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Radio Resource Management Using Geometric Water-Filling
(Englisch)
SpringerBriefs in Computer Science
Peter He & Lian Zhao & Sheng Zhou & Zhisheng Niu

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Radio Resource Management Using Geometric Water-Filling

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Includes supplementary material: sn.pub/extras


This brief introduces the fundamental theory and development of managing radio resources using a water-filling algorithm that can optimize system performance in wireless communication. Geometric Water-Filling (GWF) is a crucial underlying tool in emerging communication systems such as multiple input multiple output systems, cognitive radio systems, and green communication systems. Early chapters introduce emerging wireless technologies and provide a detailed analysis of water-filling. The brief investigates single user and multi-user issues of radio resource management, allocation of resources, and energy harvesting. Effective algorithms demonstrate the incredible potential capabilities of water-filling mechanisms.This brief is designed for researchers and professionals working with resource management and wireless communications. Advanced-level students in computer science and engineering will also find the information valuable.

Introduction.- Geometric Water-Filling in RRM.- RRM in MIMO System.- RRM for Cognitive Network.- RRM in Wireless Communications with Energy Harvest Technology.




Inhaltsverzeichnis



Introduction.- Geometric Water-Filling in RRM.- RRM in MIMO System.- RRM for Cognitive Network.- RRM in Wireless Communications with Energy Harvest Technology.


Klappentext

This brief introduces the fundamental theory and development of managing radio resources using a water-filling algorithm that can optimize system performance in wireless communication. Geometric Water-Filling (GWF) is a crucial underlying tool in emerging communication systems such as multiple input multiple output systems, cognitive radio systems, and green communication systems.
Early chapters introduce emerging wireless technologies and provide a detailed analysis of water-filling. The brief investigates single user and multi-user issues of radio resource management, allocation of resources, and energy harvesting. Effective algorithms demonstrate the incredible potential capabilities of water-filling mechanisms.
This brief is designed for researchers and professionals working with resource management and wireless communications. Advanced-level students in computer science and engineering will also find the information valuable.




Includes supplementary material: sn.pub/extras

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