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Low-Complexity K-Beams Clustering for Intra-Cell Pilot Reuse in Massive MIMO Communications
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  • Dariel Pereira-Ruisánchez,
  • Óscar Fresnedo,
  • Darian Pérez-Adán,
  • Luis Castedo
Dariel Pereira-Ruisánchez

Corresponding Author:[email protected]

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Óscar Fresnedo
Darian Pérez-Adán
Luis Castedo


Massive MIMO (mMIMO) communication systems are recognized as key enablers of next-generation wireless networks. However, the orthogonal pilot assignments typical of multiple-input multiple-output (MIMO) systems are not wellsuited to emerging use cases characterized by short channel coherence intervals and high number of connected user equipments (UEs). In this work, we propose a novel approach for intracell pilot reuse that leverages the spatial features of correlated mMIMO channels to attain low pilot contamination while using a small number of pilot sequences. The first part of the proposed solution is a groundbreaking clustering algorithm termed Kbeams which splits the complex intra-cell pilot allocation into tractable problems without significant loss of optimality. Then, we introduce a heuristic approach called best-first pilot assignment (BFPA) designed to manage intra-cluster pilot assignments by minimizing interference among the most contaminating UEs. We evaluate the performance of our proposed solution (K-beams+BFPA) in terms of sum-normalized mean-squared error (NMSE) and sum-rate under various challenging network setups. Simulation results show that our approach is a robust alternative to more computationally demanding benchmarks.
27 May 2024Submitted to TechRxiv
03 Jun 2024Published in TechRxiv