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Performance analysis for large intelligent surface assisted vehicular networks
- Source :
- China Communications. 18:1-17
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- Large intelligent surface (LIS) is considered as a new solution to enhance the performance of wireless networks[1]. LIS comprises low-cost passive elements which can be well controlled. In this paper, a LIS is invoked in the vehicular networks. We analyze the system performance under Weibull fading. We derive a novel exact analytical expression for outage probability in closed form. Based on the analytical result, we discuss three special scenarios including high SNR case, low SNR case, as well as weak interference case. The corresponding approximations for three cases are provided, respectively. In order to gain more insights, we obtain the diversity order of outage probability and it is proved that the outage probability at high SNR depends on the interference, threshold and fading parameters which leads to 0 diversity order. Furthermore, we investigate the ergodic achievable rate of LIS-assisted vehicular networks and present the closed-form tight bounds. Similar to the outage performance, three special cases are studied and the asymptotic expressions are provided in simple forms. A rate ceiling is shown for high SNRs due to the existence of interference which results 0 high SNR slope. Finally, we give the energy efficiency of LIS-assisted vehicular network. Numerical results are presented to verify the accuracy of our analysis. It is evident that the performance of LIS-assisted vehicular networks with optimal phase shift scheme exceeds that of traditional vehicular networks and random phase shift scheme significantly.
- Subjects :
- Vehicular ad hoc network
Computer Networks and Communications
Computer science
business.industry
Wireless network
020206 networking & telecommunications
020302 automobile design & engineering
02 engineering and technology
Interference (wave propagation)
Topology
Communications system
0203 mechanical engineering
Signal-to-noise ratio (imaging)
0202 electrical engineering, electronic engineering, information engineering
Wireless
Fading
Electrical and Electronic Engineering
business
Weibull fading
Computer Science::Information Theory
Subjects
Details
- ISSN :
- 16735447
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- China Communications
- Accession number :
- edsair.doi...........e0a543fe465728b7a547fd1450ac62b1
- Full Text :
- https://doi.org/10.23919/jcc.2021.03.001