On Using Monte-Carlo Tree Search to Solve Puzzles
Solving puzzles has become increasingly important in artificial intelligence research since the solutions could be directly applied to real-world or general problems […]
Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication
In this article, we study the problem of air-to-ground ultra-reliable and low-latency communication (URLLC) for a moving ground user. This is done […]
Performance of wireless body area networks for health
This paper deals with a comparative analysis of the performances of two different communications standards for wireless body area networks (WBAN): ETSI […]
Secure Hybrid RF/VLC under Statistical Queuing Constraints
This paper evaluates the effective capacity and maximum average arrival rate of a hybrid radio frequency (RF) and visible light communication (VLC) […]
On the UWB WBAN Radio Channel Research
In this paper, radio signal propagation characteristics for ultra wideband (UWB) signal is discussed in a wireless body area network (WBAN) context. […]
ETSI SmartBAN in Medical IoT
In this paper, we are briefly discussing on the ETSI SmartBAN standard and its utilization in medical Internet of Things (mIoT) applications. […]
Source-Aware Packet Management for Computation-Intensive Status Updating
We consider a multi-source status update system consisting of two independent sources and one server. The packets of different sources are generated […]
Adversarial learning and decomposition-based domain generalization for face anti-spoofing
Face anti-spoofing (FAS) plays a critical role in the face recognition community for securing the face presentation attacks. Many works have been […]
Latency Constrained Simultaneous Wireless Information and Power Transfer
This paper studies a power splitting (PS)-based simultaneous wireless information and power transfer (SWIPT) multi-user system. Specifically, an optimization problem is formulated […]
Hierarchical Bayesian-based Indoor Positioning Using Distributed Antenna Systems
This work proposes and evaluates hierarchical Bayesian-based localization methods to estimate the position of a target node in indoor deployment scenarios. The […]