Proactive radio resource management using optimal stopping theory

Poulakis, Marios I.; Vassaki, Stavroula; Hadjiefthymiades, Stathes

doi:10.1109/wowmom.2009.5282456

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…This scheme, calculates, based on information collected from different sources (e.g., the network, historical data), the approximate handover time. Such estimate can be exploited by intelligent resource management schemes and advanced services [39,40]. The handover time estimation supplements the decisions taken by the previously discussed algorithms (i.e., location prediction) to deliver an integrated mobile predictive model.…”

Section: Casementioning

confidence: 99%

Efficient Location Prediction in Mobile Cellular Networks

Anagnostopoulos

Hadjiefthymiades

2011

Int J Wireless Inf Networks

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Mobile context-aware applications are capable of predicting the context of the user in order to operate proactively and provide advanced services. We propose an efficient spatial context classifier and a short-term predictor for the future location of a mobile user in cellular networks. We introduce different variants of the considered location predictor dealing with location (cell) identifiers and directions. Symbolic location classification is treated as a supervised learning problem. We evaluate the prediction efficiency and accuracy of the proposed predictors through synthetic and real-world traces and compare our solution with existing algorithms for location prediction. Our findings are very promising for the location prediction problem and the adoption of proactive context-aware applications and services.

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Section: Casementioning

confidence: 99%

Efficient Location Prediction in Mobile Cellular Networks

Anagnostopoulos

Hadjiefthymiades

2011

Int J Wireless Inf Networks

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“…The authors in [19] propose a reactive resource management model by adopting the 'car-parking' OST problem [27]. The model in [19] reduces the dropping or forced termination probability (caused by handovers) in wireless cellular telecommunications.…”

Section: Related Workmentioning

confidence: 99%

“…The model in [19] reduces the dropping or forced termination probability (caused by handovers) in wireless cellular telecommunications. The authors in [19] assume a Poisson data distribution for deriving the optimal stopping decisions. In our OST model, there is no precondition for the underlying data distribution.…”

Section: Related Workmentioning

confidence: 99%

Optimal, quality-aware scheduling of data consumption in mobile ad hoc networks

Anagnostopoulos

Hadjiefthymiades

2012

Journal of Parallel and Distributed Computing

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“…Specifically, there are proposals for optimal decisions on problems which deal with proactive resource management, opportunistic scheduling in ad hoc networks and probabilistic information forwarding in delay-tolerant networks, as well as optimal delayed acknowledgements for wireless networks and controlling spectrum access in cognitive radio networks. The authors in [23] adopt the car-parking problem [31] for reducing the dropping or forced termination probability in wireless cellular systems attributed to handovers. The authors in [34] proposed a distributed opportunistic scheduling for ad hoc communications based on the maximal rate of return problem.…”

Section: Related Workmentioning

confidence: 99%