Voice/Data Integration in Mobile Radio Networks: Overview and Future Research Directions

Abstract

This report gives the results of preliminary background investigations into the problem of voice/data integration in mobile radio networks. The nature of these networks creates a totally new environment, in which the problems of voice/data integration have scarcely been addressed. We review the basics of the voice/data integration problem, and we discuss some of the approaches that have been developed in recent years. Few accurate models are available for optimization and control, and these have generally been limited to operation at a single network node. The problem of overall network operation and control is extremely complicated, even when issues related to mobile radio network operation are not addressed. We outline our future research plans for this basic research task, which will stress the development of accurate analytical models for performance evaluation and control. Optimization models will be developed by using techniques such as Markovian decision process models. An important goal of this study is the development of a framework for overall network modeling. Toward this goal we plan to develop new network models based on the use of discrete event dynamic systems techniques. (rrh)

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1989
Accession Number
ADA214289

Entities

People

  • Anthony Ephremides
  • Jeffrey E. Wieselthier

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Channel Allocation
  • Code Division Multiple Access
  • Communication Channels
  • Communication Systems
  • Computer Communications
  • Computer Networks
  • Data Transmission
  • Digital Communications
  • Hypervelocity Flow
  • Linear Programming
  • Multiple Access
  • Multiplexing
  • Network Science
  • Optimization
  • Packet Switching
  • Voice Over Internet Protocol

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Computer Networking
  • Technical Research and Report Writing.