A novel fractional uplink power control framework for self-organizing networks

Abstract

Internet of things and network densification bring significant challenges to uplink management. Only depending on optimization algorithm enhancements is not enough for uplink transmission. To control intercell interference, Fractional Uplink Power Control (FUPC) should be optimized from network-wide perspective, which has to find a better traffic distribution model. Conventionally, traffic distribution is geographic-based, and ineffective due to tricky locating efforts. This paper proposes a novel uplink power management framework for Self-Organizing Networks (SON), which firstly builds up pathloss-based traffic distribution model and then makes the decision of FUPC based on the model. PathLoss-based Traffic Distribution (PLTD) aggregates traffic based on the propagation condition of traffic that is defined as the pathloss between the position generating the traffic and surrounding cells. Simulations show that the improvement in optimization efficiency of FUPC with PLTD can be up to 40% compared to conventional GeoGraphic-based Traffic Distribution (GGTD).