Capacity and energy efficiency analysis of dense HetNets with biasing

Forecasts show that traffic demand will continue to grow exponentially over the foreseeable future and mobile operators will have to upgrade and densify their networks to support this traffic demand. However, due to the spatiotemporal variation of traffic, some base stations (BSs) may remain idle during low traffic conditions. In this paper, we use tools from stochastic geometry to analyze the capacity and energy efficiency (EE) performance of a dense heterogeneous network (HetNet). We derive a multi-user connectivity model based on the LTE standard to determine realistic BS density configurations. We implement conventional sleep mode and investigate the effect of biasing on the capacity and EE performance of the HetNet. Our results show that the prevailing user density influences the HetNet performance, and that conventional sleep mode significantly enhances the EE performance. Appropriate biasing of the HetNet results in further EE performance enhancement.