Error Control Systems for Multi-Access Communication Channels,

Abstract

Error control systems for multi-access communication channels are investigated. Error detection and retransmission techniques, also referred to as Automatic Request-Repeat (ARQ) schemes, are integrated with basic channel access-control disciplines. The channel access disciplines coordinate the transmissions by the distributed stations of the communication network to avoid simultaneous transmissions over the shared channel. ARQ systems provide the necessary error recovery procedures to insure data transmission integrity. ARQ error control systems are applied to a multi-access broadcast channel governed by a Time Division Multiple Access (TDMA) and a Group Random Acces (GRA) channel access-control disciplines, a fixed scheduling discipline and a random access discipline, respectively. The TDMA channel is examined under Select-and-Repeat, Block, and Stop-and-Wait ARQ schemes. The GRA channel is investigated under acknowledgment schemes which either schedule acknowledgment transmissions or transmit acknowledgments on a random access basis. Performance indices such as channel throughput and message delay are analyzed through a queueing theoretic approach for network stations modeled as independent sources which generate messages according to a renewal process.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1979
Accession Number
ADA074569

Entities

People

  • Billy Hitoshi Saeki

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Channel Capacity
  • Communication Channels
  • Communication Networks
  • Communication Systems
  • Computer Access Control
  • Computer Communications
  • Computers
  • Data Transmission
  • Digital Communications
  • Error Correction Codes
  • Frequency
  • Frequency Division Multiple Access
  • Markov Chains
  • Multiple Access
  • Multiplexing
  • Packet Switching
  • Steady State

Readers

  • Computer Networking
  • Mathematical Modeling and Probability Theory.