Use of learning, game theory and optimization as biomimetic approaches for Self-Organization in macro-femtocell coexistence

摘要

In this paper, we present the use of several Biomimetic approaches for Self Organization (SO) in heterogeneous scenarios where macrocell and femtocell networks coexist. Mainly these approaches are categorized in indirect biomimetics and direct biomimetics. Under indirect biomimetics we discuss 1) emerging paradigms in learning theory and 2) game theory for their potential to enable SO solutions in heterogeneous networks. By means of numerical results we demonstrate the pros and cons of these indirect biomimetic approaches for designing SO in macro-femto coexistence scenarios. Furthermore, we demonstrate the use of direct biomimetic approaches for designing SO by exploiting one to one mapping between a natural SO system and our system model for heterogeneous networks based on Outdoor Fixed Relays (OFR). Numerical results show that the proposed analytical solution can enhance wireless backhaul capacity of the OFR based femtocells by adapting the macro base station (BS) antenna tilts in a distributed and self organizing manner.