L. Kong, J. He, Y. Ai, S. Chatzinotas and B. Ottersten, "Channel Modeling and Analysis of Reconfigurable Intelligent Surfaces Assisted Vehicular Networks," 2021 IEEE International Conference on Communications Workshops (ICC Workshops), 2021, pp. 1-6, doi: 10.1109/ICCWorkshops50388.2021.9473681
Channel Modeling and Analysis of Reconfigurable Intelligent Surfaces Assisted Vehicular Networks
|Author:||Kong, Long1; He, Jiguang2; Ai, Yun3;|
1The Interdisciplinary Centre for Security Reliability and Trust (SnT), University of Luxembourg, Luxembourg
2Center for Wireless Communications (CWC), University of Oulu, Oulu, Finland
3Faculty of Engineering, Norwegian University of Science and Technology, 2815 Gjøvik, Norway
|Online Access:||PDF Full Text (PDF, 1.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2021100149103
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2021-10-01
The new concept named reconfigurable intelligent surfaces (RIS) is becoming an appealing enabler due to its uniqueness with having low hardware complexity and low power consumption advantages simultaneously. In this paper, an RIS-aided vehicular Adhoc network (VANET) is considered, where the beacon vehicle is enabled with a passive RIS, the communication links between the beacon vehicle and client vehicle caused due to the multipath fading effects, are modeled with Fox’s H-function distribution. This paper first models the inter-vehicle links for the given system setup and then investigates the outage probability and effective rate as performance metrics. More specifically, the unsupervised expectation-maximization (EM) algorithm is consequently used to characterize the distribution of the received signal-to-noise ratio (SNR) at the client vehicle, which is modeled as the mixture of Gaussian (MoG) distribution. The accuracy of our approach is further validated with the Kolmogorov-Smirnov (KS) goodness of fit test. The MoG-based approach successfully tackles the RIS-enabled inter-vehicle communication with an easy, accurate, and tractable solution compared to the widely used central limit theorem (CLT) method. It leads to the closed-form outage probability and effective rate expressions.
IEEE International Conference on Communications workshop
|Pages:||1 - 6|
2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021
IEEE International Conference on Communications Workshops
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work has been supported by the Luxembourg National Research Fund (FNR) projects, titled Exploiting Interference for Physical Layer Security in 5G Networks (CIPHY), and Reconfigurable Intelligent Surfaces for Smart Cities (RISOTTI).
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