A Study on Radio Access Technology Selection Algorithms

Nonfiction, Computers, Database Management, Information Storage & Retrievel, Science & Nature, Technology, Telecommunications
Cover of the book A Study on Radio Access Technology Selection Algorithms by Leijia Wu, Kumbesan Sandrasegaran, Springer Berlin Heidelberg
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Author: Leijia Wu, Kumbesan Sandrasegaran ISBN: 9783642293993
Publisher: Springer Berlin Heidelberg Publication: April 25, 2012
Imprint: Springer Language: English
Author: Leijia Wu, Kumbesan Sandrasegaran
ISBN: 9783642293993
Publisher: Springer Berlin Heidelberg
Publication: April 25, 2012
Imprint: Springer
Language: English

This book discusses the basic idea of Common Radio Resource Management (CRRM), especially on the Radio Access Technologies selection part of CRRM. It introduces two interaction functions (information reporting function and RRM decision support function) and four interaction degrees (from low to very high) of CRRM. Four possible CRRM topologies (CRRM server, integrated CRRM, Hierarchical CRRM, and CRRM in user terminals) are described. The book presents different Radio Access Technologies selection algorithms, including single criterion and multiple criteria based algorithms are presented and compares them. Finally, the book analyses the advantages and disadvantages of the different selection algorithms.

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This book discusses the basic idea of Common Radio Resource Management (CRRM), especially on the Radio Access Technologies selection part of CRRM. It introduces two interaction functions (information reporting function and RRM decision support function) and four interaction degrees (from low to very high) of CRRM. Four possible CRRM topologies (CRRM server, integrated CRRM, Hierarchical CRRM, and CRRM in user terminals) are described. The book presents different Radio Access Technologies selection algorithms, including single criterion and multiple criteria based algorithms are presented and compares them. Finally, the book analyses the advantages and disadvantages of the different selection algorithms.

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