Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Alternating-Projection-Based Channel Estimation for Multicell Massive MIMO Systems

  • Chen, Yi Liang (Mandu Company) ;
  • Ran, Rong (Department of Electrical and Computer Engineering, Ajou University) ;
  • Oh, Hayoung (Department of Software Engineering, Ajou University)
  • Received : 2018.03.05
  • Accepted : 2018.03.23
  • Published : 2018.03.31
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Abstract

In massive multiple-input multiple-output (MIMO) systems, linear channel estimation algorithms are widely applied owing to their simple structures. However, they may cause pilot contamination, which affects the subsequent data detection performance. Therefore, herein, for an uplink multicell massive multiuser MIMO system, we consider using an alternating projection (AP) for channel estimation to eliminate the effect of pilot contamination and improve the performance of data detection in terms of the bit error rates as well. Even though the AP is nonlinear, it iteratively searches the best solution in only one dimension, and the computational complexity is thus modest. We have analyzed the mean square error with respect to the signal-to-interference ratios for both the cooperative and non-cooperative multicell scenarios. From the simulation results, we observed that the channel estimation results via the AP benefit the following signal detection more than that via the least squares for both the cooperative and non-cooperative multicell scenarios.

Keywords

E1ICAW_2018_v16n1_17_f0001.png 이미지

Fig. 1. Performance comparison between ZF with AP-based channel

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Fig. 2. Performance comparison between ZF with CSI via AP and ZF with

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Fig. 3. BER comparison between ZF with AP and ZF with LS for different

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Fig. 4. BER comparison between ZF with AP and ZF with LS for different

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