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Data collection and wireless communication in Internet of Things (IoT) using economic analysis and pricing models: A survey
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 …
models for data collection and wireless communication in Internet of Things (IoT). Wireless …
Layering as optimization decomposition: A mathematical theory of network architectures
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 …
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
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 …
network, where the UAV executes computational tasks offloaded from mobile terminal users …
Optimal resource allocation in coordinated multi-cell systems
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 …
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
This paper presents a comprehensive literature review on applications of economic and
pricing models for resource management in cloud networking. To achieve sustainable profit …
pricing models for resource management in cloud networking. To achieve sustainable profit …
Radio resource allocation in LTE-advanced cellular networks with M2M communications
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 …
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
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 …
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
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 …
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 …
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
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 …
received signal strength. We first formulate the localization problem as the intersection …