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In two-tier femtocell networks, adjusting the transmission power values of femtocell base stations (BSs) such that indoor users receive high signal quality while limiting leakage to outdoor users is an important problem. This paper proposes a novel distributed and self-optimized power adjustment algorithm for two-tier femtocell networks, in which a BS adjusts the transmission power based on the signal quality of neighboring BSs. Achieving fairness among users with minimal information exchange is desired. There are no predefined target parameters used to adjust transmission power, contrary to existing approaches in the literature. The convergence properties of the algorithm under fixed and time-varying communication infrastructures are investigated. The performance is further verified by simulations and comparisons with other algorithms for the coverage problem. [ABSTRACT FROM PUBLISHER]

In this letter, a consensus-based distributed coverage algorithm is proposed for self organization in two-tier femtocell networks. One key feature of the algorithm is that it achieves fairness among users in terms of signal quality without relying on any predefined target values. The stability of the proposed algorithm is investigated using quadratic Lyapunov functions, which also allow us to analyze its convergence rate properties. The simulation results are not only in agreement with the theoretical analysis, but also demonstrate significant improvement in terms of overall network performance. [ABSTRACT FROM PUBLISHER]