Improving Macrocell - Small Cell Coexistence through Adaptive Interference Draining

TL;DR

This paper introduces a game-theoretic interference draining method for macrocell-small cell coexistence, significantly improving spectrum efficiency and user rates through cooperative resource management and modified power allocation.

Contribution

It proposes a novel interference draining strategy combined with a modified water-filling policy, enabling better coexistence and higher data rates in heterogeneous cellular networks.

Findings

Achieves up to 37% increase in average user rate.

Reduces interference for macrocell and small cell users.

Enhances spectrum utilization through cooperative interference management.

Abstract

The deployment of underlay small base stations (SBSs) is expected to significantly boost the spectrum efficiency and the coverage of next-generation cellular networks. However, the coexistence of SBSs underlaid to an existing macro-cellular network faces important challenges, notably in terms of spectrum sharing and interference management. In this paper, we propose a novel game-theoretic model that enables the SBSs to optimize their transmission rates by making decisions on the resource occupation jointly in the frequency and spatial domains. This procedure, known as interference draining, is performed among cooperative SBSs and allows to drastically reduce the interference experienced by both macro- and small cell users. At the macrocell side, we consider a modified water-filling policy for the power allocation that allows each macrocell user (MUE) to focus the transmissions on the degrees of freedom over which the MUE experiences the best channel and interference conditions. This approach not only represents an effective way to decrease the received interference at the MUEs but also grants the SBSs tier additional transmission opportunities and allows for a more agile interference management. Simulation results show that the proposed approach yields significant gains at both macrocell and small cell tiers, in terms of average achievable rate per user, reaching up to 37%, relative to the non-cooperative case, for a network with 150 MUEs and 200 SBSs.