Optimization Algorithms and Equilibrium Analysis for Dynamic Resource Allocation

Abstract

This research project is focused on developing computational game theoretic techniques to tackle the design and computation of equilibrium power allocation/control schemes for a complex heterogeneous communication system. We have explored the use of noncooperative game theory, MPEC (Mathematical Programs with Equilibrium Constraints) to formulate and study the spectrum management problem. We have also addressed the design and computation complexities of equilibrium power spectrum policies in various game theoretic frameworks and proposed efficient distributed algorithms for dynamic power spectrum design.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2012
Accession Number
ADA565198

Entities

People

  • Zhi-quan Luo

Organizations

  • University of Minnesota

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Cognitive Radio
  • Communication Systems
  • Computations
  • Data Rate
  • Energy Consumption
  • Frequency Bands
  • Game Theory
  • Information Theory
  • Multiple Access
  • Multiple Input Multiple Output
  • Optimization
  • Power Spectra
  • Probability
  • Signal Processing
  • Transmitters
  • Wireless Communications

Fields of Study

  • Engineering

Readers

  • Game Theory.
  • Operations Research
  • Systems Analysis and Design