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Poster De Conférence Année : 2019

Estimation of Clustered MIMO Channel Parameters exploiting Channel Statistics

Résumé

In addition to the sparsity property of a wireless channel, the channel multipath components are modeled as clusters of multirays due to scatterers distributed in the environment. This is a typical channel configuration that future multiple-input multiple-output (MIMO) wireless communication systems will have to cope with. Hence, there is a strong need to design new appropriate channel estimation techniques. A cluster of multirays can be characterized by its mean delay and its delay spreading. In a previous work, we have focused on estimating the mean delays of the different clusters based on a deterministic channel model. For the work to be complete, we propose in this paper to estimate the standard deviation of the delay spreading of each cluster based on a stochastic model, exploiting time delays distribution of the scattered signals.
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Dates et versions

hal-02167103 , version 1 (03-07-2019)

Identifiants

  • HAL Id : hal-02167103 , version 1

Citer

Ali Mohydeen, Yide Wang, Pascal Chargé, Oussama Bazzi. Estimation of Clustered MIMO Channel Parameters exploiting Channel Statistics. Fifth Sino-French Workshop on Information and Communication Technologies (SIFWICT 2019), Jun 2019, Nantes, France. ⟨hal-02167103⟩
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