摘要: The exponentially increasing demand for wireless data services requires a massive network densification that is neither economically nor ecologically viable with the current cellular system architectures. A promising solution to this problem concept of small-cell networks (SCNs), which founded by idea very dense deployment self-organizing, low-cost, low-power, base stations (BSs). Although SCNs have potential significantly increase capacity while reducing their energy consumption, they pose many new challenges optimal design. We show in article how large analysis based on random matrix theory (RMT) can provide tight and tractable approximations key performance measures SCNs.
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