Conference proceeding
Software Defined Radio Demonstration of MIMO-OFDM Rate Adaptation
2006 1st IEEE Workshop on Networking Technologies for Software Defined Radio Networks
Sep 2006
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this paper, we present a framework for rate and power allocation in MIMO-OFDM systems using the V-BLAST and SVD techniques. The performance of these techniques are compared with one another and with waterfilling using channel measurements on our MIMO-OFDM software defined radio testbed. Specifically, we show with measured data that sub-carrier rate adaptation allows for more efficient spectral use. Furthermore, we show that power allocation over streams provides significant gains as well. We analyze the impact of stale channel feedback information on this rate and power allocation framework and demonstrate how matrix channel prediction using a Kalman-filter based, vector autoregressive model can alleviate this problem.
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Details
- Title
- Software Defined Radio Demonstration of MIMO-OFDM Rate Adaptation
- Creators
- John Kountouriotis - Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104. Email: jk368@drexel.eduNicholas J Kirsch - Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104. Email: njk27@drexel.eduKapil R Dandekar - Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104. Email: dandekar@drexel.edu
- Publication Details
- 2006 1st IEEE Workshop on Networking Technologies for Software Defined Radio Networks
- Conference
- 2006 1st IEEE Workshop on Networking Technologies for Software Defined Radio Networks, 1st
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000250781700007
- Scopus ID
- 2-s2.0-48349107856
- Other Identifier
- 991014878107504721
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- Web of Science research areas
- Computer Science, Hardware & Architecture
- Engineering, Electrical & Electronic