OCP: Opportunistic Carrier Prediction for Wireless Networks

Abstract

In this paper, we propose Opportunistic Carrier Prediction (OCP) that jointly addresses exposed terminal and hidden terminal problems in wireless networks. OCP is based on the rationale that past interference information can be a good indicator for the outcome of future packet delivery. Therefore each OCP sender maintains a summary of past interference information and opportunistically accesses the channel when it is confident that the packet transmission will be successful and cause no collision to other flows. To realize OCP, we propose (1) a novel data structure for each sender to summarize the interference information and (2) physical layer preemptive decoding scheme for each sender to collect the identities of the interferers. Through extensive evaluation, we show that OCP improves the system throughput by up to 170%, packet delivery success ratio by up to 400% in random topologies, while almost removing starvation in many settings.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2008
Accession Number
ADA603088

Entities

People

  • Chun-cheng Chen
  • Nitin H. Vaidya

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Counter WMD
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Collisions
  • Data Rate
  • Decoding
  • Identities
  • Indicators
  • Multiple Access
  • Networks
  • Nutrition Disorders
  • Simulations
  • Simulators
  • Terminals
  • Test And Evaluation
  • Throughput
  • Topology
  • Transmitters
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Facility/Structural Engineering.
  • Radio communications and signal processing.