Computer Science > Distributed, Parallel, and Cluster Computing
arXiv:2402.00398 (cs)
[Submitted on 1 Feb 2024]
Title:Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks
Authors:Bo Yang,Xueyao Zhang,Zhiwen Yu,Xuelin Cao,Chongwen Huang,George C. Alexandropoulos,Yan Zhang,Merouane Debbah,Chau Yuen
View a PDF of the paper titled Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks, by Bo Yang and 8 other authors
View PDFAbstract:In this paper, we focus on improving autonomous driving safety via task offloading from cellular vehicles (CVs), using vehicle-to-infrastructure (V2I) links, to an multi-access edge computing (MEC) server. Considering that the frequencies used for V2I links can be reused for vehicle-to-vehicle (V2V) communications to improve spectrum utilization, the receiver of each V2I link may suffer from severe interference, causing outages in the task offloading process. To tackle this issue, we propose the deployment of a reconfigurable intelligent computational surface (RICS) to enable, not only V2I reflective links, but also interference cancellation at the V2V links exploiting the computational capability of its metamaterials. We devise a joint optimization formulation for the task offloading ratio between the CVs and the MEC server, the spectrum sharing strategy between V2V and V2I communications, as well as the RICS reflection and refraction matrices, with the objective to maximize a safety-based autonomous driving task. Due to the non-convexity of the problem and the coupling among its free variables, we transform it into a more tractable equivalent form, which is then decomposed into three sub-problems and solved via an alternate approximation method. Our simulation results demonstrate the effectiveness of the proposed RICS optimization in improving the safety in autonomous driving networks.
| Subjects: | Distributed, Parallel, and Cluster Computing (cs.DC); Signal Processing (eess.SP) |
| Cite as: | arXiv:2402.00398 [cs.DC] |
| (orarXiv:2402.00398v1 [cs.DC] for this version) | |
| https://doi.org/10.48550/arXiv.2402.00398 arXiv-issued DOI via DataCite |
Full-text links:
Access Paper:
- View PDF
- TeX Source
- Other Formats
View a PDF of the paper titled Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks, by Bo Yang and 8 other authors
References & Citations
Bookmark
Bibliographic and Citation Tools
Bibliographic Explorer(What is the Explorer?)
Connected Papers(What is Connected Papers?)
Litmaps(What is Litmaps?)
scite Smart Citations(What are Smart Citations?)
Code, Data and Media Associated with this Article
alphaXiv(What is alphaXiv?)
CatalyzeX Code Finder for Papers(What is CatalyzeX?)
DagsHub(What is DagsHub?)
Gotit.pub(What is GotitPub?)
Hugging Face(What is Huggingface?)
Papers with Code(What is Papers with Code?)
ScienceCast(What is ScienceCast?)
Demos
Recommenders and Search Tools
Influence Flower(What are Influence Flowers?)
CORE Recommender(What is CORE?)
arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community?Learn more about arXivLabs.