7 papers
Artificial Intelligence for Spatially Reconfigurable Antennas: Movable, Fluid, and Pinching Antenna Systems
Nguyen Cong Luong, Zeping Sui, Thai-Hoc Vu +10
Recently, sixth-generation (6G) wireless networks have moved beyond fixed-array designs toward antenna architectures that can adapt their spatial configuration to specific environm…
Seeing Through WiFi: Lightweight Human Pose Estimation with Dynamic Kernel Attention
Toan D. Gian, Van-Dinh Nguyen, Vo Phi Son +5
WiFi-based human pose estimation (HPE) enables the detection and interpretation of human body positions and movements without the need for wearable devices while preserving individ…
Oranits: Mission Assignment and Task Offloading in Open RAN-based ITS using Metaheuristic and Deep Reinforcement Learning
Ngoc Hung Nguyen, Nguyen Van Thieu, Quang-Trung Luu +5
In this paper, we explore mission assignment and task offloading in an Open Radio Access Network (Open RAN)-based intelligent transportation system (ITS), where autonomous vehicles…
From Denoising to Decision Making: A Survey on Diffusion Model-Enabled Deep Reinforcement Learning for Wireless Networks
Nguyen Cong Luong, Zeping Sui, Jie Cao +9
Deep reinforcement learning (DRL) has long been a promising solution for sequential resource management in wireless networks. However, conventional DRL methods are fundamentally li…
Energy Efficiency for Massive MIMO Integrated Sensing and Communication Systems
Huy T. Nguyen, Van-Dinh Nguyen, Nhan Thanh Nguyen +5
This paper explores the energy efficiency (EE) of integrated sensing and communication (ISAC) systems employing massive multiple-input multiple-output (mMIMO) techniques to leverag…
Barycentric Coded Distributed Computing with Flexible Recovery Threshold for Collaborative Mobile Edge Computing
Houming Qiu, Kun Zhu, Dusit Niyato +3
Collaborative mobile edge computing (MEC) has emerged as a promising paradigm to enable low-capability edge nodes to cooperatively execute computation-intensive tasks. However, str…