The paper presents a user scheduling scheme and pilot assignment strategy designed for IoT devices in Massive MIMO (M-MIMO) systems. The key focus is on mitigating pilot contamination, a major obstacle to improving spectral efficiency (SE) and system scalability in M-MIMO networks.
The authors utilize a user clustering-based pilot allocation scheme to boost IoT device scalability in M-MIMO systems. Additionally, the proposed smart pilot allocation minimizes interference and enhances SE by treating pilot assignment as a graph coloring problem, optimizing it through integer linear programming (ILP).
Recognizing the computational complexity of ILP, the authors introduce a binary search-based heuristic predicated on interference threshold to expedite the computation, while maintaining a near-optimal solution.
The simulation results show a significant decrease in the required pilot overhead (about 17%), and substantial enhancement in SE (about 8-14%) compared to the baseline approach without ILP.
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by Muhammad Kam... о arxiv.org 04-17-2024
https://arxiv.org/pdf/2404.10188.pdfГлибші Запити