Power control algorithm based on the interference statistic properties in heterogeneous networks

Abstract

This paper is focused on the issue of complexity and low accuracy of downlink (DL) power control in dense heterogeneous network. A novel power control algorithm based on the interference statistic properties that is accurate and results in easy-to-evaluate interference is proposed. Compared to the recent work on DL power control using complex iterations to manege interference, the proposed algorithm differs in two key features. First, the interference statistic model based on the stochastic geometry is exploited to estimate cross-tier interference that follows alpha stable distribution. Second, a centralized power control algorithm with the complementary cumulative distribution function (CCDF) of alpha stable distribution is utilized to constrain interference effectively. Simulation results show that the proposed algorithm can maintain the outage probability of macrocell user (MUE) within a certain range and improve the throughput with less exchange of information.