mlsanityData to 14 Oct 2026

Unsupervised Learning for Pilot-free Transmission in 3GPP MIMO Systems

arXiv 2302.02191 ↗First posted 4 Feb 2023cs.IT cs.LG eess.SPcited by 0

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Abstract (arXiv)

Reference signals overhead reduction has recently evolved as an effective solution for improving the system spectral efficiency. This paper introduces a new downlink data structure that is free from demodulation reference signals (DM-RS), and hence does not require any channel estimation at the receiver. The new proposed data transmission structure involves a simple repetition step of part of the user data across the different sub-bands. Exploiting the repetition structure at the user side, it is shown that reliable recovery is possible via canonical correlation analysis. This paper also proposes two effective mechanisms for boosting the CCA performance in OFDM systems; one for repetition pattern selection and another to deal with the severe frequency selectivity issues. The proposed approach exhibits favorable complexity-performance tradeoff, rendering it appealing for practical implementation. Numerical results, using a 3GPP link-level testbench, demonstrate the superiority of the proposed approach relative to the state-of-the-art methods.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 17 references that are in the map. First posted on arXiv 4 Feb 2023.

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References · 2

  1. 2019A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problemscited by 160
  2. 2020Reliable Detection of Unknown Cell-Edge Users Via Canonical Correlation Analysiscited by 3

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