A MATLAB platform for characterizing MIMO-OFDM communications with software-defined radios

Ryan Measel, Donald J. Bucci, Christopher S. Lester, Kevin Wanuga, Richard Primerano, Kapil R. Dandekar, Moshe Kam

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

4 Scopus citations

Abstract

A new MATLAB-based, wireless measurement platform using an existing software-defined radio architecture is presented. It augments IEEE 802.11g MIMO-OFDM physical layer schemes with new designs such as Maximal Ratio Combining, Alamouti coding, and Spatial Multiplexing. The platform provides a series of metrics, including channel capacity, Error Vector Magnitude (EVM), and Post-Processing Signal-to-Noise Ratio (PP-SNR) to characterize link and network performance. The software implementation and test protocol of the platform are presented with a validation study demonstrating its application.

Original languageEnglish (US)
Title of host publication2014 International Workshop Technical Committee on Communications Quality and Reliability, CQR 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467372510
DOIs
StatePublished - Jul 7 2015
Externally publishedYes
EventInternational Workshop Technical Committee on Communications Quality and Reliability, CQR 2014 - Tucson, United States
Duration: May 13 2014May 15 2014

Publication series

Name2014 International Workshop Technical Committee on Communications Quality and Reliability, CQR 2014

Other

OtherInternational Workshop Technical Committee on Communications Quality and Reliability, CQR 2014
CountryUnited States
CityTucson
Period5/13/145/15/14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality

Fingerprint Dive into the research topics of 'A MATLAB platform for characterizing MIMO-OFDM communications with software-defined radios'. Together they form a unique fingerprint.

Cite this