Title
Traffic-Aware Energy-Saving Base Station Sleeping and Clustering in Cooperative Networks.
Abstract
We consider energy efficient base station (BS) sleeping and clustering problems in cooperative cellular networks, where clusters of base stations jointly transmit to users. Our key idea of energy saving is to exploit spatio-temporal fluctuation of traffic demand, and use minimal energy to provide achievable data rate only slightly greater than varying traffic demand. However, it is highly challeng...
Year
DOI
Venue
2018
10.1109/TWC.2017.2776916
IEEE Transactions on Wireless Communications
Keywords
Field
DocType
Base stations,Heuristic algorithms,Cellular networks,Clustering algorithms,Complexity theory,Energy consumption,Computer architecture
Base station,Mathematical optimization,Brute-force search,Efficient energy use,Queue,Computer network,Greedy algorithm,Cellular network,Cluster analysis,Energy consumption,Mathematics
Journal
Volume
Issue
ISSN
17
2
1536-1276
Citations 
PageRank 
References 
2
0.37
0
Authors
3
Name
Order
Citations
PageRank
Jihwan Kim1273.36
Hyang-Won Lee223721.45
Song Chong32113143.72