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Resource allocation with carrier agg...

Abdelhadi, Ahmed.

Resource allocation with carrier aggregation in cellular networksoptimality and spectrum sharing using C++ and MATLAB /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Resource allocation with carrier aggregation in cellular networksby Haya Shajaiah, Ahmed Abdelhadi, Charles Clancy.
Reminder of title:	optimality and spectrum sharing using C++ and MATLAB /
Author:	Shajaiah, Haya.
other author:	Abdelhadi, Ahmed.
Published:	Cham :Springer International Publishing :2018.
Description:	xvi, 201 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Radio resource management (Wireless communications)
Online resource:	http://dx.doi.org/10.1007/978-3-319-60540-1
ISBN:	9783319605401$q(electronic bk.)

Resource allocation with carrier aggregation in cellular networksoptimality and spectrum sharing using C++ and MATLAB /
Shajaiah, Haya.

Resource allocation with carrier aggregation in cellular networksoptimality and spectrum sharing using C++ and MATLAB /[electronic resource] :by Haya Shajaiah, Ahmed Abdelhadi, Charles Clancy. - Cham :Springer International Publishing :2018. - xvi, 201 p. :ill., digital ;24 cm.

Chapter 1. Introduction -- Chapter 2.Utility Functions and Resource Allocation for Spectrum Sharing -- Chapter 3.Multi-Stage Resource Allocation with Carrier Aggregation -- Chapter 4.Resource Allocation with User Discrimination for Spectrum Sharing -- Chapter 5.Resource Allocation with Carrier Aggregation for Commercial Use of 3.5 GHz Spectrum -- Chapter 6.RA with CA for a Cellular System Sharing Spectrum with S-band Radar -- Chapter 7.Utility Proportional Fairness Resource Block Scheduling with Carrier Aggregation -- Chapter 8.Conclusion and Future Trajectory.

This book introduces an efficient resource management approach for future spectrum sharing systems. The book focuses on providing an optimal resource allocation framework based on carrier aggregation to allocate multiple carriers' resources efficiently among mobile users. Furthermore, it provides an optimal traffic dependent pricing mechanism that could be used by network providers to charge mobile users for the allocated resources. The book provides different resource allocation with carrier aggregation solutions, for different spectrum sharing scenarios, and compares them. The provided solutions consider the diverse quality of experience requirement of multiple applications running on the user's equipment since different applications require different application performance. In addition, the book addresses the resource allocation problem for spectrum sharing systems that require user discrimination when allocating the network resources.

ISBN: 9783319605401$q(electronic bk.)

Standard No.: 10.1007/978-3-319-60540-1doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

469943
Radio resource management (Wireless communications)

LC Class. No.: TK5103.4873

Dewey Class. No.: 384.54524

Resource allocation with carrier aggregation in cellular networksoptimality and spectrum sharing using C++ and MATLAB /
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245 1 0 $a Resource allocation with carrier aggregation in cellular networks $h [electronic resource] : $b optimality and spectrum sharing using C++ and MATLAB / $c by Haya Shajaiah, Ahmed Abdelhadi, Charles Clancy.
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505 0 $a Chapter 1. Introduction -- Chapter 2.Utility Functions and Resource Allocation for Spectrum Sharing -- Chapter 3.Multi-Stage Resource Allocation with Carrier Aggregation -- Chapter 4.Resource Allocation with User Discrimination for Spectrum Sharing -- Chapter 5.Resource Allocation with Carrier Aggregation for Commercial Use of 3.5 GHz Spectrum -- Chapter 6.RA with CA for a Cellular System Sharing Spectrum with S-band Radar -- Chapter 7.Utility Proportional Fairness Resource Block Scheduling with Carrier Aggregation -- Chapter 8.Conclusion and Future Trajectory.
520 $a This book introduces an efficient resource management approach for future spectrum sharing systems. The book focuses on providing an optimal resource allocation framework based on carrier aggregation to allocate multiple carriers' resources efficiently among mobile users. Furthermore, it provides an optimal traffic dependent pricing mechanism that could be used by network providers to charge mobile users for the allocated resources. The book provides different resource allocation with carrier aggregation solutions, for different spectrum sharing scenarios, and compares them. The provided solutions consider the diverse quality of experience requirement of multiple applications running on the user's equipment since different applications require different application performance. In addition, the book addresses the resource allocation problem for spectrum sharing systems that require user discrimination when allocating the network resources.
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