Cooperative relative localization for UAV swarm in GNSS-denied environment: A coalition formation game approach

L Ruan, G Li, W Dai, S Tian, G Fan… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) swarms require accurate relative localization to safeguard
flight missions in the global navigation satellite system-denied environment due to a lack of …

Cognitive UAV-aided URLLC and mMTC services: Analyzing energy efficiency and latency

SR Sabuj, A Ahmed, Y Cho, KJ Lee, HS Jo - IEEE Access, 2020 - ieeexplore.ieee.org
The integration of unmanned aerial vehicles (UAVs) into spectrum sensing cognitive
communication networks can offer many benefits for massive connectivity services in 5G …

Joint computation offloading, channel access and scheduling optimization in UAV swarms: A game-theoretic learning approach

R Chen, L Cui, M Wang, Y Zhang, K Yao… - IEEE Open Journal …, 2021 - ieeexplore.ieee.org
Coalition-based unmanned aerial vehicle (UAV) swarms havebeen widelyused in urgent
missions. To fasten the completion, mobile edge computing (MEC) has been introduced into …

Analysis of joint relay selection and resource allocation scheme for relay-aided D2D communication networks

C Tian, Z Qian, X Wang, L Hu - IEEE Access, 2019 - ieeexplore.ieee.org
Device-to-device (D2D) communications, as one of the promising technology for the future
network, allow two devices in proximity to communicate directly with each other to alleviate …

Joint channel access and power control optimization in large-scale UAV networks: a hierarchical mean field game approach

R Chen, J Chen, H Wang, X Tong, Y Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the development of the new generation communications, unmanned aerial vehicle
base stations (UAV-BSs) have been widely used to enhance the terrestrial communications …

Distributed joint optimization of deployment, computation offloading and resource allocation in coalition-based UAV swarms

K Yao, Y Xu, J Chen, Y Gong, Y Yang… - 2020 International …, 2020 - ieeexplore.ieee.org
Different from terrestrial networks where mobile edge computing (MEC) servers are fixed,
UAVs can move around to change the channel quality between servers and terminals, and …

Evolution of random access process: From Legacy networks to 5G and beyond

WT Toor, A Basit, N Maroof, SA Khan… - Transactions on …, 2022 - Wiley Online Library
In this paper, we discuss the random access procedures in legacy networks, long‐term
evolution, LTE‐Advanced, and 5G networks. Random access is the first and incumbent step …

Cognitive neighbor discovery with directional antennas in self-organizing IoT networks

W Bai, Y Xu, J Wang, R Xu, A Anpalagan… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
This article investigates the problem of synchronous randomized neighbor discovery with
directional antennas. Due to the long tail effect, it will take long time to discover the last few …

QoE-aware Data Aggregation in MEC-enabled UAV Systems: A Matching Game Approach

W Liu, Y Xu, D Wu, H Wang, X Chu… - 2022 IEEE 8th …, 2022 - ieeexplore.ieee.org
This paper investigates the data aggregation problem in a multi-layer mobile edge
computing (MEC)-enabled unmanned aerial vehicle (UAV) systems. When UAV users …

Joint Channel, Power and Bandwidth Optimization for Anti-jamming Communications: A Multi-agent Q-learning Approach

X Zhang, H Wang, L Ruan, Y Xu… - 2021 13th International …, 2021 - ieeexplore.ieee.org
To facilitate external malicious jamming and interference in multi-user anti-jamming
communication networks, in this paper, a novel joint channel, power and bandwidth …