Rights statement: The final, definitive version of this article has been published in the Journal, Performance Evaluation 79, 2014, © ELSEVIER.
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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - An opportunistic and non-anticipating size-aware scheduling proposal for mean holding cost minimization in time-varying channels
AU - Taboada, Ianire
AU - Liberal, Fidel
AU - Jacko, Peter
N1 - The final, definitive version of this article has been published in the Journal, Performance Evaluation 79, 2014, © ELSEVIER.
PY - 2014/9
Y1 - 2014/9
N2 - In this paper we study how to design a scheduling strategy aimed at minimizing the average holding cost for flows with general size distribution when the feasible transmission rate of each user varies randomly over time. We employ a Whittle-index-based approach in order to achieve an opportunistic and non-anticipating size-aware scheduling index rule proposal. When the flow size distribution belongs to the Decreasing Hazard Rate class, we propose the so-called Attained Service Potential Improvement index rule, which consists in giving priority to the flows with the highest ratio between the current attained-service-dependent completion probability and the expected potential improvement of this completion probability. We further analyze the performance of the proposed scheduler, concluding that it outperforms well-known opportunistic disciplines.
AB - In this paper we study how to design a scheduling strategy aimed at minimizing the average holding cost for flows with general size distribution when the feasible transmission rate of each user varies randomly over time. We employ a Whittle-index-based approach in order to achieve an opportunistic and non-anticipating size-aware scheduling index rule proposal. When the flow size distribution belongs to the Decreasing Hazard Rate class, we propose the so-called Attained Service Potential Improvement index rule, which consists in giving priority to the flows with the highest ratio between the current attained-service-dependent completion probability and the expected potential improvement of this completion probability. We further analyze the performance of the proposed scheduler, concluding that it outperforms well-known opportunistic disciplines.
KW - Opportunistic scheduling
KW - Non-anticipating size-aware scheduling
KW - Mean holding cost minimization
KW - Whittle index
KW - Markov Decision Process
U2 - 10.1016/j.peva.2014.07.006
DO - 10.1016/j.peva.2014.07.006
M3 - Journal article
VL - 79
SP - 90
EP - 103
JO - Performance Evaluation
JF - Performance Evaluation
SN - 0166-5316
ER -