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Erschienen in:
2014 | OriginalPaper | Buchkapitel
RadioProphet: Intelligent Radio Resource Deallocation for Cellular Networks
verfasst von : Junxian Huang, Feng Qian, Z. Morley Mao, Subhabrata Sen, Oliver Spatscheck
Erschienen in: Passive and Active Measurement
Verlag: Springer International Publishing
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Traditionally, radio resources are released in cellular networks by statically configured inactivity timers, causing substantial resource inefficiencies. We propose a novel system
RadioProphet (RP)
, which dynamically and intelligently determines in real time when to deallocate radio resources by predicting the network idle time based on traffic history. We evaluate
RP
using 7- month-long real-world cellular traces. Properly configured,
RP
correctly predicts 85.9% of idle time instances and achieves radio energy savings of 59.1% at the cost of 91.0% of signaling overhead, outperforming existing proposals. We also implement and evaluate
RP
on real Android devices, demonstrating its negligible runtime overhead.