Abstract-A novel modularity-based user-centric (MUC) clustering is conceived for resource allocation in ultra dense networks (UDNs), in order to maximize the sum-rate per orthogonal resource block. The idea of MUC clustering is to decompose the UDN into several sub-networks by exploiting the inherent group structure of user equipments. In particular, we propose a modified Louvain method for MUC clustering relying on efficient resource allocation heuristics. Our numerical results show the superiority of our MUC design.
In REF , Lin et al. presented an optimization framework of the modularity-based user-centric clustering and resource allocation for UDNs to maximize the sum-rate per orthogonal RB.
Modularity-Based User-Centric Clustering and Resource Allocation for Ultra Dense Networks
IEEE Transactions on Vehicular Technology
IEEE Transactions on Vehicular Technology
Computer Science