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Code-aided Antenna Selection for Spectrally Shaped DFT-precoded OFDM Spatial Modulation

Abstract : In this paper, we investigate coded antenna selection for spectrally shaped Spatial Modulation (SM). Spectrally shaped SM aims at reducing the complex envelope fluctuations. This is done at the expense of a bandwidth expansion given by a roll-off factor β when root raised cosine (RRC) spectral filtering is considered. Nevertheless, this extra redundancy can be exploited by enabling the use of redundancy on the bit antenna selection stream. Indeed, we can associate a high performance error correcting code with a corresponding rate R = γ+β used to encode antenna selection bits and thus, we can achieve better performance at the receiver. Simulation results show that the proposed scheme exhibit a lower peak-to-average power ratio (PAPR) compared with the conventional SM scheme while achieving enhanced performance and diversity when an efficient coding scheme is used to improve antenna selection.
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Submitted on : Saturday, May 16, 2020 - 8:46:35 AM
Last modification on : Monday, July 4, 2022 - 9:32:18 AM


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  • HAL Id : hal-02603501, version 1
  • OATAO : 22320


Bilel Raddadi, Nathalie Thomas, Charly Poulliat, Marie-Laure Boucheret. Code-aided Antenna Selection for Spectrally Shaped DFT-precoded OFDM Spatial Modulation. 28th IEEE International Conference on Personal, Indoor and Mobile Radio Communications (PIMRC 2017), Oct 2017, Montreal, Quebec, Canada. pp.1-6. ⟨hal-02603501⟩



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