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Network Games, Control, and Optimization

Proceedings of NETGCOOP 2018, New York, NY

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Jean Walrand

    1. University of California, Berkeley, Berkeley, USA

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  2. Quanyan Zhu

    1. Tandon School of Engineering, New York University, Brooklyn, USA

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  3. Yezekael Hayel

    1. LIA/CERI, Université d’Avignon, Avignon, France

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  4. Tania Jimenez

    1. Laboratoire Informatique d’Avignon, Université d’Avignon, Avignon, France

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  • Collects papers presented by leading researchers at the 2018 Network Games, Control, and Optimization conference
  • Highlights the increasing importance of network control and optimization in many networking application domains
  • Chapters develop several conceptual and algorithmic tools needed for efficient control operation, performance optimization, and better understanding the relationships between entities acting cooperatively or selfishly

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Table of contents (16 papers)

  1. Front Matter

    Pages i-xii
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  2. Pricing of Coexisting Cellular and Community Networks

    • Patrick Maillé, Bruno Tuffin, Joshua Peignier, Estelle Varloot
    Pages 1-16

  3. Achieving Arbitrary Throughput–Fairness Trade-offs in the Inter-cell Interference Coordination with Fixed Transmit Power Problem

    • Vaibhav Kumar Gupta, Gaurav S. Kasbekar
    Pages 17-35

  4. Coexistence of LTE-Unlicensed and WiFi with Optimal Channel Aggregation

    • Naveen Kolar Purushothama
    Pages 37-54

  5. Analysis of Sponsored Data Practices in the Case of Competing Wireless Service Providers

    • Patrick Maillé, Bruno Tuffin
    Pages 55-70

  6. Media Delivery Competition with Edge Cloud, Remote Cloud and Networking

    • Xinyi Hu, George Kesidis, Behdad Heidarpour, Zbigniew Dziong
    Pages 71-87

  7. An Algorithmic Framework for Geo-Distributed Analytics

    • Srikanth Kandula, Ishai Menache, Joseph (Seffi) Naor, Erez Timnat
    Pages 89-105

  8. The Stackelberg Equilibria of the Kelly Mechanism

    • Francesco De Pellegrini, Antonio Massaro, Tamer Başar
    Pages 107-123

  9. To Participate or Not in a Coalition in Adversarial Games

    • Ranbir Dhounchak, Veeraruna Kavitha, Yezekael Hayel
    Pages 125-144

  10. On the Asymptotic Content Routing Stretch in Network of Caches: Impact of Popularity Learning

    • Boram Jin, Jiin Woo, Yung Yi
    Pages 145-163

  11. Tiered Spectrum Measurement Markets for Licensed Secondary Spectrum

    • Arnob Ghosh, Randall Berry, Vaneet Aggarwal
    Pages 165-182

  12. On Incremental Passivity in Network Games

    • Lacra Pavel
    Pages 183-200

  13. Impact of Social Connectivity on Herding Behavior

    • Deepanshu Vasal
    Pages 201-217

  14. A Truthful Auction Mechanism for Dynamic Allocation of LSA Spectrum Blocks for 5G

    • Ayman Chouayakh, Aurélien Bechler, Isabel Amigo, Loutfi Nuaymi, Patrick Maillé
    Pages 219-232

  15. Routing Game with Nonseparable Costs for EV Driving and Charging Incentive Design

    • Benoît Sohet, Olivier Beaude, Yezekael Hayel
    Pages 233-248

  16. The Social Medium Selection Game

    • Fabrice Lebeau, Corinne Touati, Eitan Altman, Nof Abuzainab
    Pages 249-269

  17. Public Good Provision Games on Networks with Resource Pooling

    • Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu
    Pages 271-287
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Keywords

About this book

This contributed volume offers a collection of papers presented at the 2018 Network Games, Control, and Optimization conference (NETGCOOP), held at the New York University Tandon School of Engineering in New York City, November 14-16, 2018. These papers highlight the increasing importance of network control and optimization in many networking application domains, such as mobile and fixed access networks, computer networks, social networks, transportation networks, and, more recently, electricity grids and biological networks. Covering a wide variety of both theoretical and applied topics in the areas listed above, the authors explore several conceptual and algorithmic tools that are needed for efficient and robust control operation, performance optimization, and better understanding the relationships between entities that may be acting cooperatively or selfishly in uncertain and possibly adversarial environments. As such, this volume will be of interest to applied mathematicians, computer scientists, engineers, and researchers in other related fields.

Editors and Affiliations

  • University of California, Berkeley, Berkeley, USA

    Jean Walrand

  • Tandon School of Engineering, New York University, Brooklyn, USA

    Quanyan Zhu

  • LIA/CERI, Université d’Avignon, Avignon, France

    Yezekael Hayel

  • Laboratoire Informatique d’Avignon, Université d’Avignon, Avignon, France

    Tania Jimenez

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