Name
Abstract | ||
|---|---|---|
The communication channel power gain to the nearest neighbor of a node in a wireless communication network is not necessarily the largest among all neighbors due to fading. The probability that the kth nearest neighbor of a node has the best communication channel with the highest power gain in a 2-D network with homogeneous Poisson distribution of nodes is derived for a general fading environment. The result is specialized to the case where the communication links are modeled as generalized-gamma fading channels. The analytical results are verified and illustrated by computer simulations and numerical results. Some applications of the new theory are also presented. A novel criterion that represents the fading severity, i.e., the generalized amount of fading (GAF), is defined, and its value as an important measure for fading channels is justified. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TVT.2014.2322626 | Vehicular Technology, IEEE Transactions |
Keywords | Field | DocType |
poisson distribution,fading channels,radio networks,2d network,poisson field,best neighbor communication,communication channel,communication links,fading severity,general fading environment,generalized-gamma fading channels,homogeneous poisson distribution,power gain,probability,wireless communication network,fading,poisson point process (ppp),interference,nearest neighbor,wireless communication,communication channels,computational modeling,indexes | k-nearest neighbors algorithm,Diversity scheme,Wireless,Computer science,Fading,Computer network,Communication channel,Electronic engineering,Poisson distribution,Fading distribution,Channel state information | Journal |
Volume | Issue | ISSN |
64 | 2 | 0018-9545 |
Citations | PageRank | References |
1 | 0.36 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aydin Behnad | 1 | 95 | 11.07 |
| Norman C. Beaulieu | 2 | 2372 | 285.49 |