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Scheduling algorithms for downlink services in wireless networks: a Markov decision process approach

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4 Author(s)
Massey, W.A. ; Eng. Quadrangle, Princeton Univ., NJ, USA ; Ramakrisluian, K.G. ; Aravamudan, M. ; Pai, G.

We model the scheduling of emerging wireless data services as a Markov decision process. These services are characterized by real-time downlink data transfers such as those needed for personalized traffic, weather and business updates. Characterizing each differing service by its own time-criticality as well as reward and penalty values, we can numerically compute an optimal Markov decision scheduling rule for serving these requests. These computations suggest that we can formulate a simple near optimal rule for scheduling these services efficiently.

Published in:

Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE  (Volume:6 )

Date of Conference:

29 Nov.-3 Dec. 2004

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