2015
DOI: 10.1186/s13638-015-0435-x
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Adaptive load-based and channel-aware power saving for non-real-time traffic in LTE

Abstract: 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-… Show more

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Cited by 6 publications
(9 citation statements)
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References 30 publications
(33 reference statements)
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“…16 in our previous work [3]. The idea of LBPS was also extended to support sleep scheduling in LTE [4,5]. In this paper, we are focusing on a more general and complicated network environment in which there are a number of RNs under the same base station of DeNB in the mode of TDD.…”
Section: Methodsmentioning
confidence: 99%
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“…16 in our previous work [3]. The idea of LBPS was also extended to support sleep scheduling in LTE [4,5]. In this paper, we are focusing on a more general and complicated network environment in which there are a number of RNs under the same base station of DeNB in the mode of TDD.…”
Section: Methodsmentioning
confidence: 99%
“…In order to maintain a balance between power-saving efficiency and delay performance, the value of Data_TH is suggested to be the amount of data that can be transmitted in an LTE subframe. Moreover, Channel Quality Indicator (CQI) was used for estimating the capacity of a subframe [4,5]. Three LBPS schemes, that is, LBPS-Aggr, LBPS-Split, and LBPS-Merge, were designed to multiplex multiple UEs in sleep scheduling.…”
Section: Previous Work Of Lbpsmentioning
confidence: 99%
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“…The cycle length for each group in LBPS‐Merge is converted the closest and smaller power of 2 to efficiently find a feasible sleep schedule for all groups. Please refer to the authors' previous work for more details of the LBPS schemes.…”
Section: Related Workmentioning
confidence: 99%
“…Please refer to the authors' previous work for the calculation of function LengthAwkSlpCyl . Note that the threshold of data accumulation Data_TH is set as a percentage (α) of the capacity to reduce the probability that the amount of data exceeding the capacity (α = 0.8 in the simulation).…”
Section: Lbps Integrating Rt and Nrt In Tddmentioning
confidence: 99%