Corpus ID: 235422240

How Crucial is it for 6G Networks to be Autonomous?

@article{Adem2021HowCI,
  title={How Crucial is it for 6G Networks to be Autonomous?},
  author={N. Adem and Ahmed Benfaid and Ramy Harib and Anas Alarabi},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.06949}
}
The sixth generation (6G), unlike any previous generations, is envisioned by 2030 to connect everything. Moreover, in addition to the new use cases 6G is expected to support, it will need to provide a superior performance over 5G. The global connectivity, large-network dimensions, users heterogeneity, extremely-low power consumption, high-throughput, ultrareliability, efficient-network operation and maintenance, and lowlatency requirements to be met by future networks inevitably necessitate the… Expand

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References

SHOWING 1-10 OF 68 REFERENCES
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
TLDR
This article identifies the primary drivers of 6G systems, in terms of applications and accompanying technological trends, and identifies the enabling technologies for the introduced 6G services and outlines a comprehensive research agenda that leverages those technologies. Expand
6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies
TLDR
This article presents a large-dimensional and autonomous network architecture that integrates space, air, ground, and underwater networks to provide ubiquitous and unlimited wireless connectivity and identifies several promising technologies for the 6G ecosystem. Expand
Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future
TLDR
A novel QC-assisted and QML-based framework for 6G communication networks is proposed while articulating its challenges and potential enabling technologies at the network infrastructure, network edge, air interface, and user end. Expand
Future Networks 2030: Architecture & Requirements
TLDR
The architecture of the future networks must consider all the gaps of already existing networks in order to ensure the highest robustness, extremely low latency, Ubiquitous coverage as new applications and services require. Expand
UAV Communications for 5G and Beyond: Recent Advances and Future Trends
TLDR
A comprehensive survey on UAV communication toward 5G/B5G wireless networks is presented and an exhaustive review of various 5G techniques based on Uav platforms is provided, which are categorize by different domains, including physical layer, network layer, and joint communication, computing, and caching. Expand
Machine Learning Paradigms for Next-Generation Wireless Networks
TLDR
The goal is to assist the readers in refining the motivation, problem formulation, and methodology of powerful machine learning algorithms in the context of future networks in order to tap into hitherto unexplored applications and services. Expand
6G Wireless Communications: Vision and Potential Techniques
TLDR
A number of key technical challenges as well as the potential solutions associated with 6G, including physical-layer transmission techniques, network designs, security approaches, and testbed developments are outlined. Expand
6G Vision and Requirements: Is There Any Need for Beyond 5G?
TLDR
This article starts by discussing earlier mobile communication systems, beginning with the first analog wireless cellular standards, then moving on to second generation (2G) [or Global System for Mobile Communications (GSM], passing third generation (3G) and fourth generation (4G), and proceeding to fifth generation (5G). Expand
A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends
TLDR
An overview of the latest NOMA research and innovations as well as their applications is provided and the papers published in this special issue are put into the context of the existing literature. Expand
Deep Learning in Mobile and Wireless Networking: A Survey
TLDR
This paper bridges the gap between deep learning and mobile and wireless networking research, by presenting a comprehensive survey of the crossovers between the two areas, and provides an encyclopedic review of mobile and Wireless networking research based on deep learning, which is categorize by different domains. Expand
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