Challenges and Technologies for 6G

Wikström, Gustav; Peisa, Janne; Rugeland, Patrik; Johansson, Nils; Parkvall, Stefan; Girnyk, Maksym A.; Mildh, Gunnar; Silva, Icaro Leonardo Da

doi:10.1109/6gsummit49458.2020.9083880

Cited by 78 publications

(47 citation statements)

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“…M 1 is B 1 /2δ f 1 , and M 2 is B 2 /2δ f 2 . Accordingly, the received optical signal, E r (t) in the receiver (Rx) can be described as Equation (4). protocols.…”

Section: Interference and Shot Noise Model Of Fluorescent Lamp And DImentioning

confidence: 99%

“…The multimedia services of the 5G network have begun since 2019, and a 6G network, which is expected to increase 100 times more than the transmission rate of the 5G network, will be implemented soon [ 1 , 2 , 3 ]. It is easy to predict that the transmission capacity of the wired network will increase in line with the establishment of the 6G wireless network [ 4 , 5 , 6 ]. In such a wired/wireless network environment, a massive Internet of things (IoT) service in which a large number of mobile devices and smart sensors are connected is being partially operated and is evolving further [ 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

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Ambient LED Light Noise Reduction Using Adaptive Differential Equalization in Li-Fi Wireless Link

Won

Yoon

Seo

2021

Sensors

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For Li-Fi wireless links based on a white light emitting diode, an adaptive differential equalization (ADE) technique that reduces various noises such as interference noise and shot one generated from ambient light sources is pro-posed. The ADE technique reduces noise by taking advantage of the fact that the derivative between adjacent sampling points of signal with digital waveform is very different from that of noise with the random analog waveform. Furthermore, a weighting function that reflects the Poisson characteristics of shot noise is applied to the ADE technique in order to maximize the reduction efficiency of ambient noise. The signal-to-noise ratio of input non-return-to-zero-on–off keying (NRZ-OOK) signal is improved by 7.5 dB at the first-generation forward error correction (FEC) threshold (the bit error rate (BER) of 8 × 10−5) using the optical wireless experimental link. In addition, it is confirmed that it is possible to maintain the transmission performance corresponding to the BER of 1 × 10−5 by using the proposed ADE technique, even when the intensity of the ambient light source increases by 6 dB.

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“…M 1 is B 1 /2δ f 1 , and M 2 is B 2 /2δ f 2 . Accordingly, the received optical signal, E r (t) in the receiver (Rx) can be described as Equation (4). protocols.…”

Section: Interference and Shot Noise Model Of Fluorescent Lamp And DImentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ambient LED Light Noise Reduction Using Adaptive Differential Equalization in Li-Fi Wireless Link

Won

Yoon

Seo

2021

Sensors

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“…Current long-term research topics aim at anticipating the complex requirements emerging in in beyond 5G V2X scenarios. The state of the art indicates that new technologies will be improved and perfected in future Sixth Generation (6G) network standards [55]- [58], and likely applied to ITS. Such technologies are related to intelligent systems based on Deep Learning (DL), Machine Learning (ML) and Artificial Intelligence (AI), for example extreme URLLC enabled by ML/AI.…”

Section: B Beyond 5g V2xmentioning

confidence: 99%

V2X Support in 3GPP Specifications: From 4G to 5G and Beyond

et al. 2020

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The connected car concept is gaining momentum from the point of view, not only of research, but also of standardization and industrial development. Today there are many options for connecting a vehicle, in terms of to whom and how. In addition to making use of any conventional cellular technology, and connecting the vehicle to a base station or infrastructure element, vehicles can connect wirelessly and directly to each other using different technologies, both from the Institute of Electrical and Electronics Engineers (IEEE) and from the 3rd Generation Partnership Project (3GPP). This article offers a rigorous and detailed review of the system architecture aspects involved in the support of vehicular communications by the 3GPP fifth-generation (5G) standard, with special emphasis on its most recent iteration: Release 16.

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“…This trend is also visible in the road map of 6G, which also aims for zero-energy devices, e.g. for environmental monitoring, structural integrity monitoring, or pervasive industrial process monitoring [24]. Such batteryless devices also have the potential to save costs due to the lack of removable parts, which also enables smaller form factors and integration into non-accessible areas.…”

Section: Introductionmentioning

confidence: 98%

Microwatt power management: challenges of on-chip energy harvesting

Schmickl

Faseth

Pretl

2020

Elektrotech. Inftech.

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IoT devices become more and more popular which implies a growing interest in easily maintainable and battery-independent power sources, as wires and batteries are unpractical in application scenarios where billions of devices get deployed. To keep the costs low and to achieve the smallest possible form factor, SoC implementations with integrated energy harvesting and power management units are a welcome innovation.On-chip energy harvesting solutions are typically only capable of supplying power in the order of microwatts. A significant design challenge exists for the functional blocks of the IoT-SoC as well as for the power management unit itself as the harvested voltage has to be converted to a higher and more usable voltage. Simultaneously, the power management blocks have to be as efficient as possible with the lowest possible quiescent currents.In this paper, we provide a look at on-chip microwatt power management. Starting with the energy-harvesting from RF power or light, we then show state-of-the-art implementations of ultra-low power voltage references and ultra-low power low-dropout regulator (LDO) designs.

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Challenges and Technologies for 6G

Cited by 78 publications

References 1 publication

Ambient LED Light Noise Reduction Using Adaptive Differential Equalization in Li-Fi Wireless Link

Ambient LED Light Noise Reduction Using Adaptive Differential Equalization in Li-Fi Wireless Link

V2X Support in 3GPP Specifications: From 4G to 5G and Beyond

Microwatt power management: challenges of on-chip energy harvesting

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