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Raptor Code for Selecting a Receiver Antenna

Authors:
Djedjiga Benzid
Michel Kadoch

Keywords: antenna selection; CSI; m-MIMO; pilot-contamination; water-filling

Abstract:
Massive Multiple-Input Multiple-Output (m-MIMO) is a promising technique for operating fifth-generation wireless networks (5G). However, this technique suffers from the radio frequency chain's higher cost and processing complexity. One solution to deal with this problem is improving the antenna selection method. Nevertheless, many antenna selection methods require knowledge of channel state information (CSI) to select the best performing antenna subset. Which is impossible due to the driver contamination issue in m-MIMO. Furthermore, the exhaustive search method used in conventional multiple-Input Multiple-Output is inefficient for the m-MIMO system. Consequently, this paper proposes an optimal selection algorithm for determining the best subset of antennas at the receiver when CSI is unavailable. For this purpose, we propose a water-filling algorithm based on the mutual information maximization criterion and Raptor-decoded symbols. Numerical results show that our proposed selection algorithm attains close to optimal values as the exhaustive search method.

Pages: 13 to 17

Copyright: Copyright (c) IARIA, 2022

Publication date: May 22, 2022

Published in: conference

ISSN: 2308-4219

ISBN: 978-1-61208-973-7

Location: Venice, Italy

Dates: from May 22, 2022 to May 26, 2022