Estimation of a 10 Gb/s 5G Receiver's Performance and Power Evolution Towards 2030

Lauridsen, Mads; Mogensen, Preben; Sørensen, Troels B.

doi:10.1109/vtcfall.2015.7390933

Cited by 9 publications

(14 citation statements)

References 21 publications

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“…In addition, new IoT/MTC use cases expect sensor battery life approaching 10 years. However, as discussed in [33] and section VI, 5G will also pose new challenges to the user equipment in terms of processing and implementation complexity, physical area, and power consumption. The reason is that the UE has to support up to 10 Gb/s, several hundred MHz of bandwidth, at least 4x4 MIMO, and extensive use of carrier aggregation.…”

Section: H User Equipment Energy Efficiencymentioning

confidence: 99%

“…The density of transistors on these processors increase at a rate that reaches the predictions of Moore's Law [101]. However, the estimates presented in [33] show that the baseband processing complexity may be so high that the power consumption will exceed 3 W in 2020. The reason is the turbo decoding complexity and the use of wide bandwidths, resulting in complex FFT, channel estimation, and equalization.…”

Section: A Digital Signal Processingmentioning

confidence: 99%

“…The reason is the turbo decoding complexity and the use of wide bandwidths, resulting in complex FFT, channel estimation, and equalization. However, due to the slow CMOS technology node evolution the mobile terminal power consumption is first expected to be similar to todays LTE devices in 2027 [33].…”

Section: A Digital Signal Processingmentioning

confidence: 99%

“…The ADC challenge was also examined in [33] where the ADC evolution was evaluated based on literature studies covering more than 20 years. The average annual improvement was noted to be about 34% which results in a 100 MHz ADC with 12 effective bits consuming less than 10 mW in 2020.…”

Section: B Transceiver Designmentioning

confidence: 99%

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5G – Wireless Communications for 2020

Barreto

Faria²,

Almeida³

et al. 2016

JCIS

Self Cite

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Abstract-Existing cellular technologies are rapidly coming to their performance limits. This is due not only to the growth in data traffic and in the number of connected terminals, but also because we are on the verge of new era, where everyone and everything will be connected, with more demanding and varied requirements that cannot be satisfied by current networks. On account of this, efforts are being made all over the world to design new wireless technologies that will support the expected demands for the next decade. These technologies, embraced under the commercial name of 5 th generation, are currently being studied, and in this tutorial paper we will give an overview of the main trends that are likely to make their way in the next-generation standards.

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Section: H User Equipment Energy Efficiencymentioning

confidence: 99%

Section: A Digital Signal Processingmentioning

confidence: 99%

Section: A Digital Signal Processingmentioning

confidence: 99%

Section: B Transceiver Designmentioning

confidence: 99%

See 2 more Smart Citations

5G – Wireless Communications for 2020

Barreto

Faria²,

Almeida³

et al. 2016

JCIS

Self Cite

View full text Add to dashboard Cite

show abstract

“…In general, the cellular modem is one of the primary energy-consuming elements of mobile devices, while the other units only contribute when they are used intensively [5], [6]. Furthermore, in current and future traffic trends, the data traffic of mobile users is mainly downlinkdominated [7].…”

Section: Introductionmentioning

confidence: 99%

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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Evolution of Power Saving Technologies for 5G New Radio

Kim

Lin

et al. 2020

IEEE Access

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Battery life of mobile terminals has been a key performance indicator (KPI) for user experience since the early days of wireless communications. This KPI has become even more important for fifth generation (5G) cellular systems due to higher requirements such as the support of carrier frequency up to 100 GHz, carrier bandwidth up to 400 MHz, peak data rate up to 20 Gbps, latency as small as 1 ms, and enhanced receiver performance. In response, various power saving techniques have been studied and implemented so that devices can be used over a longer period without noticeable decrease in performance. In this article, we provide a comprehensive overview of the latest terminal power saving techniques which were specified in 5G New Radio (NR) over the last couple of years. The key feature and benefit of each power saving technique is analyzed with simulation results under various traffic scenarios. In addition, some of the candidate techniques for the next phase of NR on terminal power saving enhancement are proposed targeting not only conventional data services but also various vertical services.

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Estimation of a 10 Gb/s 5G Receiver's Performance and Power Evolution Towards 2030

Cited by 9 publications

References 21 publications

5G – Wireless Communications for 2020

5G – Wireless Communications for 2020

Wake-Up Scheduling for Energy-Efficient Mobile Devices

Evolution of Power Saving Technologies for 5G New Radio

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