Multi-agent reinforcement learning-based resource allocation for UAV networks

J Cui, Y Liu, A Nallanathan - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are capable of serving as aerial base stations (BSs) for
providing both cost-effective and on-demand wireless communications. This article …

Qoe-aware decentralized task offloading and resource allocation for end-edge-cloud systems: A game-theoretical approach

Y Chen, J Zhao, Y Wu, J Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the limited computing resource and battery capability at the mobile devices, the
computation-intensive tasks generated by mobile devices can be offloaded to edge servers …

Dynamic computation offloading for mobile cloud computing: A stochastic game-theoretic approach

J Zheng, Y Cai, Y Wu, X Shen - IEEE Transactions on Mobile …, 2018 - ieeexplore.ieee.org
Driven by the growing popularity of mobile applications, mobile cloud computing has been
envisioned as a promising approach to enhance computation capability of mobile devices …

A comprehensive survey of potential game approaches to wireless networks

K Yamamoto - IEICE Transactions on Communications, 2015 - search.ieice.org
Potential games form a class of non-cooperative games where the convergent of unilateral
improvement dynamics is guaranteed in many practical cases. The potential game approach …

A survey on QoE-oriented wireless resources scheduling

I Sousa, MP Queluz, A Rodrigues - Journal of Network and Computer …, 2020 - Elsevier
Future wireless systems are expected to provide a wide range of services to more and more
users. Advanced scheduling strategies thus arise not only to perform efficient radio resource …

Joint multi-user computation offloading and data caching for hybrid mobile cloud/edge computing

X Yang, Z Fei, J Zheng, N Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we investigate a hybrid mobile cloud/edge computing system with coexistence
of centralized cloud and mobile edge computing, which enables computation offloading and …

A multi-agent collaborative environment learning method for UAV deployment and resource allocation

Z Dai, Y Zhang, W Zhang, X Luo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The dynamic position deployment and resource allocation of the unmanned aerial vehicle
(UAV) communication networks has great significance in terms of interference management …

QoE-based resource allocation for multi-cell NOMA networks

J Cui, Y Liu, Z Ding, P Fan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Quality of experience (QoE) is an important indicator in the fifth generation (5G) wireless
communication systems. For characterizing user-base station (BS) association, subchannel …

Bayesian Stackelberg game for antijamming transmission with incomplete information

L Jia, F Yao, Y Sun, Y Niu, Y Zhu - IEEE Communications …, 2016 - ieeexplore.ieee.org
The smart jammers pose a severe threat to wireless communications due to their abilities of
learning the users' transmission strategies. A Stackelberg game can be formulated to model …

POMT: Paired offloading of multiple tasks in heterogeneous fog networks

Y Yang, Z Liu, X Yang, K Wang… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
By providing shared and flexible communication, computation, and storage resources along
the cloud-to-things continuum, fog computing has become an attractive technology to …