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Hydra-RAN Perceptual Networks Architecture: Dual-Functional Communications and Sensing Networks for 6G and Beyond | IEEE Journals & Magazine | IEEE Xplore

Hydra-RAN Perceptual Networks Architecture: Dual-Functional Communications and Sensing Networks for 6G and Beyond


The disaggregated architecture of H-RAN perceptual networks distributes the deployment of functional units on cloud platforms in a virtualized network spanning from the e...

Abstract:

After researchers devoted considerable efforts to developing 5G standards, their passion began to focus on establishing the basics for the standardization of 6G and beyon...Show More

Abstract:

After researchers devoted considerable efforts to developing 5G standards, their passion began to focus on establishing the basics for the standardization of 6G and beyond. The utilization of millimeter wave (MMW) and terahertz (THz) frequency bands, combined with sensors and artificial intelligence (AI), has gained significant attention in the research community for the development of the next generation of sensory and radio access networks (NG-SRANs). Leveraging the advantages of communication and sensor systems’ common characteristics will open horizons for merging the two networks, thereby creating a unified perceptive and intelligence network. Overall, while using MMW and THz frequencies is certainly valuable, the ability to gather and transmit data in real-time makes sensors extremely effective in communication networks. In contrast, AI, machine learning (ML), and deep learning (DL) have become predominant methods for solving data analysis problems across a wide range of domains, such as analyzing large amounts of different sensor data, decision-making, channel estimation, self-organization, and self-healing. This paper proposes a novel design for a potential 6G network and beyond called the Hydra radio access network (H-RAN) perceptual networks architecture, which is designed based on NG-SRAN. From a design perspective, H-RAN aims to merge communication and sensing networks into a single network in which two functionalities are attempted to mutually complement each other, namely communication-aided sensing and sensing-aided communications networks. However, such a network provides an adequate platform for a wide range of AL/ML algorithms, such as real-time decision-making, self-organization, and self-healing. As a result, H-RAN perceptual networks architecture is expected to be more efficient, reliable, and secure than existing conventional networks, and is likely to play a critical role in a wide range of applications, including but not limited to mobile bro...
The disaggregated architecture of H-RAN perceptual networks distributes the deployment of functional units on cloud platforms in a virtualized network spanning from the e...
Published in: IEEE Access ( Volume: 12)
Page(s): 2162 - 2185
Date of Publication: 12 December 2023
Electronic ISSN: 2169-3536

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