Data Ridden Pilots Based Estimation of Sparse Multipath Massive MIMO Channels Using Orthogonal Matching Pursuit

Authors

  • Babar Mansoor
  • Moazzam Islam Tiwana
  • Syed Junaid Nawaz
  • Abrar Ahmed
  • Abdul Haseeb
  • Ataul Aziz Ikram

DOI:

https://doi.org/10.5755/j01.eie.25.4.23975

Keywords:

Channel estimation, Compressed sensing, Matching pursuit algorithms, Massive multiple-input multiple-output

Abstract

Massive Multiple-Input Multiple-Output (MIMO) is envisioned to be a strong candidate technology for the upcoming 5th generation (5G) of wireless communication networks. This research work presents a novel Compressed Sensing (CS) and Superimposed Training (SiT) based technique for estimating the sparse uplink channels in massive MIMO systems. The proposed technique involves arithmetic addition of a periodic, but low powered training sequence with each user’s information sequence. Consequently, separately dedicated resources for the pilot symbols are not needed. Moreover, to attain the estimates of the Channel State Information (CSI) in the uplink, the sparsity exhibited by the MIMO channels is exploited by incorporating CS based Orthogonal Matching Pursuit (OMP) algorithm. For decoding the transmitted information symbols of each user, a Linear Minimum Mean Square Error (LMMSE) based equalizer is incorporated at the receiving Base Station (BS). Based on the obtained simulation results, the proposed SiT-OMP technique outperforms the existing Least Squares (SiT) channel estimation technique. The comparison is done using performance metrics of the Bit Error Rate (BER) and the Normalized Channel Mean Square Error (NCMSE).

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Published

2019-08-07

How to Cite

Mansoor, B. ., Tiwana, M. I. ., Nawaz, S. J. ., Ahmed, A. ., Haseeb, A. ., & Ikram, A. A. . (2019). Data Ridden Pilots Based Estimation of Sparse Multipath Massive MIMO Channels Using Orthogonal Matching Pursuit. Elektronika Ir Elektrotechnika, 25(4), 81-87. https://doi.org/10.5755/j01.eie.25.4.23975

Issue

Section

TELECOMMUNICATIONS ENGINEERING