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13 Result(s)
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Book
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Chapter
Licensed and Unlicensed Spectrum Management for Energy-Efficient Cognitive M2M
Edge computing has emerged as a promising solution for relieving the tension between resource-limited MTDs and computational-intensive tasks. To realize successful task offloading with limited spectrum, we foc...
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Chapter
Summary
In this book, the technologies and applications of green IoT have been studied. Some physical-layer techniques and cross-layer optimization methods on wireless resource allocation and energy management have be...
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Chapter
Software Defined Machine-to-Machine Communication for Smart Energy Management in Power Grids
The successful realization of smart energy management relies on ubiquitous and reliable information exchange among millions of sensors and actuators deployed in the field with little or no human intervention. ...
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Chapter
Energy-Efficient Resource Allocation for Wireless Powered Massive MIMO System with Imperfect CSI
In this chapter, we propose an energy-efficient resource allocation scheme for a wireless power transfer (WPT) enabled multi-user massive MIMO system with imperfect channel estimation. In the considered system...
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Chapter
Introduction
IoT lays the foundation for the next new industrial revolution that links the Internet with everyday physical objects. It creates a world-wide network of interconnected things that can exchange information amo...
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Chapter
Energy-Efficient M2M Communications in for Industrial Automation
M2M communication with autonomous data acquisition and exchange plays a key role in realizing the “control”-oriented tactile Internet (TI) applications such as industrial automation. In this chapter, we develo...
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Energy-Efficient and Secure Resource Allocation for Multiple-Antenna NOMA with Wireless Power Transfer
NOMA is considered as one of the promising techniques for providing high data rates in the fifth generation mobile communication. By applying successive interference cancellation schemes and superposition codi...
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Energy-Efficient Resource Allocationin for D2D Enabled Cellular Networks
Energy-efficiency (EE) is critical for D2D enabled cellular networks due to limited battery capacity and severe co-channel interference. In this chapter, we address the EE optimization problem by adopting a st...
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Energy-Efficient Context-Aware Resource Allocation for Edge-Computing-Empowered Industrial IoT
Edge computing provides a promising paradigm to support the implementation of industrial Internet of Things (IIoT) by offloading computational-intensive tasks from resource-limited machine-type devices (MTDs) ...
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Chapter
Energy-Efficient Task Assignment and Route Planning for UAV
With increasing popularity of UAVs, it is foreseen that they will play an important role in broadening the horizon of mobile crowd sensing (MCS). Specifically, UAV-aided MCS allows autonomous data collection a...
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Chapter
Energy Harvesting Enabled Energy Efficient Cognitive Machine-to-Machine Communications
Energy harvesting based cognitive machine-to-machine (EH-CM2M) communication has been introduced to overcome the problem of spectrum scarcity and limited battery capacity by enabling M2M transmitters (M2M-TXs)...
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Chapter
Dynamic Computation Offloading Scheme for Fog Computing System with Energy Harvesting Devices
Fog computing is considered as a promising technology to meet the ever-increasing computation requests from a wide variety of mobile applications. By offloading the computation-intensive requests to the fog no...
