Study on power saving based on radio frame in LTE wireless communication system using DRX

Fowler, Scott

doi:10.1109/glocomw.2011.6162340

Cited by 31 publications

(13 citation statements)

References 13 publications

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“…The influence of Transmission Time Interval (TTI) sizes, including the the effects of LTE DRX Light and Deep Sleep mode on power consumption are evaluated in [15] for Voice and Web traffic. This study work does not consider the impact of these parameters on QoS.…”

Section: B Drx Power Saving Methodsmentioning

confidence: 99%

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QoE Power-Efficient Multimedia Delivery Method for LTE-A

Mellouk

Augustin

Fowler

2016

IEEE Systems Journal

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Abstract-The fastest growing of multimedia services over future wireless communication system demand more network resources, efficient delivery of multimedia service with high users satisfaction, and power optimization of User Equipments (UEs). The resources and power optimization are significant in future mobile computing systems, because emerging multimedia services consume more resources and power. The 4G standard of LTE-A wireless system has adopted the Discontinuous Reception (DRX) method to extend and optimize the UE battery life, while there is no standard scheduling method to distribute the radio resources among the UE. This paper presents a downlink scheduler, i.e. Quality of Experience (QoE) Power Efficient Method (QEPEM) for LTE-A, which efficiently allocates the radio resources and optimizes the use of UE power using the DRX mechanism. We investigates how the different duration of DRX Light and Deep Sleep cycle influences the QoS and QoE of end users, using VoIP over the LTE-A. The QEPEM is evaluated with the traditional methods, in terms of System Throughput, Fairness Index, Packet Loss Rate, and Packet Delay. The QEPEM measures the user's QoE, and feedback to eNodeB for scheduling decisions along with other important parameters. Our proposed method reduces the packet delay, packet loss, and increases the fairness and UE's power saving with high users satisfaction.

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Section: B Drx Power Saving Methodsmentioning

confidence: 99%

“…We can use a semi-Markovian model to determine the numerical values of power saved in DRX mechanism. In [6], a semi-Markovian model is presented to save UE power for LTE networks as shown in Figure 2, which is used by [36] and [15]. This model shows that when the UE in the active state downloading the data, it consumes 0.5 Watt/TTI.…”

Section: Drx Mechanismmentioning

confidence: 99%

QoE Power-Efficient Multimedia Delivery Method for LTE-A

Mellouk

Augustin

Fowler

2016

IEEE Systems Journal

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“…In [31], the effects of Short DRX Cycle and Long DRX Cycle on power consumption for Voice and Web traffic were investigated, and the influences of the length of TTI (time transmission interval) on power saving efficiency and access delay were evaluated. An analysis of processing in LTE L2 and L3 protocols for frequent signaling procedure was presented in [32], in which four signaling procedures, namely Attach, Idle-Connected, Handover, and Tracking Area Update, were analyzed.…”

Section: Related Researchmentioning

confidence: 99%

Adaptive load-based and channel-aware power saving for non-real-time traffic in LTE

Yang

Chen

Mai

et al. 2015

J Wireless Com Network

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The popularity of handheld devices, which are usually powered by batteries, has made power saving an important and practical issue in recent years. Techniques of power saving for user devices using mobile communication systems such as WiMAX and LTE (Long-Term Evolution) are parts of the major focuses in the literature. In this paper, two revised schemes of the authors' previously proposed power saving schemes for IEEE 802.16 are proposed to be applied in LTE. The proposed schemes, namely LTE-LBPS-Aggr and LTE-LBPS-Merge, estimate the input load by traffic measurement and the channel capacity by channel quality indicator (CQI) reports, calculate the length of the sleep cycle, and notify related user equipments (UEs) of the next radio-on time for receiving data. The difference between LTE-LBPS-Aggr and LTE-LBPS-Merge lies in the grouping of UEs for sleep scheduling. LTE-LBPS-Aggr treats all UEs in a group, while LTE-LBPS-Merge allows multiple groups of UEs in sleep scheduling. The simulation study shows that in comparison with standard-based mechanisms, the proposed schemes can achieve better power saving efficiency at the cost of moderate increase on delays and the signaling overhead.

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“…Different studies [6], [7] have been conducted to analyze the performance of the DRX mechanism in LTE. However, only few works in literature are related to adaptive DRX mechanism.…”

Section: Related Workmentioning

confidence: 99%

Energy-efficient and QoE-driven adaptive HTTP streaming over LTE

Khan

Schroeder

Essaili

et al. 2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

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Abstract-LTE networks offer broadband wireless access to mobile users who can benefit from high data rate applications such as video streaming. In order to improve the user satisfaction, Quality-of-Experience (QoE) based resource allocation for multiple streaming users in an LTE cell has been studied. However, the high energy consumption of these applications has not been considered. In this paper, we propose adaptive Discontinuous Reception (DRX) parameters for LTE that reduce the energy consumption of mobile devices without degrading the video quality of adaptive HTTP streaming users. Furthermore, we extend the QoE-optimized resource allocation by additionally considering the power consumption of the mobile devices. Simulation results show the benefits of using the proposed adaptive DRX parameters and that further energy saving gains can be achieved by including the power consumption in the optimization problem.

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Study on power saving based on radio frame in LTE wireless communication system using DRX

Cited by 31 publications

References 13 publications

QoE Power-Efficient Multimedia Delivery Method for LTE-A

QoE Power-Efficient Multimedia Delivery Method for LTE-A

Adaptive load-based and channel-aware power saving for non-real-time traffic in LTE

Energy-efficient and QoE-driven adaptive HTTP streaming over LTE

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