Green Small-Cell Networks

Jakob Hoydis (1, 2) , Mari Kobayashi (1) , Merouane Debbah (2)

1 E3S - Supélec Sciences des Systèmes
2 Chaire Radio Flexible - Chaire Radio Flexible Alcatel-Lucent/Supélec

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.

Mots clés: cellular networks; cellular system architectures; energy consumption; green small-cell networks; network densification; optimal system design; random matrix theory; wireless data services; CoMP; heterogeneous networks

Domaines: Théorie de l'information [cs.IT]; Théorie de l'information et codage [math.IT]; Réseaux et télécommunications [cs.NI]

Jakob Hoydis, Mari Kobayashi, Merouane Debbah. Green Small-Cell Networks. IEEE Vehicular Technology Magazine, 2011, 6 (1), pp.37 - 43. ⟨10.1109/MVT.2010.939904⟩. ⟨hal-00648111⟩