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18 February 2022 An uplink channel estimation processor for 5G small cell
Biao Long, Dake Liu, Yipeng Sun
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Proceedings Volume 12162, International Conference on High Performance Computing and Communication (HPCCE 2021); 121620M (2022) https://doi.org/10.1117/12.2628075
Event: 2021 International Conference on High Performance Computing and Communication, 2021, Guangzhou, China
Abstract
With the gradual rollout of 5G network commercial deployment, as the main force of indoor deployment, 5G small cell is becoming more and more popular. In recent years, there are few high-performance channel estimators for small cell. The research work of this paper is to achieve a low-delay, low-overhead, relatively universal channel estimation module, which provides a reference for the design of channel estimator for 4G/5G small cell. By designing the instruction set of a dedicated instruction set processor, the function of channel estimation was realized on the vector processor. Through instruction acceleration, compared with the existing general vector processing instruction set, the instruction overhead of the LS estimation module is reduced by 50% and the Wiener interpolation module in the frequency domain is reduced by 37.5%. And the performance of Wiener filter interpolation in frequency domain is 0-2db better than that of linear interpolation in frequency domain, no performance penalty associated with the computing cost reductions.
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Biao Long, Dake Liu, and Yipeng Sun "An uplink channel estimation processor for 5G small cell", Proc. SPIE 12162, International Conference on High Performance Computing and Communication (HPCCE 2021), 121620M (18 February 2022); https://doi.org/10.1117/12.2628075
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KEYWORDS
Filtering (signal processing)
Orthogonal frequency division multiplexing
Computer simulations
Modulation
Signal to noise ratio
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