Informationally Efficient Multi-User Communication

Abstract

The rapid increase in the demand for data rate over wired and wireless communication networks has led to a rethinking of the traditional network architecture and design principles. In fact, communication systems are inherently informationally decentralized competitive environments, where multiple devices executing a variety of applications and services need to locally adapt their transmission strategies based on their available information and compete for scarce networking resources. The concepts and techniques that have dominated multi-user communication research in recent years are not well suited for these informationally decentralized environments. Specifically, most existing research has focused on two extreme multi-user interaction scenarios, the complete information scenario with a common system-wide objective (e.g. Pareto optimality) and the private information scenario with conflicting objectives (e.g. Nash equilibrium (NE)).

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA522881

Entities

People

  • Yi Su

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Communication Networks
  • Communication Systems
  • Computational Science
  • Computer Communications
  • Computer Networks
  • Electrical Engineering
  • Heterogeneous Networks
  • Information Processing
  • Information Science
  • Mesh Networks
  • Multiple Access
  • Network Architecture
  • Signal Processing
  • Wireless Communications
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design