Joint Interdependent Task Scheduling and Energy Balancing for Multi-UAV-Enabled Aerial Edge Computing: A Multiobjective Optimization Approach

X Huang, C Peng, Y Wu, J Kang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
To provide a dependency-aware application, multiple unmanned aerial vehicles (UAVs) are
employed to serve a ground user with a set of interdependent tasks. This leads to a new …

Joint information-theoretic secrecy and covertness for UAV-assisted wireless transmission with finite blocklength

P Liu, Z Li, J Si, N Al-Dhahir… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, we study a novel joint information-theoretic secrecy and covertness model for
an unmanned aerial vehicle (UAV)-assisted finite blocklength transmission system, in which …

Analysis of Unmanned Aerial Vehicle-Assisted Cellular Vehicle-to-Everything Communication Using Markovian Game in a Federated Learning Environment

X Fernando, A Gupta - Drones, 2024 - mdpi.com
The paper studies a game theory model to ensure fairness and improve the communication
efficiency in an unmanned aerial vehicle (UAV)-assisted cellular vehicle-to-everything (C …

Multi-BD symbiotic radio-aided 6G IoT network: Energy consumption optimization with QoS constraint approach

RS Yeganeh, MJ Omidi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The commensal symbiotic radio (CSR) system is proposed as a novel solution for
connecting systems through green communication networks. This system enables us to …

Joint Resource Allocation and Trajectory Design for Energy-Efficient UAV Assisted Networks With User Fairness Guarantee

J Wang, H Zhang, X Zhou, W Liu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
This work explores the utilization of rotary-wing unmanned aerial vehicles (UAV) as aerial
base station to provide downlink data services to ground users. The objective is to maximize …

Latency-aware placement of vehicular metaverses using virtual network functions

FA AlKhoori, LU Khan, M Guizani, M Takac - Simulation Modelling Practice …, 2024 - Elsevier
Recent unprecedented trend towards novel vehicular network applications (eg, lane change
assistance, collision avoidance, accident reporting, and infotainment) led to research …

[PDF][PDF] Efficiency Assessment of the Permutation-Based Frame Synchronization Method

J Al-Aazzeh, E Faure, M Makhynko… - International Journal …, 2023 - researchgate.net
The objective of this study is to assess comparatively the efficiency of the permutation-based
frame synchronization method for the syncword length of 16 and 8 elements. The proposed …

Optimization Theory and Deep Learning Based Resource Allocation in Net-Zero-Energy Networks With Short Packets

AG Onalan, S Coleri - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
Net-zero-energy networks enable IoT applications by balancing harvested and consumed
energy when the connection to the electric grid or changing batteries is not feasible for the …

Outage Performance Analysis of STAR-RIS Assisted CR-NOMA Networks

S Wang, B Lian, X Gao, X Li… - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
To achieve low-cost, low energy consumption green Internet of Things (IoT) communication
and meet 360 o area full-coverage, we propose a novel simultaneously transmitting and …

MG2FL: Multi-Granularity Grouping-Based Federated Learning in Green Edge Computing Systems

Z Dai, Y Zhao, C Qiu, X Wang… - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
Federated Learning (FL) has become a common method for edge devices. Due to the
limited energy capacity of edge devices, and the vulnerability of FL to malicious attacks from …