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Computer Science > Information Theory

arXiv:2108.08357 (cs)
[Submitted on 18 Aug 2021]

Title:A Non-Stationary Channel Model with Correlated NLoS/LoS States for ELAA-mMIMO

Authors:Jiuyu Liu (1), Yi Ma (1), Jinfei Wang (1), Na Yi (1), Songyan Xue (2), Rahim Tafazolli (1), Fan Wang (2)
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Abstract:In this paper, a novel spatially non-stationary channel model is proposed for link-level computer simulations of massive multiple-input multiple-output (mMIMO) with extremely large aperture array (ELAA). The proposed channel model allows a mix of non-line-of-sight (NLoS) and LoS links between a user and service antennas. The NLoS/LoS state of each link is characterized by a binary random variable, which obeys a correlated Bernoulli distribution. The correlation is described in the form of an exponentially decaying window. In addition, the proposed model incorporates shadowing effects which are non-identical for NLoS and LoS states. It is demonstrated, through computer emulation, that the proposed model can capture almost all spatially non-stationary fading behaviors of the ELAA-mMIMO channel. Moreover, it has a low implementational complexity. With the proposed channel model, Monte-Carlo simulations are carried out to evaluate the channel capacity of ELAA-mMIMO. It is shown that the ELAA-mMIMO channel capacity has considerably different stochastic characteristics from the conventional mMIMO due to the presence of channel spatial non-stationarity.
Subjects: Information Theory (cs.IT); Signal Processing (eess.SP)
Cite as: arXiv:2108.08357 [cs.IT]
  (or arXiv:2108.08357v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2108.08357
Journal reference: IEEE Global Communications Conference (GLOBECOM), 2021, pp. 1-6
Related DOI: https://doi.org/10.1109/GLOBECOM46510.2021.9685536

Submission history

From: Jiuyu Liu [view email]
[v1] Wed, 18 Aug 2021 19:24:47 UTC (2,385 KB)
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