TR2007-094

Antenna Selection Training in MIMO-OFDM/OFDMA Cellular Systems


    •  Mehta, N.B.; Molisch, A.F.; Zhang, J.; Bala, E., "Antenna Selection Training in MIMO-OFDM/OFDMA Cellular Systems", IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), ISBN: 978-1-4244-1713-1, December 2007, pp. 113-116.
      BibTeX Download PDF
      • @inproceedings{Mehta2007dec,
      • author = {Mehta, N.B. and Molisch, A.F. and Zhang, J. and Bala, E.},
      • title = {Antenna Selection Training in MIMO-OFDM/OFDMA Cellular Systems},
      • booktitle = {IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)},
      • year = 2007,
      • pages = {113--116},
      • month = dec,
      • isbn = {978-1-4244-1713-1},
      • url = {http://www.merl.com/publications/TR2007-094}
      • }
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  • Research Area:

    Communications


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Uplink transmit antenna selection training using sounding reference signals.

Antenna selection allows multiple-antenna systems to achieve most of their promised diversity gain, while keeping the number of RF chains and, thus, cost/complexity low. In this paper we investigate antenna selection for fourth-generation OFDMA-based cellular communication systems, in particular, 3GPP LTE (long-term evolution) systems. We propose a training method for antenna selection that is especially suitable for OFDMA. By means of simulation, we evaluate the SNR-gain that can be achieved with our design. We find that the performance depends on the bandwidth assigned to each user, the scheduling method (round-robin or frequency-domain scheduling), and the Doppler spread. Furthermore, the signal-to-noise ratio of the training sequence plays a critical role. Typically SNR gains are around 2 dB, with larger values obtainable in certain circumstances.