Detecting Spectrum Opportunities in Poisson Primary Networks

Abstract

Opportunistic spectrum access (OSA), also referred to as spectrum overlay, is one of several approaches envisioned for dynamic spectrum management. The basic idea of OSA is to allow secondary users to exploit temporarily and locally unused channels without causing unacceptable interference to primary users. One of the central issues in OSA is spectrum opportunity detection through sensing. Before transmitting over a particular channel, a secondary user needs to decide whether this channel is an opportunity. This is the so-called "Listen-before-Talk" (LBT) process. In this report, to quantitatively characterize the performance of LBT, we consider a slotted network setup in which primary users are distributed according to a spatial Poisson process. We first analyze the performance of LBT at both physical and MAC layers, and then we investigate the translation from physical layer opportunity detection performance to MAC layer performance, which is crucial in the design of the opportunity detector. In particular, we demonstrate the complex dependency of the relationship between PHY and MAC on the application type (guaranteed delivery vs. best-effort delivery) and the use of handshaking signaling such as RTS/CTS at the MAC layer. Throughout the report, we use capital letters for parameters of primary users and lower-cased letters for secondary users.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2007
Accession Number
ADA575938

Entities

People

  • Qing Zhao
  • Wei Ren

Organizations

  • University of California

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Collisions
  • Coordinate Systems
  • Data Transmission
  • Detection
  • Detectors
  • Exponential Functions
  • False Alarms
  • Integrals
  • Networks
  • Probability
  • Spatial Distribution
  • Spectra
  • Streaming Media
  • Throughput
  • Transmitters
  • Two Dimensional
  • Warning Systems

Readers

  • Coastal Oceanography
  • Computer Networking
  • Radio communications and signal processing.