Capacity analysis of ocean channels

Noam Ophir, Joseph Tabrikian, Hagit Messer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Evaluating the channel capacity is of great interest in the design of underwater (UW) acoustic communication systems. In this paper, a parallel subchannel communication model for the acoustic UW channel is presented and a new analytic suboptimal power allocation scheme, named average-water-fllling (AWF), is proposed. The communication model is based on Monte-Carlo physical propagation simulations through an ocean environment with internal waves (IW). It is assumed that the channel state information (CSI) is not available to the transmitter. The subchannels in this model correspond to different acoustic frequency bands. The channel exhibits nonuniform frequency selective fading, where the fading intensity of each subchannel is found to be exponentially distributed. The proposed AWF scheme is based on the analysis of the water-filling (WF) power allocation, which is optimal when the transmitter is provided with the CSI. Simulations show that the AWF power allocation outperforms the uniform power allocation for any signal-to-noise ratio (SNR), and converges to the optimal performance (i.e., capacity achieving allocation) for high SNRs. As a suboptimal solution, the AWF yields an analytic lower bound for the capacity.

Original languageEnglish
Title of host publication2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006
Pages646-650
Number of pages5
StatePublished - 1 Dec 2006
Event4th IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006 - Waltham, MA, United States
Duration: 12 Jul 200614 Jul 2006

Publication series

Name2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006

Conference

Conference4th IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006
Country/TerritoryUnited States
CityWaltham, MA
Period12/07/0614/07/06

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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