A comprehensive review on edge caching from the perspective of total process: Placement, policy and delivery
H Wu, Y Fan, Y Wang, H Ma, L Xing - Sensors, 2021 - mdpi.com
With the explosive growth of smart devices and mobile applications, mobile core networks
face the challenge of exponential growth in traffic and computing demand. Edge caching is …
face the challenge of exponential growth in traffic and computing demand. Edge caching is …
Autonomous tracking using a swarm of UAVs: A constrained multi-agent reinforcement learning approach
In this paper, we aim to design an autonomous tracking system for a swarm of unmanned
aerial vehicles (UAVs) to localize a radio frequency (RF) mobile target. In the system, UAVs …
aerial vehicles (UAVs) to localize a radio frequency (RF) mobile target. In the system, UAVs …
UAV caching in 6G networks: A Survey on models, techniques, and applications
The rapid development road map of 6G networks has posed a new set of challenges to both
industrial and academic sectors. On the one hand, it needs more disruptive technologies …
industrial and academic sectors. On the one hand, it needs more disruptive technologies …
Joint trajectory design and BS association for cellular-connected UAV: An imitation-augmented deep reinforcement learning approach
YJ Chen, DY Huang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
This article concerns the problem of the trajectory design and base station (BS) association
for cellular-connected unmanned aerial vehicles (UAVs). To support safety-critical functions …
for cellular-connected unmanned aerial vehicles (UAVs). To support safety-critical functions …
Deep reinforcement learning-based mobility-aware UAV content caching and placement in mobile edge networks
S Anokye, D Ayepah-Mensah, AM Seid… - IEEE Systems …, 2021 - ieeexplore.ieee.org
With the proliferation of smart mobile devices, there is now an ever increasing craving for
higher bandwidth for end user satisfaction. Increasing mobile traffic leads to congestion of …
higher bandwidth for end user satisfaction. Increasing mobile traffic leads to congestion of …
UAV-assisted edge caching under uncertain demand: A data-driven distributionally robust joint strategy
Unmanned aerial vehicle (UAV) assisted edge caching has been emerged as a promising
solution to alleviate network congestion, which can provide users with their desired contents …
solution to alleviate network congestion, which can provide users with their desired contents …
Multi-agent reinforcement learning based 3D trajectory design in aerial-terrestrial wireless caching networks
This paper investigates a dynamic 3D trajectory design of multiple cache-enabled
unmanned aerial vehicles (UAVs) in a wireless device-to-device (D2D) caching network with …
unmanned aerial vehicles (UAVs) in a wireless device-to-device (D2D) caching network with …
UAV assisted cooperative caching on network edge using multi-agent actor-critic reinforcement learning
In recent times, caching at edge nodes is a well-known technique to overcome the limitation
of strict latency, which simultaneously improves users' Quality of Experience (QoE) …
of strict latency, which simultaneously improves users' Quality of Experience (QoE) …
Adaptive edge caching in UAV-assisted 5G network
Unmanned aerial vehicles (UAVs) with communication, computing, and storage capabilities
have high mobility. Based on this advantage, it can push the service closer to the user. Our …
have high mobility. Based on this advantage, it can push the service closer to the user. Our …
Cost-efficient UAV deployment and content placement for cellular systems with D2D communications
Caching content at base stations (BSs), specific user devices, and unmanned aerial vehicles
(UAVs) has the potential to significantly enhance the content fetching performance of …
(UAVs) has the potential to significantly enhance the content fetching performance of …