KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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Segment Training Based Individual Channel Estimation for Multi-pair Two-Way Relay Network with Power Allocation

  • He, Xiandeng (State Key Laboratory of Integrated Service Networks, Xi'dian University) ;
  • Zhou, Ronghua (State Key Laboratory of Integrated Service Networks, Xi'dian University) ;
  • Chen, Nan (State Key Laboratory of Integrated Service Networks, Xi'dian University) ;
  • Zhang, Shun (State Key Laboratory of Integrated Service Networks, Xi'dian University)
  • Received : 2017.05.22
  • Accepted : 2017.09.19
  • Published : 2018.02.28
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Abstract

In this paper, we design a segment training based individual channel estimation (STICE) scheme for the classical two-way relay network (TWRN) with multi-pair sources (MPS) and amplify-and-forward (AF). We adopt the linear minimum mean square error (LMMSE) channel estimator to minimize the mean square error (MSE) without channel estimation error, where the optimal power allocation strategy from the relay for different sources is obtained. Then the MSE gains are given with different source pairs among the proposed power allocation scheme and the existing power allocation schemes. Numerical results show that the proposed method outperforms the existing ones.

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References

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