Iterative Tensor Receiver for MIMO-GFDM systems
ID:28 View Protection:ATTENDEE Updated Time:2020-08-05 10:16:59 Hits:479 Oral Presentation

Start Time:2020-06-09 15:00(Asia/Shanghai)

Duration:20min

Session:R Regular Session » R10MIMO Systems

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Abstract
In this paper, we present a tensor MIMO-GFDM system model that is based on the double contraction operator. Based on the derived system model, we propose an iterative tensor based MIMO-GFDM receiver, that is initialized with the channel estimation obtained via pilots transmitted in the first data frame. The proposed algorithm exploits the tensor structure by using several unfoldings of the received signal sequentially to obtain estimates of the transmitted symbols and the channel. Simulation results show the tensor gain for the proposed algorithm in addition to the improved channel estimation. Numerical results confirm that the receiver requires the same amount of pilots as the Zero Forcing (ZF) receiver, while having a better symbol error rate (SER) performance and a better channel estimation accuracy.
Keywords
Speaker
Damir Raisovich
Ilmenau University of Technology, Germany

Submission Author
Damir Raisovich Ilmenau University of Technology, Germany
Sai Pavan TU Ilmenau, Germany
Bruno Sokal Federal University of Cear? Brazil
Kristina Naskovska TU Ilmenau, Germany
Andr?de Almeida Federal University of Cear?& Wireless Telecom Research Group - GTEL, Brazil
Martin Haardt Ilmenau University of Technology, Germany
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Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
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