Raptor code to mitigate Pilot contamination in Massive MiMo | Zendy

Djedjiga Benzid | Zendy; Michel Kadoch | Zendy

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Raptor code to mitigate Pilot contamination in Massive MiMo

Author(s) -

Djedjiga Benzid,

Michel Kadoch

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.04.044

Subject(s) - computer science , mimo , channel (broadcasting) , code (set theory) , minimum mean square error , scheme (mathematics) , real time computing , wireless , 3g mimo , algorithm , telecommunications , statistics , mathematics , set (abstract data type) , estimator , programming language , mathematical analysis

Very large multi- input multi- output or massive MiMo (m-MiMo) is a promising approach to enhance energy efficiency for next generation wireless network 5G. However, m-MiMo suffers from pilot contamination which limits its performance. To resolve this issue, a new scheme is proposed in the present article, in which receiver uses Raptor decoded symbols conjointly with Minimum Mean Square Error (MMSE) technique. This method does not require pilot symbols at receiver to estimate the channel. Simulation results agree that the new system performs the optimal case when information of channel is perfectly known at the receiver.

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