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Network Economics and the Allocation of Savings: A Model of Peering in the Voice-over-IP Telecommunications Market 2012 [Pehme köide]

  • Formaat: Paperback / softback, 297 pages, kõrgus x laius: 235x155 mm, kaal: 486 g, 48 Illustrations, black and white; XV, 297 p. 48 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Economics and Mathematical Systems 653
  • Ilmumisaeg: 22-Oct-2011
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642210953
  • ISBN-13: 9783642210952
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  • Formaat: Paperback / softback, 297 pages, kõrgus x laius: 235x155 mm, kaal: 486 g, 48 Illustrations, black and white; XV, 297 p. 48 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Economics and Mathematical Systems 653
  • Ilmumisaeg: 22-Oct-2011
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642210953
  • ISBN-13: 9783642210952
Including an overview of game and network theory and the history of the liberalization of telecom markets in the 1980s and 90s, this volume elucidates a game theoretic model of business interaction between VoIP operators relating to levels of cooperation.

This book provides a game theoretic model of interaction among VoIP telecommunications providers regarding their willingness to enter peering agreements with one another. The author shows that the incentive to peer is generally based on savings from otherwise payable long distance fees. At the same time, termination fees can have a countering and dominant effect, resulting in an environment in which VoIP firms decide against peering. Various scenarios of peering and rules for allocation of the savings are considered. The first part covers the relevant aspects of game theory and network theory, trying to give an overview of the concepts required in the subsequent application. The second part of the book introduces first a model of how the savings from peering can be calculated and then turns to the actual formation of peering relationships between VoIP firms. The conditions under which firms are willing to peer are then described, considering the possible influence of a regulatory body.
1 Motivation and Nontechnical Overview
1(8)
Part I Selected Theoretical Concepts
2 The Theory of Games
9(110)
2.1 On Game Theory
9(2)
2.2 Noncooperative Games
11(15)
2.2.1 Overview
11(1)
2.2.2 Strategic Form Games
11(10)
2.2.3 Extensive Form Games
21(5)
2.3 Cooperative Games
26(22)
2.3.1 Overview
26(1)
2.3.2 The Cooperative Game
27(2)
2.3.3 Important Classes and Types of Games
29(7)
2.3.4 Properties of a Game
36(9)
2.3.5 Dual Games and the Tennessee Valley Authority
45(3)
2.4 Solutions Concepts for Cooperative Games
48(71)
2.4.1 Overview
48(4)
2.4.2 Stable Sets: The von Neumann Morgenstern Solution
52(5)
2.4.3 The Core
57(28)
2.4.4 Allocation Rules as Point-valued Solutions
85(5)
2.4.5 The Shapley Value
90(12)
2.4.6 The Weighted Shapley Value
102(9)
2.4.7 Bargaining Solutions
111(8)
3 Network Theory in Economics
119(40)
3.1 Overview
119(1)
3.2 Basic Concepts and Definitions
119(5)
3.3 Communication Situations
124(6)
3.4 Allocation Rules in Communication Situations
130(4)
3.5 The Myerson Value
134(7)
3.6 Network Formation
141(18)
3.6.1 Overview
141(1)
3.6.2 Network Formation in Extensive Form
142(5)
3.6.3 Network Formation in Strategic Form
147(4)
3.6.4 On the Stability of Networks
151(8)
Part II Applications to Peering in Telecommunications
4 Telecommunications and the Internet
159(20)
4.1 Overview
159(1)
4.2 A Brief Refresher on Telecommunications Networks
159(8)
4.2.1 Architecture of a Classic PSTN
160(3)
4.2.2 The Internet
163(3)
4.2.3 Overlap and Convergence to Next Generation Networks
166(1)
4.3 Market Liberalization and Regulation
167(3)
4.4 Telephony on IP-Based Networks
170(5)
4.4.1 IP Telephony
170(2)
4.4.2 Classes of VoIP Firms
172(1)
4.4.3 The Re-Routing Problem
172(3)
4.5 Related Research
175(4)
5 A Model of Peering Among VoIP Firms
179(56)
5.1 Overview
179(1)
5.2 The VoIP Peering Game
179(24)
5.2.1 Basic Setup and Assumptions
179(10)
5.2.2 The Characteristic Function of the Game
189(4)
5.2.3 The Peering Game and Its Properties
193(10)
5.3 Allocation of Gains from Peering
203(32)
5.3.1 Allocate What?
203(1)
5.3.2 The Core of the Peering Game
204(7)
5.3.3 Downsizing with the Least-Core
211(2)
5.3.4 The Shapley Vector in the Peering Game
213(5)
5.3.5 The Myerson Value
218(1)
5.3.6 The Weighted Shapley Value
219(7)
5.3.7 Bargaining Solutions
226(6)
5.3.8 For Comparison Only
232(3)
6 Network Formation in Peering
235(34)
6.1 Overview
235(1)
6.2 A Contribution-Based Allocation Procedure
236(5)
6.3 Bilateral Network Formation
241(12)
6.3.1 Overview
241(1)
6.3.2 Network Formation in Strategic Form
242(7)
6.3.3 Stability of Networks
249(4)
6.3.4 Network Formation in Extensive Form
253(1)
6.4 Central Network Formation
253(12)
6.4.1 The Central Peering Instance
253(3)
6.4.2 Network Formation in Strategic Form
256(4)
6.4.3 Network Formation in Extensive Form
260(3)
6.4.4 Stability of Networks
263(2)
6.5 Implications for Regulators
265(4)
7 Concluding Remarks
269(4)
A A Selected Mathematical Concepts 273(14)
Notation 287(4)
References 291
Philipp Servatius took up employment in the private sector after being awarded his doctorate from the Department of Quantitative Economics at the University of Fribourg. He now works as analyst for a global reinsurer and lives in Zurich and Fribourg, Switzerland.