English

Low-complexity Detection for Noncoherent Massive MIMO Communications

Information Theory 2026-03-25 v3 Signal Processing math.IT

Abstract

This work studies a point-to-point MIMO uplink in which user equipment transmits data to a base station employing a massive array. Signal detection is noncoherent and fading is assumed to follow the Weichselberger model. By exploiting the spatial stationarity of fading at the base station, a cyclostationary structure emerges naturally in the space-time representation, which suggests formulating the statistical properties of the received signal in the Karhunen-Lo\`eve domain. This allows the derivation of a low-complexity receiver that approximates maximum likelihood detection even for a moderate array size. The spectral analysis of the problem provides valuable insights on the design of space-time codewords.

Keywords

Cite

@article{arxiv.2505.08432,
  title  = {Low-complexity Detection for Noncoherent Massive MIMO Communications},
  author = {Marc Vilà-Insa and Jaume Riba},
  journal= {arXiv preprint arXiv:2505.08432},
  year   = {2026}
}

Comments

Accepted version of the article published in Journal on Advances in Signal Processing

R2 v1 2026-06-28T23:31:10.213Z