Abstract-This letter proposes a novel graph-based multi-cell scheduling framework to efficiently mitigate downlink inter-cell interference in small cell OFDMA networks. This framework incorporates dynamic clustering combined with channel-aware resource allocation to provide tunable quality of service measures at different levels. Our extensive evaluation study shows that a significant improvement in user's spectral efficiency is achievable, while also maintaining relatively high cell spectral efficiency via empirical tuning of re-use factor across the cells according to the required QoS constraints.
Additionally, in our previous work REF , we proposed an adaptive graph-based clustering framework for small cells combined with channel-aware resource allocation to provide tunable Quality of Service (QoS) measures at different levels.
Dynamic Clustering Framework for Multi-Cell Scheduling in Dense Small Cell Networks
IEEE Communications Letters
IEEE Communications Letters
Computer Science