Abstract
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.
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Huang, J., Qian, F., Mao, Z.M., Sen, S., Spatscheck, O. (2014). RadioProphet: Intelligent Radio Resource Deallocation for Cellular Networks. In: Faloutsos, M., Kuzmanovic, A. (eds) Passive and Active Measurement. PAM 2014. Lecture Notes in Computer Science, vol 8362. Springer, Cham. https://doi.org/10.1007/978-3-319-04918-2_1
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DOI: https://doi.org/10.1007/978-3-319-04918-2_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04917-5
Online ISBN: 978-3-319-04918-2
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