Joint resource allocation and 3D aerial trajectory design for video streaming in UAV communication systems

C Zhan, H Hu, X Sui, Z Liu, J Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) can be flexibly deployed to offload cellular traffic or to
provide video services for emergency scenarios without infrastructure. However, the …

Power efficient UAV placement and resource allocation for adaptive video streaming in wireless networks

Z Ahmed, A Ahmad, M Altaf, FA Khan - Ad Hoc Networks, 2023 - Elsevier
Unmanned aerial vehicle (UAV) enabled wireless communication that can transmit/receive
data to/from ground users, especially at cell boundaries or in disaster-stricken areas where …

Computing offloading with fairness guarantee: a deep reinforcement learning method

H Hao, C Xu, W Zhang, S Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Edge computing can reduce service latency and save backhaul bandwidth by completing
services at network edges, providing support for diverse computation-intensive and delay …

A Q-learning driven energy-aware multipath transmission solution for 5G media services

L Zhong, X Ji, Z Wang, J Qin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Supported by the latest evolution of the 5G technologies, Augmented Reality (AR) & Virtual
Reality (VR) video streaming services are experiencing an unprecedented growth. However …

The impact of big data analytics on organizational sustainability: the influencing factors of autonomous research and development and absorptive capacity

M Arshad, C Kun Yu, A Qadir… - International Journal …, 2022 - journals.sagepub.com
This study aims to see how the big data analytics capability (BDAC) and its dimensions
affect the absorptive capacity and autonomous R&D of high-speed railways. As well as their …

Reliable and efficient multimedia service optimization for edge computing-based 5G networks: game theoretic approaches

T Cao, C Xu, J Du, Y Li, H Xiao, C Gong… - … on Network and …, 2020 - ieeexplore.ieee.org
The edge computing-based 5G networks have the advantages in efficiently offloading the
large-scale Internet traffic, which is considered to be a promising architecture to alleviate the …

Augmented queue-based transmission and transcoding optimization for livecast services based on cloud-edge-crowd integration

X Chen, C Xu, M Wang, Z Wu, L Zhong… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, amateur broadcasters can massively generate video contents and stream them
across the Internet. For this reason, crowdsourced livecast services (CLS) are attracting …

Multicast-aware optimization for resource allocation with edge computing and caching

H Hao, C Xu, S Yang, L Zhong, GM Muntean - Journal of Network and …, 2021 - Elsevier
Mobile edge computing (MEC) is rising as a key technology for computation-intensive and
delay-sensitive applications. Many works have focused on MEC, but most of them only …

A multi-update deep reinforcement learning algorithm for edge computing service offloading

H Hao, C Xu, L Zhong, GM Muntean - Proceedings of the 28th ACM …, 2020 - dl.acm.org
By pushing computing functionalities to network edges, backhaul network bandwidth is
saved and various latency requirements are met, providing support for diverse computation …

Aerial video streaming over 3D cellular networks: An environment and channel knowledge map approach

C Zhan, H Hu, Z Liu, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Aerial video streaming is a promising application of unmanned aerial vehicles (UAVs),
which extends video service from ground to three-dimensional (3D) airspaces. However …