Bursty Traffic in Energy-Constrained Opportunistic Spectrum Access

Abstract

We design opportunistic spectrum access strategies for improving spectrum efficiency. In each slot, a secondary user chooses a subset of channels to sense and decides whether to access based on the sensing outcomes. Incorporating the secondary user's residual energy and buffer state, we formulate this sequential decision-making problem as a partially observable Markov decision process (POMDP). Within the POMDP framework we obtain stationary optimal sensing and access policies. By exploiting the rich structure of the underlying problem we develop monotonicity results for the optimal policies, which accelerate the computations. Numerical results are provided to study the impact of the secondary user's packet arrival rate and residual energy on the optimal sensing and access decisions.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2007
Accession Number
ADA575930

Entities

People

  • Ananthram Swami
  • Qing Zhao
  • Yunxia Chen

Organizations

  • University of California

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Cellular Networks
  • Computations
  • Computers
  • Energy Consumption
  • Markov Processes
  • Military Research
  • Networks
  • Observation
  • Power Levels
  • Probability
  • Random Variables
  • Residuals
  • Spectra
  • Stationary
  • Statistics
  • Transitions
  • Transmitters

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Networking