Interference prediction framework for jointed macro/small-cell network interplay performance analysis under heterogeneous scope

Abstract

Deployment of uncoordinated small-cell networks are frequent and pose considerable challenges in resource management of macro-cell networks. Proliferation of mobile users and newly introduced applications with variant traffic distribution patterns elevates the probability of interference occurrence, as physical channels can be co-assigned and co-shared simultaneously at the same geographical region, thus degrading experienced QoS and energy efficiency while contributing in greener mobile networking environments. For the purposes of safeguarding the sustainability and viability of future operation for macro and small-cell interplay architectures, it is beneficial to render a mathematical framework that pre-assesses the probability of observed interference for macro users in the downlink for real networks, paving the venue for future studies to derive strategies for remedying such complexities. We demonstrate through extensive simulations the efficiency of the proposed analytical scheme. We proceed with investigating the association of theoretical and simulated results, thus converging on the validity of this measurement.