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An Optimization method for the Internet of vehicles oriented to moving relay
Author(s) -
Cai Liang
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2189/1/012026
Subject(s) - relay , scheduling (production processes) , computer science , telecommunications link , computer network , real time computing , outage probability , fair share scheduling , dynamic priority scheduling , distributed computing , mathematical optimization , quality of service , mathematics , fading , power (physics) , channel (broadcasting) , physics , quantum mechanics
Moving relay (MR) is a relay node deployed on public transportation such as cars and trains, which can effectively combat the vehicle penetration loss (VPL) problem in vehicle communication. outage probability (OP) is an expression of link capacity. When the link capacity cannot meet the required user rate, an outage will occur. For the downlink multi-user network, we compared the performance of direct transmission and MR-assisted transmission with the probability of interruption as a performance indicator. Subsequently, we design a joint optimization scheme for transmission mode selection and user scheduling, select the transmission mode suitable for the user, schedule the user with the largest information rate, and derive the closed-form expression of the scheduling scheme. And compared with random selection scheduling. The experiment compares random scheduling with the scheduling scheme we proposed. Experimental results show that compared with random selection and scheduling scheme, the proposed scheduling scheme can reduce OP, thereby improving system performance.

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