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 …
flight missions in the global navigation satellite system-denied environment due to a lack of …
Map-based channel modeling and generation for U2V mmWave communication
Unmanned aerial vehicle (UAV) aided millimeter wave (mmWave) technologies have a
promising prospect in the future wireless communication networks. By considering the …
promising prospect in the future wireless communication networks. By considering the …
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 …
missions. To fasten the completion, mobile edge computing (MEC) has been introduced into …
Optimal transmission probabilities of information and artificial noise in covert communications
This letter studies a wireless covert communication system, where a jammer generating
intermittent artificial noise (AN) is employed to confuse the warden. The transmission …
intermittent artificial noise (AN) is employed to confuse the warden. The transmission …
Joint channel and power optimisation for multi‐user anti‐jamming communications: A dual mode Q‐learning approach
In view of the anti‐tracking‐jamming problem, traditional online learning methods usually
cannot analyse the jamming behaviour, and find an effective way to prevent the jamming …
cannot analyse the jamming behaviour, and find an effective way to prevent the jamming …
Performance modelling and quantitative analysis of vehicular edge computing with bursty task arrivals
The quantitative performance analysis plays a critical role in assessing the capability of
vehicular edge computing (VEC) systems to meet the requirements of vehicular applications …
vehicular edge computing (VEC) systems to meet the requirements of vehicular applications …
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 …
UAVs can move around to change the channel quality between servers and terminals, and …
[PDF][PDF] Security Services for Wireless 5G Internet of Things (IoT) Systems
Abstract The Internet of Things (IoT) is an emerging field that has evolved in recent past
years and tends to have a major effect on our lives in the coming future. The development of …
years and tends to have a major effect on our lives in the coming future. The development of …
MDC enhanced IoT networks: Network modeling and performance analysis
As a promising architecture, Mobile Data Collector (MDC) enhanced Internet of Things (IoT)
exhibits broad prospects in efficient data collection and data aggregation especially for …
exhibits broad prospects in efficient data collection and data aggregation especially for …
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 …
directional antennas. Due to the long tail effect, it will take long time to discover the last few …