Research on Intelligent Vehicle Infrastructure Cooperative System Based on 5G Mobile Edge Computing

Chen, Xiaowei; Jin, Zhigang; Zhang, Sulin; Li, Jinliang; Zhang, Jun

doi:10.1109/ictis54573.2021.9798458

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…It also emphasizes the importance of vehicle-toeverything (V2X) technology in providing redundancy and alleviating the stringent requirements of edge computing workloads. In [23], the authors investigate the relationship between edge computing and vehicle safety and design an intelligent vehicle-road cooperative system using mobile edge computing to decrease the network latency of data transmission. In addition, [24] proposes a MEC scheme that migrates computing and storage capabilities to network edge nodes to meet the requirements of performing computationally intensive or delay-sensitive tasks on vehicles.…”

Section: B Related Workmentioning

confidence: 99%

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Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication

Huang

Zappone

Alexandropoulos

et al. 2019

IEEE Trans. Wireless Commun.

2,967

1,911

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The adoption of a Reconfigurable Intelligent Surface (RIS) for downlink multi-user communication from a multiantenna base station is investigated in this paper. We develop energy-efficient designs for both the transmit power allocation and the phase shifts of the surface reflecting elements, subject to individual link budget guarantees for the mobile users. This leads to non-convex design optimization problems for which to tackle we propose two computationally affordable approaches, capitalizing on alternating maximization, gradient descent search, and sequential fractional programming. Specifically, one algorithm employs gradient descent for obtaining the RIS phase coefficients, and fractional programming for optimal transmit power allocation. Instead, the second algorithm employs sequential fractional programming for the optimization of the RIS phase shifts. In addition, a realistic power consumption model for RIS-based systems is presented, and the performance of the proposed methods is analyzed in a realistic outdoor environment. In particular, our results show that the proposed RIS-based resource allocation methods are able to provide up to 300% higher energy efficiency, in comparison with the use of regular multi-antenna amplify-and-forward relaying. .sg)A. Zappone and M. Debbah are with CentraleSupélec, University Paris-Saclay, 91192 Gif-sur-Yvette, France. M. Debbah is also with the Mathematical and

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Section: B Related Workmentioning

confidence: 99%

“…(20) Then, we focus our attention on the computation of (20). It is assumed that h m,n , h R,n and h m,R are independent of each other, so we can derive ( 21)- (23), where…”

Section: E Problem Formulation and Analysismentioning

confidence: 99%