Wake-Up Radio Based Access in 5G Under Delay Constraints: Modeling and Optimization

Rostami, Soheil; Lagén, Sandra; Costa, Mário; Valkama, Mikko; Dini, Paolo

doi:10.1109/tcomm.2019.2954389

Cited by 25 publications

(33 citation statements)

References 24 publications

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“…We also showed that the impact of such negligible errors is very low on power consumption and buffering delay. Furthermore, in our previous work [23], [24], we introduced an offline method to optimize the WuS configuration (i.e., the wake-up cycle period) based on a delay bound under the assumption of Poisson traffic. In cases where traffic dynamics vary over time, the WuS optimization method in [23], [24] requires reconfiguration of the WuS parameters, which need to be communicated to the mobile device, and thus increases the control signaling overhead as well as the associated energy consumption.…”

Section: A Wake-up Based Access and State-of-the-artmentioning

confidence: 99%

“…To the best of our knowledge, this is the first attempt to introduce online wake-up scheduling decisions with traffic prediction capabilities into the wake-up scheme. Unlike previous works [5], [23], [24], the WuSched-Online is not tied to any specific traffic models and operates dynamically. inter-arrival times of n th and n+1 th packets at gNB An packet arrival times of n th packets at gNB Dn n th packet's buffering delaȳ Dn estimated delays of n th packet (buffered or forecast) Wn time duration between decoding n th and n+1 th packets by UE Hn…”

Section: B Contributions and Noveltymentioning

confidence: 99%

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Wake-Up Scheduling for Energy-Efficient Mobile Devices

Rostami

Trinh

Lagén

et al. 2020

IEEE Trans. Wireless Commun.

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Recently, discontinuous reception mechanisms (DRX) and wake-up schemes (WuS) have been proposed to enhance the energy efficiency of 5G mobile devices and prolong the battery lifetime. The existing DRX and WuS use commonly pre-configured parameters that cannot be adjusted dynamically. In this paper, a novel wake-up scheduling (WuSched) concept is introduced to further improve the energy efficiency of WuS-enabled mobile devices while controlling the buffering delay in a dynamic manner. The main idea of WuSched is to use a fixed configuration of the wake-up scheme and adjust the scheduling of the wake-up signals dynamically based on actual traffic arrivals. For this purpose, two different optimization approaches of the wake-up scheduling concept are proposed, analyzed, and compared, namely offline and online wake-up schedulers (WuSched-Offline and WuSched-Online). First, the WuSched-Offline is analyzed analytically for Poisson traffic arrivals and optimized (offline) to balance the average delay and power consumption. Second, the WuSched-Online is proposed to take online decisions based on traffic prediction, which is able to deal with general and more complex traffic models. Towards this end, we develop a framework for the prediction of packet arrivals based on recurrent neural networks. Numerical results show that both wake-up schedulers outperform the ordinary WuS-based system where wake-up scheduler is not deployed. In particular, for predefined delay requirements of video streaming, audio streaming, and mixed traffic flow, the WuSched-Online reduces the power consumption of the baseline WuS by up to 36%, 28% and 9%, respectively. Results also show that the WuSched-Offline has slightly better energy efficiency than the WuSched-Online in the case of Poisson packet arrivals, as it is optimized for that, while its power consumption is slightly higher than that of the WuSched-Online scheduler for realistic traffic scenarios.

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Section: A Wake-up Based Access and State-of-the-artmentioning

confidence: 99%

Section: B Contributions and Noveltymentioning

confidence: 99%

Wake-Up Scheduling for Energy-Efficient Mobile Devices

Rostami

Trinh

Lagén

et al. 2020

IEEE Trans. Wireless Commun.

Self Cite

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show abstract

“…1). However, if the WuS configuration (namely, t w and t i ) is not properly optimized for the upcoming traffic, the immediate waking up of the UE can either adversely increase its energy consumption and eventually decrease the benefits of using WuS (meaning that the UE can tolerate longer w-cycles) or even create a worst case scenario, in which the UE may not even satisfy its delay requirements (implying the need for shorter w-cycles) [8].…”

Section: A Review Of Wake-up Schemementioning

confidence: 99%

“…As soon as a packet arrive at the transmission buffer of the base station, the wake-up indicator is assumed to be sent at the next upcoming wake-up instant. In our previous work [7], [8], we introduced an off-line method to optimize the WuS configuration (i.e., the wake-up cycle period) based on a delay bound under the assumption of Poisson traffic.…”

Section: Introductionmentioning

confidence: 99%

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Proactive Wake-up Scheduler based on Recurrent Neural Networks

Rostami¹,

Trinh

Lagén

et al. 2020

ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

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Recently, wake-up scheme has been proposed to enhance the energy-efficiency of 5G mobile devices and prolong its battery lifetime while reducing the buffering delay. The existing wake-up optimization mechanisms use off-line methods and are tied to specific traffic models. In this paper, a novel concept of wake-up scheduling is introduced to further improve the energy-efficiency of mobile devices and to deal with realistic traffic. The main idea is to use a fixed configuration of the wakeup scheme and adjust the scheduling of the wake-up signals dynamically. For this, a proactive wake-up scheduler is proposed to take online decisions based on traffic prediction. Towards this end, a framework to predict packet arrivals based on recurrent neural networks is developed. Numerical results show that for given delay requirements of video, audio streaming, and mixed traffic flow, the proactive wake-up scheduler reduces the power consumption of the baseline wake-up scheme without scheduler by up to 36%, 28% and 9%, respectively.

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Stochastic modeling for bandwidth part switching based DRX mechanism in 5G NR networks

2023

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The intensification of mobile broadband services and user experience is explicitly dependent on increased battery life of user equipment (UE) and minimized delay in service. In 5G New Radio (NR), in addition to Discontinuous Reception (DRX) scheme, Bandwidth Part (BWP) switching plays a significant role in reducing UE power consumption. The dynamic bandwidth operation in BWP switching is power efficient as UE can adapt its operating bandwidth based on the traffic arrival. In this work, BWP switching based DRX mechanism is modeled as an M X /G/1 queue to trade-off between quality of service (QoS) and power saving in UE in 5G NR. Analytical and numerical results on the proposed model show it to be promising in minimizing power consumption and reducing delay in service of UE.

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Wake-Up Radio Based Access in 5G Under Delay Constraints: Modeling and Optimization

Cited by 25 publications

References 24 publications

Wake-Up Scheduling for Energy-Efficient Mobile Devices

Wake-Up Scheduling for Energy-Efficient Mobile Devices

Proactive Wake-up Scheduler based on Recurrent Neural Networks

Stochastic modeling for bandwidth part switching based DRX mechanism in 5G NR networks

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