Abstract | ||
---|---|---|
The Poisson point process (PPP) has been widely employed to model wireless networks and analyze their performance. The PPP has the property that nodes are conditionally independent from each other. As such, it may not be a suitable model for many networks, where there exists repulsion among the nodes. In order to address this limitation, we adopt a Poisson hardcore process (PHCP), in which no two ... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TWC.2017.2740387 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
Interference,Radio transmitters,Wireless networks,Cellular networks,Analytical models | Stochastic geometry,Wireless network,Transmitter,Computer science,Computer network,Poisson distribution,Heterogeneous network,Poisson point process,Stochastic geometry models of wireless networks,Coverage probability | Journal |
Volume | Issue | ISSN |
16 | 11 | 1536-1276 |
Citations | PageRank | References |
4 | 0.41 | 27 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ian Flint | 1 | 82 | 5.53 |
Hanbae Kong | 2 | 223 | 20.47 |
Nicolas Privault | 3 | 76 | 9.43 |
Ping Wang | 4 | 4153 | 216.93 |
Niyato Dusit | 5 | 9486 | 547.06 |