English

Massive MIMO Extensions to the COST 2100 Channel Model: Modeling and Validation

Signal Processing 2019-05-14 v1 Information Theory math.IT

Abstract

To enable realistic studies of massive multiple-input multiple-output systems, the COST 2100 channel model is extended based on measurements. First, the concept of a base station-side visibility region (BS-VR) is proposed to model the appearance and disappearance of clusters when using a physically-large array. We find that BS-VR lifetimes are exponentially distributed, and that the number of BS-VRs is Poisson distributed with intensity proportional to the sum of the array length and the mean lifetime. Simulations suggest that under certain conditions longer lifetimes can help decorrelating closely-located users. Second, the concept of a multipath component visibility region (MPC-VR) is proposed to model birth-death processes of individual MPCs at the mobile station side. We find that both MPC lifetimes and MPC-VR radii are lognormally distributed. Simulations suggest that unless MPC-VRs are applied the channel condition number is overestimated. Key statistical properties of the proposed extensions, e.g., autocorrelation functions, maximum likelihood estimators, and Cramer-Rao bounds, are derived and analyzed.

Cite

@article{arxiv.1905.04931,
  title  = {Massive MIMO Extensions to the COST 2100 Channel Model: Modeling and Validation},
  author = {Jose Flordelis and Xuhong Li and Ove Edfors and Fredrik Tufvesson},
  journal= {arXiv preprint arXiv:1905.04931},
  year   = {2019}
}

Comments

Submitted to IEEE Transactions of Wireless Communications

R2 v1 2026-06-23T09:04:29.773Z