无线电工程2025，Vol.55Issue(10)：1986-1995,10.DOI:10.3969/j.issn.1003-3106.2025.10.005
可重构智能超表面辅助的V2I网络中断性能研究
On Outage Performance of RIS-aided V2I Networks
摘要
Abstract
The outage performance for Reconfigurable Intelligent Surface(RIS)-aided multi-cell Vehicle-to-Infrastructure(V2I)communication systems is systematically analyzed and optimized.The closed-form Outage Probability(OP)expression for Nakagami-m-fading V2I links is derived by modeling signal and interference distributions via the moment-matching technique.The expression reveals an important principle:as the number of RIS reflecting elements increases,the signal power grows significantly greater than the inter-cell interference power.To further optimize the outage performance of RIS-aided V2I communications,a centralized Deep Reinforcement Learning(DRL)-based power control approach is proposed.The proposed solution employs the Proximal Policy Optimization(PPO)algorithm to achieve the optimization objective of minimizing the average outage probability of V2I links through real-time dynamic adjustment of the Roadside Unit(RSU)transmission power.Simulations verify the theoretical derivations,and demonstrate that RIS deployment combined with optimized power control substantially improves the reliability of V2I networks.关键词
车-基础设施/可重构智能超表面/中断概率/功率控制/深度强化学习Key words
V2I/RIS/OP/power control/DRL分类
信息技术与安全科学引用本文复制引用
周墨淼,王玉洁,赵飞飞,杨龙..可重构智能超表面辅助的V2I网络中断性能研究[J].无线电工程,2025,55(10):1986-1995,10.基金项目
国家自然科学基金(62001152) （62001152）
安徽省自然科学基金(2408085MF160)National Natural Science Foundation of China(62001152) （2408085MF160）
Anhui Provincial Natural Science Foundation of China(2408085MF160) （2408085MF160）
