Abstract
Pilot contamination caused by unavoidable reuse of pilots in adjacent cell limits the performance of the massive multiple-input multiple-output (MIMO) systems severely. In this paper, we propose a hypergraph-coloring-based pilot allocation (HCPA) algorithm for pilot contamination mitigation, which can improve the system sum rate with the minimum achievable data rate requirement. In the proposed algorithm, an interference relationship graph with hyperedges to restrict the minimum uplink achievable rate is established, and then the pilots are allocated by graph coloring method. The numerical results show that the proposed algorithm can improve both the minimum achievable data rate and the total uplink sum rate.
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Acknowledgements
This paper is supported by National Science and Technology Major Project (No. 2016ZX03001009-003), NSF of China (No. 61502046), the 111 project (No. B17007), and Director Funds of Beijing Key Laboratory of Network System Architecture and Convergence (2017BKL-NSAC-ZJ-07).
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Lian, Y., Zhang, T., Wang, Y. (2019). Hypergraph-Coloring-Based Pilot Allocation Algorithm for Massive MIMO Systems. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-13-6264-4_95
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DOI: https://doi.org/10.1007/978-981-13-6264-4_95
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