Non-Machine Learning Cell Outage Compensation for a Three Tier Heterogeneous Network

Abstract

A cell outage compensation algorithm based on Received Signal Strength Indicator (RSSI) for a three-tier hetrogeneous network (HetNet) is proposed in this paper. The algorithm is non-machine learning based to reduce the complexity of the compensation scheme, and to eliminate the need for training. Simulation results show that cell outage compensation is successfully achieved, provided that base stations (BSs) of sufficient capacity are deployed near users in outage. The RSSI values after compensation are also higher than those during the outage. Additionally, the proposed algorithm outperforms a k-means clustering scheme when allocating users in outage to neighbouring BSs.