Control of Mobile Communication Systems with Time-Varying Channels via Stability Methods (Preprint)

Abstract

Consider the forward link of a mobile communications system with a single transmitter and connecting to K destinations via randomly varying channels. Data arrives in some random way and is queued according to the K destinations until transmitted. Time is divided into small scheduling intervals. Current systems can estimate the channel (e.g., via pilot signals) and use this information for scheduling. The issues are the allocation of transmitter power and/or time and bandwidth to the various queues in a queue and channel-state dependent way to assure stability and good operation. The decisions are made at the beginning of the scheduling intervals. Stochastic stability methods are used both to assure that the system is stable and to get appropriate allocations, under very weak conditions. The choice of Liapunov function allows a choice of the effective performance criteria. The resulting controls are readily implementable and allow a range of tradeoffs between current rates and queue lengths. The various extensions allow a large variety of schemes of current interest to be covered. All essential factors are incorporated into a mean rate function, so that the results cover many different systems. Because of the non-Markovian nature of the problem, we use the perturbed Stochastic Liapunov function method, which is well adapted to such problems. The method is simple and effective.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2004
Accession Number
ADA461988

Entities

People

  • Harold J. Kushner
  • Robert Buche

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Applied Mathematics
  • Bandwidth
  • Communication Systems
  • Flow
  • Fluid Flow
  • Frequency
  • Markov Models
  • Markov Processes
  • Mathematics
  • Mobile Communications
  • Mobile Phones
  • Numbers
  • Probability
  • Scheduling (Production)
  • Sequences
  • Time Intervals
  • Time-Varying Channels

Readers

  • Computer Networking
  • Mathematical Modeling and Probability Theory.
  • Radio communications and signal processing.