Spectral efficiency in single-hop ad-hoc wireless networks with interference using adaptive antenna arrays

Siddhartan Govindasamy, Daniel W. Bliss, David H. Staelin

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

Receivers with N antennas in single-hop, ad-hoc wireless networks with nodes randomly distributed on an infinite plane with uniform area density are studied. Transmitting nodes have single antennas and transmit simultaneously in the same frequency band with power P that decays with distance via the commonly-used inverse-polynomial model with path-lossexponent (PLE) greater than 2. This model applies to shared spectrum systems where multiple links share the same frequency band. In the interference-limited regime, the average spectral efficiency of a representative link E[C] (b/s/Hz/link) is found to grow as log(N) and linearly with PLE, and its variance decays as 1/N. The average Signal-to-Interference-plus-Noise-Ratio (SINR) on a representative link is found to grow faster than linearly with N. With Multiple-Input-Multiple-Output (MIMO) links where transmit nodes have multiple antennas without ChannelState- Information, it is found that E[C] in the network can be improved if nodes transmit using the optimum number of antennas compared to the optimum selfish strategy of transmitting equal-power streams from every antenna. The results are extended to random Code-Division-Multiple-Access systems where the optimum spreading factor for a given link length is found. These results are developed as asymptotic expressions using infinite random matrix theory and are validated by MonteCarlo simulations.

Original languageEnglish (US)
Pages (from-to)1358-1369
Number of pages12
JournalIEEE Journal on Selected Areas in Communications
Volume25
Issue number7
DOIs
StatePublished - Sep 2007
Externally publishedYes

Keywords

  • Ad-hoc networks
  • Antenna arrays
  • MIMO
  • Random CDMA
  • Wireless networks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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