232 citations · 266 across the 15 of their papers we have counts for
17 papers
JEPA for AI-Native 6G: Predictive Representations and Open Challenges
Sheikh Salman Hassan, Irshad A. Meer, Almoatssimbillah Saifaldawla +9
Sixth-generation (6G) networks are moving toward AI-native operation, where learning modules are embedded across the radio access network (RAN), edge, and core. This transition req…
Resilience Optimization in 6G and Beyond Integrated Satellite-Terrestrial Networks: A Deep Reinforcement Learning Approach
Dinh-Hieu Tran, Nguyen Van Huynh, Van Nhan Vo +3
Ensuring network resilience in 6G and beyond is essential to maintain service continuity during base station (BS) outages due to failures, disasters, attacks, or energy-saving oper…
Pinching Antenna Systems versus Reconfigurable Intelligent Surfaces in mmWave
Mostafa Samy, Hayder Al-Hraishawi, Madyan Alsenwi +3
Flexible and intelligent antenna designs, such as pinching antenna systems and reconfigurable intelligent surfaces (RIS), have gained extensive research attention due to their pote…
Network Digital Twin for 6G and Beyond: An End-to-End View Across Multi-Domain Network Ecosystems
Dinh-Hieu Tran, Nazar Waheed, Yuris Mulya Saputra +12
With the rapid development of technology, the number of smart mobile users is increasing, accompanied by growing demands from applications such as virtual/augmented reality (VR/XR)…
Low-Complexity Channel Estimation Protocol for Non-Diagonal RIS-Assisted Communications
Mostafa Samy, Hayder Al-Hraishawi, Abuzar B. M. Adam +3
Non-diagonal reconfigurable intelligent surfaces (RISs) offer enhanced wireless signal manipulation over conventional RIS by enabling the incident signal on any of its elements…
Joint Beamforming and Trajectory Optimization for Multi-UAV-Assisted Integrated Sensing and Communication Systems
Yan Kyaw Tun, Nway Nway Ei, Sheikh Salman Hassan +4
In this paper, we investigate beamforming design and trajectory optimization for a multi-unmanned aerial vehicle (UAV)-assisted integrated sensing and communication (ISAC) system.…
Digital Twin for Non-Terrestrial Networks: Vision, Challenges, and Enabling Technologies
Hayder Al-Hraishawi, Madyan Alsenwi, Junaid ur Rehman +2
This paper investigates the transformative potential of digital twin (DT) technology for non-terrestrial networks (NTNs). NTNs, comprising airborne and space-borne elements, face u…
Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing
Yan Kyaw Tun, Tri Nguyen Dang, Kitae Kim +3
Recently, unmanned aerial vehicles (UAVs) assisted multi-access edge computing (MEC) systems emerged as a promising solution for providing computation services to mobile users outs…
Ruin Theory for User Association and Energy Optimization in Multi-access Edge Computing
Do Hyeon Kim, Aunas Manzoor, Madyan Alsenwi +3
In this correspondence, a novel framework is proposed for analyzing data offloading in a multi-access edge computing system. Specifically, a two-phase algorithm, is proposed, inclu…
A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars
Latif U. Khan, Yan Kyaw Tun, Madyan Alsenwi +3
Sixth-Generation (6G)-based Internet of Everything applications (e.g. autonomous driving cars) have witnessed a remarkable interest. Autonomous driving cars using federated learnin…
Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks
Nway Nway Ei, Madyan Alsenwi, Yan Kyaw Tun +2
Unmanned aerial vehicle (UAV)-assisted multi-access edge computing (MEC) has become one promising solution for energy-constrained devices to meet the computation demand and the str…
Latency-sensitive Service Delivery with UAV-Assisted 5G Networks
Shashi Raj Pandey, Kitae Kim, Madyan Alsenwi +3
In this letter, a novel framework to deliver critical spread out URLLC services deploying unmanned aerial vehicles (UAVs) in an out-of-coverage area is developed. To this end, the…
Coexistence Mechanism between eMBB and uRLLC in 5G Wireless Networks
Anupam Kumar Bairagi, Md. Shirajum Munir, Madyan Alsenwi +5
uRLLC and eMBB are two influential services of the emerging 5G cellular network. Latency and reliability are major concerns for uRLLC applications, whereas eMBB services claim for…
Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach
Madyan Alsenwi, Nguyen H. Tran, Mehdi Bennis +3
In this paper, we study the resource slicing problem in a dynamic multiplexing scenario of two distinct 5G services, namely Ultra-Reliable Low Latency Communications (URLLC) and en…
Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach)
Madyan Alsenwi, Kitae Kim, Choong Seon Hong
The minimum frequency-time unit that can be allocated to User Equipments (UEs) in the fifth generation (5G) cellular networks is a Resource Block (RB). A RB is a channel composed o…
eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach
Madyan Alsenwi, Nguyen H. Tran, Mehdi Bennis +2
Ultra Reliable Low Latency Communication (URLLC) is a 5G New Radio (NR) application that requires strict reliability and latency. URLLC traffic is usually scheduled on top of the o…
Hybrid Compression Techniques for EEG Data Based on Lossy/Lossless Compression Algorithms
Madyan Alsenwi, Tawfik Ismail, M. Saeed Darweesh
The recorded Electroencephalography (EEG) data comes with a large size due to the high sampling rate. Therefore, large space and more bandwidth are required for storing and transmi…