Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks

She, Changyang; Dong, Rui; Gu, Zhouyou; Hou, Zhanwei; Li, Yonghui; Hardjawana, Wibowo; Yang, Chenyang; Song, Lingyang; Vucetic, Branka

doi:10.1109/mnet.011.1900630

Cited by 125 publications

(69 citation statements)

References 12 publications

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“…This challenge need to be addressed in physical and networking layers. Technology such as AI is also considered to reduce latency, for example, deep learning based transmission prediction [21]. It helps in predicting the user requests and change in channel state to reduce the transmission latency.…”

Section: End-to-end Delay and Reliabilitymentioning

confidence: 99%

6G Communication: Envisioning the Key Issues and Challenges

Nayak¹,

Patgiri²

2020

EAI Endorsed Trans IoT

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In 2030, we are going to evidence the 6G mobile communication technology, which will enable the Internet of Everything. Yet 5G has to be experienced by people worldwide and B5G has to be developed; the researchers have already started planning, visioning, and gathering requirements of the 6G. Moreover, many countries have already initiated the research on 6G. 6G promises connecting every smart device to the Internet. 6G will provide sophisticated and high QoS such as holographic communication, augmented reality/virtual reality and many more. It will also focus on Quality of Experience to provide rich experiences. Notably, it is very important to vision the issues and challenges of 6G technology, otherwise, promises may not be delivered on time. The requirements of 6G pose new challenges to the research community. To achieve desired parameters of 6G, researchers are exploring various alternatives. Hence, there are diverse research challenges to envision, from devices to softwarization. Therefore, in this article, we discuss the future issues and challenges to befaced by the 6G technology. We have discussed issues and challenges from every aspect from hardware to the enabling technologies which will be utilized by 6G.

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Section: End-to-end Delay and Reliabilitymentioning

confidence: 99%

6G Communication: Envisioning the Key Issues and Challenges

Nayak¹,

Patgiri²

2020

EAI Endorsed Trans IoT

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“…In a research study [82], Changyang She et.al proposed a reliable low latency communication and edge computing system. They have adopted deep transfer learning in the architecture to fine-tune the pre-trained networks in non-stationary networks.…”

Section: Review Of Related State-of-the-artmentioning

confidence: 99%

A Survey on Deep Transfer Learning and Edge Computing for Mitigating the COVID-19

Sufian¹,

Ghosh²,

Sadiq³

et al. 2020

Preprint

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“…URLLC brings new requirements, i.e., a hard delay constraint and a high reliability. Thus, URLLC has attracted increasing attention from both the academic and industrial communities [5,6].…”

Section: Introductionmentioning

confidence: 99%

Ultra-reliable and low-latency communications: applications, opportunities and challenges

Feng

Lai

Luo

et al. 2021

Sci. China Inf. Sci.

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In the upcoming 5G and beyond systems, ultra-reliable and low latency communication (URLLC) has been considered as the key enabler to support diverse mission-critical services, such as industrial automation, remote healthcare, and intelligent transportation. However, the two stringent requirements of URLLC: extremely low latency and ultra-strict reliability have posed great challenges in system designing. In this article, the basic concepts and the potential applications of URLLC are first introduced. Then, the state-ofthe-art research of URLLC in the physical layer, link layer and the network layer are overviewed. In addition, some potential research topics and challenges are also identified.

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Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks

Cited by 125 publications

References 12 publications

6G Communication: Envisioning the Key Issues and Challenges

6G Communication: Envisioning the Key Issues and Challenges

A Survey on Deep Transfer Learning and Edge Computing for Mitigating the COVID-19

Ultra-reliable and low-latency communications: applications, opportunities and challenges

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