Name
Title | ||
|---|---|---|
A Stochastic Geometry Approach to Analyzing Cellular Networks with Semi-Static Clustering. |
Abstract | ||
|---|---|---|
Static base-station clustering allows clustered transmitters to jointly serve a group of users and thus eliminate the intra-cluster interference. The network performance is then bottlenecked by the cluster-edge users. Semi-static clustering can help improve the performance along the cluster edges by time-sharing between different clustering patterns. We propose a simple clustering and user scheduling algorithm to gauge the performance gain of semi-static clustering. Under a stochastic geometry framework, we derive analytical expressions for the coverage and rate of a user at a given location. As the cluster size goes to infinity, we show that the outage probability of semi-static clustering decays at the same order as that of static clustering. Thus, in the asymptotic regime, the performance gain provided by semi-static clustering can be characterized by a linear factor. Numerical results demonstrate the gain of semi-static clustering in the non-asymptotic regime. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/GLOCOM.2015.7417282 | IEEE Global Communications Conference |
Field | DocType | ISSN |
Stochastic geometry,Mathematical optimization,Expression (mathematics),Correlation clustering,Computer science,Scheduling (computing),Algorithm,Stochastic process,Real-time computing,Cellular network,Cluster analysis,Network performance | Conference | 2334-0983 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Talha A. Khan | 1 | 36 | 4.48 |
| Xinchen Zhang | 2 | 311 | 13.32 |
| Robert W. Heath | 3 | 14415 | 885.64 |