Name
Title | ||
|---|---|---|
Modularity-Based User-Centric Clustering And Resource Allocation For Ultra Dense Networks |
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TVT.2018.2875547 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY |
Keywords | Field | DocType |
Ultra dense networks, user-centric clustering, resource allocation, unsupervised learning | Resource management,Computer science,Computer network,Heuristics,Resource allocation,Interference (wave propagation),Ultra dense,Cluster analysis,Modularity,Distributed computing,User-centered design | Journal |
Volume | Issue | ISSN |
67 | 12 | 0018-9545 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Lin | 1 | 8 | 0.78 |
| Rong Zhang | 2 | 704 | 54.69 |
| Luxi Yang | 3 | 1180 | 118.08 |
| Lajos Hanzo | 4 | 10889 | 849.85 |