Name
Abstract | ||
|---|---|---|
Human movement is strongly affected by the needs of humans to socialize or cooperate with each other, in one form or another, which results in some degree of clustering and correlation with their movements. In this paper, we exploit the movement correlations, and propose a new community-based sequential paging algorithm to reduce the paging signaling overhead. Our simulation results demonstrate that given the same location update scheme employed in the LTE-A network, the proposed algorithm is capable of reducing 20% of the paging messages in the best scenario when having high moving rate. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/VTCSpring.2013.6692482 | VTC Spring |
Keywords | Field | DocType |
movement correlations,cellular radio,lte-a cellular network,paging signaling overhead reduction,movement clustering,long term evolution,human movement,long-term-evolution advanced networks,community-based sequential paging algorithm,correlation methods,computer architecture,vectors,correlation,simulation | Cellular radio,Computer science,Computer network,Exploit,Cellular network,Paging,Cluster analysis,LTE Advanced | Conference |
ISSN | Citations | PageRank |
1550-2252 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Du Yang | 1 | 68 | 6.44 |
| Joaquim Bastos | 2 | 43 | 11.88 |
| Shahid Mumtaz | 3 | 878 | 110.36 |
| Christos V. Verikoukis | 4 | 1348 | 115.34 |
| Jonathan Rodriguez | 5 | 611 | 68.60 |