to join the AP Technical Meeting Series held online/hybrid style, please make your registration here < https://forms.gle/eKaEDnUpYXY6yfJP8>, to get the meeting links and details. |
| 9:30 – 10:00 | Breakfast (Coffee/Tea Break) |
| 10:00 – 10:15 | Opening Remarks/Picture |
| 10:15 – 11:30 |  Invited Speaker 1: Prof. Dr. Tharek Abd Rahman (MCMC Academy Advisor) Title: 5G Evolution toward 6G Abstract: The talk will provide the understanding of the evolution of 5G technology, covering technological advancements, spectrum requirements, and architectural components of 5G. It will also include the development standards, key capabilities, 5G applications and look ahead to the development of 6G technology. The talk also includes the recognition of the numerous opportunities offered by 5G and the role of advanced technologies in enabling social and economic development. |
| 11:30 – 11:45 | Speaker 1: Badrul Amin Bin Azahari (Universiti Teknologi Malaysia, UTM) Title: Undersea Dipole Antenna Design and Radio Propagation Analysis at 1MHz Abstract: In the undersea radio wave communication, very low frequency around 1MHz will be used for overcome a large propagation attenuation due to seawater conductivity σ=4 S/m. In this paper, radio wave propagation and antenna performances are clarified by electromagnetic simulations. First of all, half wavelength dipole antenna is placed in a water with zero conductivity, then antenna impedance, gain and electric power propagation is clarified. Next, antenna surrounding condition is changed to undersea condition, and power density degradation at a distance is obtained. Through comparing with theoretical value, adequateness of antenna performances and propagation attenuation are compared. |
| 11:45 – 12:00 | Speaker 2: Dr Mehran Behjati (Sunway University) Title: Empirical Channel Modeling for Cellular-Connected UAVs: A Machine Learning-Based Approach Abstract: As the adoption of unmanned aerial vehicles (UAVs) in mobile communication systems accelerates, understanding Air-to-Ground (A2G) channel behavior becomes critical for enhancing connectivity and network performance. This talk presents an empirical study on A2G channel modeling for cellular-connected UAVs, conducted using an extensive aerial drive test within an LTE network. The study leverages over 95,000 measurement samples collected during 27 hours of UAV flight, providing a comprehensive dataset for machine learning applications. We propose a novel triple-layer machine learning framework for accurately predicting key performance indicators (KPIs) such as RSRP, RSRQ, RSSI, and path loss, using minimal input features like distance, azimuth angle, and elevation angle. By combining a stepwise linear model (STW), ensemble of bagged trees (EBT), and Gaussian Process Regression (GPR), the framework achieves a remarkable 97% prediction accuracy, offering a practical and scalable solution for aerial communications. Key contributions include: 1. Release of an open dataset for the research community, enabling further advancements in UAV communication studies. 2. Statistical analysis of cellular network KPIs in aerial scenarios, bridging measurement-based insights with practical applications. 3. Development of robust channel models tailored to the unique propagation characteristics of mobile systems. 4. This work highlights the potential of machine learning to address the challenges of UAV connectivity, paving the way for enhanced reliability and performance in mobile networks. |
| 12:00 – 12:15 | Speaker 3: Muhammad Ubaid Ullah (Universiti Malaya, UM) Title: Development of Planar and Conformal Coding Metasurfaces for Radar Cross-Section Reduction Abstract: Stealth technology plays a pivotal role in military and defense applications by reducing radar cross-section (RCS) to enhance operational effectiveness and survivability across air, land, and sea platforms. This research focuses on the development of advanced metasurfaces to minimize radar signatures through innovative designs suitable for both planar and conformal applications. The study begins with an introduction to RCS reduction techniques, encompassing traditional methods such as shaping and radar-absorbing materials (RAM) alongside recent advancements utilizing metamaterials. A comprehensive analysis highlights scattering, absorption, and phase manipulation as key mechanisms for RCS reduction, emphasizing active and passive configurations. Two metasurface designs are proposed with a 1-bit planar metasurface achieving a 10 dB RCS reduction and a 2-bit planar metasurface demonstrating up to 20 dB reduction over wide frequency ranges. The broadband coding metasurfaces incorporate diffusion, specular reflection, and absorption, optimized using advanced algorithms, with the annealing algorithm proving most effective. The PB-phase metasurface demonstrates superior phase control, converting incident waves into cross-polarized waves with high polarization conversion efficiency. Experimental validation confirms alignment with simulated results, showcasing the practical feasibility of these metasurfaces for stealth applications. Additionally, ongoing work on conformal metasurfaces highlights their potential to meet the growing demand for adaptable, low-RCS designs in complex geometries. This research provides a significant contribution to the field of stealth technology, advancing the integration of metasurfaces into next-generation stealth platforms. |
| 12:15 – 12:30 | Closing Remarks |
| 12:30 – 14:00 | Lunch/End |