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1. |
Record Nr. |
UNINA9910155500203321 |
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Autore |
Gutman Dan <1955-> |
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Titolo |
Rappy Goes to the Supermarket |
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Pubbl/distr/stampa |
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Lingua di pubblicazione |
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Formato |
Musica |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Rappy the Raptor is going to the grocery store. What a bore But Rappy finds himself actually having fun...that is, until he tips over a HUGE display of toilet paper rolls. The manager is angry, but the quick-thinking Rappy uses his rhyming skills to save the dayBeginning readers will enjoy rapping through the supermarket aisles with everyone's favorite raptor. Rappy knows how to make even a trip to the supermarket fun This rhyming Level Two I Can Read is perfect for beginning and developing readers.Where are you taking me?I really want to know.Why are you making me?I don't want to go |
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2. |
Record Nr. |
UNINA9910254194403321 |
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Autore |
Xu Yuhua |
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Titolo |
Game-theoretic Interference Coordination Approaches for Dynamic Spectrum Access / / by Yuhua Xu, Anpalagan Alagan |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (100 p.) |
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Collana |
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SpringerBriefs in Electrical and Computer Engineering, , 2191-8112 |
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Disciplina |
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Soggetti |
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Electrical engineering |
Computer organization |
Information theory |
Microwaves |
Optical engineering |
Communications Engineering, Networks |
Computer Systems Organization and Communication Networks |
Information and Communication, Circuits |
Microwaves, RF and Optical Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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Preface; Contents; Acronyms; 1 Introduction; 1.1 Interference Coordination in Dynamic Spectrum Access; 1.1.1 Preliminaries; 1.1.2 Challenges and Problems; 1.2 Game-Theoretic Solutions for Interference Coordination; 1.2.1 Motivation of Applying Game Models; 1.2.2 A General Framework of Game-Theoretic Solutions; 1.3 Organization and Summary; References; 2 Distributed Interference Mitigation in Time-Varying Radio Environment; 2.1 Introduction; 2.2 System Model and Problem Formulation; 2.2.1 System Model; 2.2.2 Problem Formulation; 2.3 Interference Mitigation Game in Time-Varying Environment |
2.3.1 Game Model2.3.2 Analysis of Nash Equilibrium; 2.4 Achieving NE Using Stochastic Learning Automata; 2.4.1 Algorithm Description; 2.4.2 Convergence Analysis; 2.5 Simulation Results and Discussion; 2.5.1 Convergence Behavior; 2.5.2 Performance Evaluation; 2.6 Concluding Remarks; References; 3 Game-Theoretic MAC-Layer Interference |
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Coordination with Orthogonal Channels; 3.1 Introduction; 3.2 Motivation, Definition, and Discussion of MAC-Layer Interference; 3.2.1 Motivation and Definition; 3.2.2 Discussion on the Impact of Channel Fading; 3.3 System Model and Problem Formulation |
3.3.1 Bilateral Interference Networks3.3.2 MAC-Layer Interference Minimization; 3.4 MAC-Layer Interference Minimization Game; 3.4.1 Graphical Game Model; 3.4.2 Analysis of Nash Equilibrium; 3.5 The Binary Log-Linear Learning Algorithms for Achieving Best NE; 3.5.1 Algorithm Description; 3.5.2 Convergence Analysis; 3.6 Simulation Results and Discussion; 3.6.1 Scenario Setup; 3.6.2 Scenario with No Fading; 3.6.3 Scenario with Fading; 3.7 Extension to Unilateral Interference CRNs; 3.7.1 System Model; 3.7.2 Simulation Results; 3.8 Concluding Remarks; References |
4 Game-Theoretic MAC-Layer Interference Coordination with Partially Overlapping Channels4.1 Introduction; 4.2 Interference Models and Problem Formulation; 4.2.1 MAC-Layer Interference Model with Partially Overlapping Channels; 4.2.2 Problem Formulation; 4.3 Graphical Game Model ; 4.3.1 Graphical Game Model; 4.3.2 Analysis of Nash Equilibrium; 4.4 Simultaneous Log-Linear Learning Algorithm with Heterogeneous Rates; 4.4.1 Algorithm Description; 4.4.2 Convergence Analysis; 4.5 Simulation Results and Discussion; 4.5.1 Scenario Setup; 4.5.2 Convergence Behavior; 4.5.3 Performance Evaluation |
4.6 Concluding RemarksReferences; 5 Robust Interference Coordination with Dynamic Active User Set; 5.1 Introduction; 5.2 System Model and Problem Formulation; 5.2.1 System Model; 5.2.2 Problem Formulation; 5.3 Channel Sensing Order Selection Games; 5.3.1 State-Based Order Selection Game; 5.3.2 Robust Order Selection Game; 5.3.3 Distributed Learning Algorithm with Dynamic Active User Set; 5.4 Simulation Results and Discussion; 5.4.1 Convergence Behavior; 5.4.2 Throughput Performance; 5.5 Concluding Remarks; References; 6 Future Direction and Research Issues |
6.1 Hierarchical Games for Small Cell Networks |
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Sommario/riassunto |
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Written by experts in the field, this book is based on recent research findings in dynamic spectrum access for cognitive radio networks. It establishes a game-theoretic framework and presents cutting-edge technologies for distributed interference coordination. With game-theoretic formulation and the designed distributed learning algorithms, it provides insights into the interactions between multiple decision-makers and the converging stable states. Researchers, scientists and engineers in the field of cognitive radio networks will benefit from the book, which provides valuable information, useful methods and practical algorithms for use in emerging 5G wireless communication. |
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