Dynamic utility maximization for mobile data communications under delay constraints

Heng Wang, Narayan Mandayam, David J. Goodman, Paschalis Ligdas

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

In this paper, we discuss dynamic binary transmit power control strategies for a mobile data user, taking into consideration channel dynamics, residual battery energy and communication delay constraints. We define a utility function for the mobile that takes into account communication throughput, energy consumption as well as delay. A dynamic programming algorithm is employed to maximize the user's utility, by which we obtain optimal transmission policies for different scenarios. The resulting transmitter power policies can be implemented using signal strength measurements and knowledge of residual battery energy.

Original languageEnglish (US)
Pages (from-to)2113-2117
Number of pages5
JournalIEEE Vehicular Technology Conference
Volume3
StatePublished - Jan 1 2000
EventVTC2000: 51st Vehicular Technology Conference 'Shaping History Through Mobile Technologies' - Tokyo, Jpn
Duration: May 15 2000May 18 2000

Fingerprint

Utility Maximization
Data Communication
Mobile Communication
Battery
Communication Delay
Communication
Power Control
Energy
Utility Function
Dynamic programming
Power control
Transmitter
Energy Consumption
Dynamic Programming
Control Strategy
Transmitters
Throughput
Energy utilization
Maximise
Binary

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

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Dynamic utility maximization for mobile data communications under delay constraints. / Wang, Heng; Mandayam, Narayan; Goodman, David J.; Ligdas, Paschalis.

In: IEEE Vehicular Technology Conference, Vol. 3, 01.01.2000, p. 2113-2117.

Research output: Contribution to journalConference article

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