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- W2091736188 abstract "This work studies the power optimal dynamic scheduling problem in multi-channel multi-user wireless access networks. Users have quality-of-service (QoS) requirements on the minimum rates with statistical delay guarantees. Only one user is allowed to transmit over a channel in a given time slot. This work considers two scenarios: homogeneous and heterogeneous users. For the former scenario, the optimal scheduling policy can be derived, and an online scheduling algorithm for the optimal policy is proposed using online time-averaging without requiring a-priori known fading statistics. For the latter scenario, the optimal scheduling problem is combinatorially hard; hence, even when the fading statistics are available, computing the optimal policy is intractable. Consequently, this work develops a sub-optimal online scheduling algorithm with linear complexity which does not require a-priori known fading statistics. Moreover, the scheduling algorithm satisfies the QoS constraints for the users. Illustrative results demonstrate the performance of the proposed scheduling algorithms in various settings." @default.
- W2091736188 created "2016-06-24" @default.
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- W2091736188 date "2013-04-01" @default.
- W2091736188 modified "2023-09-25" @default.
- W2091736188 title "Online QoS-based dynamic scheduling in multi-channel wireless networks" @default.
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- W2091736188 doi "https://doi.org/10.1109/wcnc.2013.6554629" @default.
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