Reconfigurable antennas and link adaptation algorithms for MIMO-OFDM wireless systems

George D. Sworo, Kapil R. Dandekar, Moshe Kam

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


In this work, we study and analyze the performance of physical layer algorithms for adaptive multiple input-multiple output orthogonal frequency-division multiplexing (MIMO-OFDM) wireless systems that employ a new class of adaptive antenna systems known as reconfigurable antennas. These antennas are capable of adaptively modifying their radiation characteristics and thus leverage pattern diversity to affect how the transmitter and receiver perceive the wireless channel. We propose a low complexity spatial adaptive modulation and coding (AMC) algorithm that uses the advantages of pattern reconfigurable antennas in concert with link adaptation to improve MIMO-OFDM link throughput. The algorithm operates in two main stages; first, it searches for the antenna configuration that yields the highest post processing signal-to-noise ratio (ppSNR) and, then, applies AMC to improve spectral efficiency. The performance of the proposed scheme is experimentally evaluated for a 2×2 MIMO-OFDM wireless system in an indoor environment.

Original languageEnglish (US)
Article number156
JournalEurasip Journal on Wireless Communications and Networking
Issue number1
StatePublished - Dec 15 2015

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Science Applications
  • Computer Networks and Communications


  • Adaptive modulation and coding
  • Link adaptation
  • Reconfigurable antennas
  • Spatial multiplexing


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