Interference Alignment in Heterogeneous Networks Using Pico Cell Clustering.

Ryuma Seno Tomoaki Ohtsuki Wenjie Jiang Yasushi Takatori

Published in: VTC Fall (2015)

Keyphrases

heterogeneous networks
heterogeneous information networks
clustering algorithm
unsupervised learning
anomaly detection
multiple types
real world
learning algorithm
social networks
high level
feature extraction
training data
low level
co occurrence
communication networks
link prediction