Frequency Reuse Through RF Power Management in Ship-to-Ship Data Networks

Abstract

A proposed U.S. Navy ship to ship, line of sight, high data rate communication system is analyzed. Because of the limited bandwidth available in the UHF band, it is desired to reuse a frequency channel at the shortest possible range. By limiting the radiated power to the minimum required to establish a desired quality of service, the channel can be reused at considerably shorter ranges than when the transmitter output power is fixed to the maximum available. Frequency reuse, however, introduces the problem of co-channel interference which degrades system performance. A computer simulation was developed to determine the bit error rate (BER) of a QPSK system in a Ricean fading channel with one co-channel interferer. The simulation generates plots of energy per bit to one sided noise power spectral density ratio (Eb/N0) versus BER. Simulation results are used to compute the minimum range (R) at which the channel can be reused while maintaining an average BER of 10 to the 6th power. The results show that even when no power control is used the channel can be reused at a range, R, of approximately 45 kilometers. This range can be reduced to less than 20 kilometers if an interfering ship can reduce its output power by 30 dB.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1997
Accession Number
ADA341252

Entities

People

  • Alfredo Rodríguez

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Amplitude Modulation
  • Bandwidth
  • Co-Channel Interference
  • Communication Channels
  • Communication Systems
  • Computer Simulations
  • Computers
  • Digital Communications
  • Frequency
  • Frequency Bands
  • Line Of Sight
  • Mobile Phones
  • Network Science
  • Radio Frequency
  • Radio Frequency Power
  • Simulations
  • Wireless Communications

Fields of Study

  • Engineering

Readers

  • Radio communications and signal processing.
  • Regression Analysis.
  • Software Engineering.