Green small-cell networks

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 is the concept of small-cell networks SCNs, which is founded by the idea of a very dense deployment of self-organizing, low-cost, low-power, base stations BSs. Although SCNs have the potential to significantly increase the capacity of cellular networks while reducing their energy consumption, they pose many new challenges to the optimal system design. We show in this article how a large system analysis based on random matrix theory RMT can provide tight and tractable approximations of key performance measures of SCNs.