Stochastic Geometry Modeling and Performance Evaluation of MIMO Cellular Networks Using the Equivalent-in-Distribution (EiD)-Based Approach
| Autor: | Marco Di Renzo, Wei Lu |
|---|---|
| Přispěvatelé: | Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2015 |
| Předmět: |
MIMO
Signal-to-interference-plus-noise ratio Data_CODINGANDINFORMATIONTHEORY Multi-user MIMO Precoding [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] Electronic engineering Fading Electrical and Electronic Engineering [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Random variable Algorithm Stochastic geometry Computer Science::Information Theory Mathematics Rayleigh fading |
| Zdroj: | IEEE Transactions on Communications IEEE Transactions on Communications, Institute of Electrical and Electronics Engineers, 2015, 63 (3), pp.977-996. ⟨10.1109/tcomm.2015.2388760⟩ |
| ISSN: | 0090-6778 |
| Popis: | International audience; The equivalent-in-distribution (EiD)-based approach to the analysis of single-input-single-output (SISO) cellular networks for transmission over Rayleigh fading channels has recently been introduced [1]. Its rationale relies upon formulating the aggregate other-cell interference in terms of an infinite summation of independent and conditionally distributed Gaussian random variables (RVs). This approach leads to exact integral expressions of the error probability for arbitrary bi-dimensional modulations. In this paper, the EiD-based approach is generalized to the performance analysis of multiple-input-multiple-output (MIMO) cellular networks for transmission over Rayleigh fading channels. The proposed mathematical formulation allows us to study a large number of MIMO arrangements, including receive-diversity, spatial-multiplexing, orthogonal space-time block coding, zero-forcing reception and zero-forcing precoding. Depending on the MIMO setup, either exact or approximate integral expressions of the error probability are provided. In the presence of other-cell interference and noise, the error probability is formulated in terms of a two-fold integral. In interference-limited cellular networks, the mathematical framework simplifies to a single integral expression. As a byproduct, the proposed approach enables us to study SISO cellular networks for transmission over Nakagami-m fading channels. The mathematical analysis is substantiated with the aid of extensive Monte Carlo simulations. |
| Databáze: | OpenAIRE |
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