Trade-off guidelines for power management mechanism in the IEEE 802.16e MAC

Kim, Min-Gon; Choi, JungYul; Kang, Minho

doi:10.1016/j.comcom.2008.01.028

Cited by 12 publications

(11 citation statements)

References 8 publications

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“…The sleep-mode operation is manipulated by adjusting operating parameters such as the minimum sleep window (T min ), and the maximum sleep window (T max ). Interestingly, energy consumption and the response delay of requests for services are reciprocally affected by relative sizes of these two parameters compared to the sleep duration (from the beginning of sleep-mode to that of wake-mode) (Kim et al, 2008a). The response delay implies the time from the MS receive a service request from a BS to wake up to operate.…”

Section: Advanced Sleep-mode Operation For Performance Enhancementmentioning

confidence: 99%

Power-saving mechanisms for energy efficient IEEE 802.16e/m

Choi

Kim²,

Jeong

et al. 2012

Journal of Network and Computer Applications

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Section: Advanced Sleep-mode Operation For Performance Enhancementmentioning

confidence: 99%

Power-saving mechanisms for energy efficient IEEE 802.16e/m

Choi

Kim²,

Jeong

et al. 2012

Journal of Network and Computer Applications

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“…Xiao [22,23] proposed an analytical model of the PSC I and investigated the power consumption of IEEE 802.16e for both uplink and downlink traffic. Zhang et al [25] and Kim et al [7,8] analyzed the power consumption and mean delay for uplink and downlink traffic by focusing on a sleep mode duration in the IEEE 802.16e. In [7,8,22,23,25], traffic pattern in their models is a Poisson process, whereas for non-Poisson traffic pattern models, we refer to [15] for Erlang distributed inter-arrival time, [26] for hyper-Erlang distributed inter-arrival time, and [20] for a discrete batch Markov arrival process.…”

Section: Introductionmentioning

confidence: 99%

“…Zhang et al [25] and Kim et al [7,8] analyzed the power consumption and mean delay for uplink and downlink traffic by focusing on a sleep mode duration in the IEEE 802.16e. In [7,8,22,23,25], traffic pattern in their models is a Poisson process, whereas for non-Poisson traffic pattern models, we refer to [15] for Erlang distributed inter-arrival time, [26] for hyper-Erlang distributed inter-arrival time, and [20] for a discrete batch Markov arrival process. Also, see [16,27] for theoretical (phasetype) Markov chain models of PSC I, and see [2,10,11] for comparison and optimal selection of PSC I and PSC II in IEEE 802.16e.…”

Section: Introductionmentioning

confidence: 99%

The power saving mechanism with binary exponential traffic indications in the IEEE 802.16e/m

et al. 2009

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In IEEE 802.16e (air interface standard for MWiMAX) and IEEE 802.16m (evolution of MWiMAX for IMT-Advanced), power saving is one of the important issues for the battery-powered mobile stations (MSs). According to IEEE 802.16e standard, when an MS switches from awake mode to sleep mode, the MS is required to send a sleep request (MOB-SLP-REQ) message and to receive a sleep response (MOB-SLP-RSP) message. In this paper we propose a new sleep mode scheme, called the power saving mechanism with binary exponential traffic indications. This sleep mode scheme omits MOB-SLP-REQ/RSP messages and has a traffic indication (TRF-IND) interval as a main system parameter, applying the truncated binary exponential increasing method for its length. The proposed scheme in this paper is quite well aligned with the design policy of sleep mode in discussion at IEEE 802.16m in the sense that it tries to minimize the overhead for the state transition between awake mode and sleep mode, and hence it can reduce the delay due to the state transition and enhance the power saving efficiency. We present a mathematical analysis for the proposed scheme and investigate its performance. As performance measures, we provide the sleep interval ratio, the average power consumption, and the mean delay. Using the analytical results, the system parameters such as the initial TRF-IND 198 Queueing Syst (2009) 62: 197-227 interval and the maximum binary exponent for TRF-IND intervals can be optimized while satisfying the QoS constraint on the mean delay. The numerical results show that the proposed scheme consumes less energy than the power saving class of type I in the IEEE 802.16e standard.Keywords IEEE 802.16e/m · Power saving scheme · Performance analysis · M/G/1 queueing model Mathematics Subject Classification (2000) Primary 60K25 · 68M20 · Secondary 68M10 · 90B18

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“…Kim et al [20] and Vuyst et al [21] explored the trade-offs between delay and power consumption for sleep-mode operation in mobile WiMAX. In [22,23] the possibility for tradeoff between video quality and power saving in the receiver was demonstrated.…”

Section: Power Consumption In Wireless Networkmentioning

confidence: 99%

Power consumption analysis of constant bit rate video transmission over 3G networks

Ukhanova¹,

Belyaev²,

Wang³

et al. 2012

Computer Communications

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a b s t r a c tThis paper presents an analysis of the power consumption of video data transmission with constant bit rate over 3G mobile wireless networks. The work includes the description of the radio resource control transition state machine in 3G networks, followed by a detailed power consumption analysis and measurements of the radio link power consumption. Based on this description and analysis, we propose our power consumption model. The power model was evaluated on a smartphone Nokia N900, which follows 3GPP Release 5 and 6 supporting HSDPA/HSUPA data bearers. We also propose a method for parameter selection for the 3GPP transition state machine that allows to decrease power consumption on a mobile device taking signaling traffic, buffer size and latency restrictions into account. Furthermore, we discuss the gain in power consumption vs. PSNR for transmitted video and show the possibility of performing power consumption management based on the requirements for the video quality.

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Trade-off guidelines for power management mechanism in the IEEE 802.16e MAC

Cited by 12 publications

References 8 publications

Power-saving mechanisms for energy efficient IEEE 802.16e/m

Power-saving mechanisms for energy efficient IEEE 802.16e/m

The power saving mechanism with binary exponential traffic indications in the IEEE 802.16e/m

Power consumption analysis of constant bit rate video transmission over 3G networks

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