Data collection and wireless communication in Internet of Things (IoT) using economic analysis and pricing models: A survey

NC Luong, DT Hoang, P Wang, D Niyato… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
This paper provides a state-of-the-art literature review on economic analysis and pricing
models for data collection and wireless communication in Internet of Things (IoT). Wireless …

Layering as optimization decomposition: A mathematical theory of network architectures

M Chiang, SH Low, AR Calderbank… - Proceedings of the …, 2007 - ieeexplore.ieee.org
Network protocols in layered architectures have historically been obtained on an ad hoc
basis, and many of the recent cross-layer designs are also conducted through piecemeal …

Path planning for UAV-mounted mobile edge computing with deep reinforcement learning

Q Liu, L Shi, L Sun, J Li, M Ding… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this letter, we study an unmanned aerial vehicle (UAV)-mounted mobile edge computing
network, where the UAV executes computational tasks offloaded from mobile terminal users …

Optimal resource allocation in coordinated multi-cell systems

E Björnson, E Jorswieck - Foundations and Trends® in …, 2013 - nowpublishers.com
The use of multiple antennas at base stations is a key component in the design of cellular
communication systems that can meet high-capacity demands in the downlink. Under ideal …

Resource management in cloud networking using economic analysis and pricing models: A survey

NC Luong, P Wang, D Niyato, Y Wen… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
This paper presents a comprehensive literature review on applications of economic and
pricing models for resource management in cloud networking. To achieve sustainable profit …

Radio resource allocation in LTE-advanced cellular networks with M2M communications

K Zheng, F Hu, W Wang, W **ang… - IEEE communications …, 2012 - ieeexplore.ieee.org
Machine-to-machine (M2M) communications are expected to provide ubiquitous connectivity
between machines without the need of human intervention. To support such a large number …

Joint quantum reinforcement learning and stabilized control for spatio-temporal coordination in metaverse

S Park, J Chung, C Park, S Jung, M Choi… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In order to build realistic metaverse systems, enabling high synchronization between
physical-space and virtual meta-space is essentially required. For this purpose, this paper …

Multi-UAV mobile edge computing and path planning platform based on reinforcement learning

H Chang, Y Chen, B Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Unmanned Aerial vehicles (UAVs) are widely used as network processors in mobile
networks, but more recently, UAVs have been used in Mobile Edge Computing as mobile …

[KNJIGA][B] Optimal design of queueing systems

S Stidham Jr - 2009 - taylorfrancis.com
The First Comprehensive Book on the SubjectFocusing on the underlying structure of a
system, Optimal Design of Queueing Systems explores how to set the parameters of a …

Distributed projection-based algorithms for source localization in wireless sensor networks

Y Zhang, Y Lou, Y Hong, L **e - IEEE Transactions on Wireless …, 2015 - ieeexplore.ieee.org
In this paper, we investigate source localization for wireless sensor networks based on
received signal strength. We first formulate the localization problem as the intersection …