Optimal windowing in MIMO OFDM for network interference suppression

Andrew D. Copeland, Daniel W. Bliss, Andrew L. McKellips

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The combined use of orthogonal frequency-division multiplexing (OFDM) and wireless multiple-input multiple-output (MIMO) links is becoming common. For many applications, such as ad hoc wireless networks, interference is a significant issue. MIMO links allow for the spatial mitigation of interference; however, spatial interference mitigation when using OFDM modulation performs somewhat poorly because of the relatively limited interference spectral confinement of the Discrete Fourier Transform. Traditional windowing approaches that minimize leakage of the interference into neighboring carriers induce intercarrier interference. In this paper, a technique is developed for determining optimal windows that trade off interference suppression with intercarrier and interframe interference. This technique assumes channel statistics are known. Optimized windows for various levels of interference, delay spreads, frame length, and cyclic prefix lengths can be produced.

Original languageEnglish (US)
Title of host publicationConference Record - 43rd Asilomar Conference on Signals, Systems and Computers
Pages1699-1703
Number of pages5
DOIs
StatePublished - 2009
Externally publishedYes
Event43rd Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 1 2009Nov 4 2009

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other43rd Asilomar Conference on Signals, Systems and Computers
Country/TerritoryUnited States
CityPacific Grove, CA
Period11/1/0911/4/09

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Optimal windowing in MIMO OFDM for network interference suppression'. Together they form a unique fingerprint.

Cite this