Discrete-Event-Dynamic-System-Based Approaches for Control in Integrated VoicelData Multihop Radio Networks.

Abstract

We report accomplishments and new directions in our effort to develop and apply discrete-event-dynamic-system-based techniques for the transmission scheduling problem in Radio Networks (RN). First, we examine this problem in the context of data traffic in general topology networks. Next, we look at the scheduling problem when processing packetized voice calls, where Grade-of-Service (GOS) requirements are quite different. For data traffic, we formulate an optimization problem for the allocation of transmission time slots to different competing nodes and present a gradient-based algorithm suitable for on-line implementation without any assumptions on the nature of the data traffic processes. Examples illustrating the adaptive features of our approach and comparing it to other schemes are included. For voice traffic, we formulate the optimal scheduling problem as a stochastic discrete resource allocation problem, which is combinatorially hard. We describe a technique for transforming this to a continuous optimization problem and develop algorithms for minimizing the blocking probability of packetized voice traffic.

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Document Details

Document Type
Technical Report
Publication Date
Dec 07, 1994
Accession Number
ADA288389

Entities

People

  • Christos G. Cassandras
  • Vibhor Julka

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Communication Systems
  • Differential Equations
  • Engineering
  • Equations
  • Estimators
  • Heuristic Methods
  • Military Research
  • Notation
  • Optimization
  • Perturbations
  • Probability
  • Random Variables
  • Scheduling (Production)
  • Simulations
  • Standards
  • Topology

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Graph Algorithms and Convex Optimization.
  • Systems Analysis and Design