Performance Modelling and Analysis of the Sleep-Mode in IEEE802.16e WMAN

Park, Yunju; Hwang, Gang Uk

doi:10.1109/vetecs.2007.575

Cited by 28 publications

(24 citation statements)

References 9 publications

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“…2(c)). We naturally find that the expected sleep duration decreases as λ increases, as foreseen in (9). The physical explanation is that, a large arrival rate forces the mobile to be available after shorter breaks, otherwise the cost is too high.…”

Section: Policysupporting

confidence: 59%

“…The first approach chronologically is found in [3]. In an effort to relax some assumptions, [4]- [6] study the impact of outgoing traffic, [7], [8] study the effect of setup time while [9]- [11] deal with queueing implications in the analysis. [12] deals with the multiclass version of sleep mode in IEEE 802.16e.…”

Section: A Related Workmentioning

confidence: 99%

“…The cost V , captures the main performance measures: energy consumed during the sleep duration and 9 (a) Impact on optimal expected sleep duration extra delay incurred due to the sleep mode. The cost V is a weighted sum of both metrics.…”

Section: Numerical Investigationmentioning

confidence: 99%

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Optimal Control of Sleep Periods for Wireless Terminals

Azad

Alouf²,

Altman³

et al. 2011

IEEE J. Select. Areas Commun.

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Abstract-We consider a mobile connected to a base station, saving energy by shutting off its transceiver, and we try to answer the fundamental question: what is the optimal sleep policy? Firstly, we study the model from optimal control perspective. We consider off-times (periods of inactivity) of unknown duration. We study the question of scheduling "waking up" instants in which the mobile communicates with the base station and checks whether the inactivity period is over. There is a cost proportional to the delay from the moment the off-time ends until the mobile discovers it, a (small) running cost while the mobile is sleeping and also a cost for waking up.We show that constant sleep periods are optimal for Poisson arrivals and derive the optimal period. We show that this structure does not hold for other off-time distributions but manage to obtain suboptimal solutions which perform strictly better than the constant one. We finally obtain structural properties for optimal policies for the case of arbitrary distribution of off-times.Technological restrictions often permit a limited set of policies to be implemented. Motivated by this, we investigate classes of policies with specific constraints. What is the optimal policy within each class and what are the optimal parameters for it? To answer these questions, we adopt the parametric optimization approach which entails cost minimization for a given parameterized policy and selection of the best policy among a class. We provide the optimal solution for each class which can be used in closed form or evaluated numerically depending on the case. Our framework allows us to compare the performance of obtained optimal policies, proposed suboptimal policies as well as that of standard policies like IEEE 802.16e.

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Section: Policysupporting

confidence: 59%

Section: A Related Workmentioning

confidence: 99%

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Optimal Control of Sleep Periods for Wireless Terminals

Azad

Alouf²,

Altman³

et al. 2011

IEEE J. Select. Areas Commun.

View full text Add to dashboard Cite

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“…A semi-Markov chain analysis leads to expressions for the mean packet delay and the mean energy consumption by the MS. The analysis in [8] is based on an M/G/1/K queueing model with multiple vacations and exhaustive service, where the vacations represent the sleep intervals. Similar work can also be found in [9], where the length of a vacation is assumed to depend on the previous vacation length.…”

Section: Introductionmentioning

confidence: 99%

“…The system can thus be modeled as a queueing system with multiple vacations and exceptional first vacation. The loss probability in both [8] and [10] is obtained as well. A simulation study of CDPD sleep-mode performance is found in [11].…”

Section: Introductionmentioning

confidence: 99%

Performance of the Sleep-Mode Mechanism of the New IEEE 802.16m Proposal for Correlated Downlink Traffic

Turck

Vuyst

Fiems

et al. 2009

Lecture Notes in Computer Science

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Abstract. There is a considerable interest nowadays in making wireless telecommunication more energy-efficient. The sleep-mode mechanism in WiMAX (IEEE 802.16e) is one of such energy saving measures. Recently, Samsung proposed some modifications on the sleep-mode mechanism, scheduled to appear in the forthcoming IEEE 802.16m standard, aimed at minimizing the signaling overhead. In this work, we present a performance analysis of this proposal and clarify the differences with the standard mechanism included in IEEE 802.16e. We also propose some special algorithms aimed at reducing the computational complexity of the analysis.

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IEEE 802.16e/m energy‐efficient sleep‐mode operation with delay limitation in multibroadcast services

Cheng

Yang

et al. 2012

Int J Communication

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Mobile Worldwide Interoperability for Microwave Access networks usually provide flexible sleep-mode operations that allow mobile stations to conserve energy during sleep or active mode. For example, the IEEE 802.16e/m standard presents three power-saving classes that can be associated with different types of network connections to decrease the power consumption of mobile stations. However, previous studies failed to fully use the sleep-mode features to save energy of a mobile station while simultaneously maintaining unicast and multicast/broadcast connections. This study proposes an energy-efficient packet scheduling algorithm for both multicast and broadcast services that does not violate the QoS requirements of real-time connections. The proposed activity aggregation selection mechanism approach can minimize total power consumption of mobile stations in one cell and simultaneously satisfy the QoS of real-time connections. This method improves energy efficiency for IEEE 802.16e/m and the activity aggregation selection mechanism approach can optimize sleeping mode features to save the energy of mobile stations with overlapping connection packets The simulations in this study verified the proposed approach.(1) Default listening window: length of the default listening window.(2) Initial sleep cycle: length of the initial sleep cycle.

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Performance Modelling and Analysis of the Sleep-Mode in IEEE802.16e WMAN

Cited by 28 publications

References 9 publications

Optimal Control of Sleep Periods for Wireless Terminals

Optimal Control of Sleep Periods for Wireless Terminals

Performance of the Sleep-Mode Mechanism of the New IEEE 802.16m Proposal for Correlated Downlink Traffic

IEEE 802.16e/m energy‐efficient sleep‐mode operation with delay limitation in multibroadcast services

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