Details

Autor(en) / Beteiligte

• Han, Xu
• Zhou, Jianshan
• Tian, Daxin
• Duan, Xuting
• Qu, Kaige
• Cai, Pinlong
• Zhao, Dezong
• Sheng, Zhengguo

Titel

Delay-Optimal Cooperative Vehicle-Infrastructure Computing with IRS-Enhanced Secure Wireless Communications

Ist Teil von

• 2023 IEEE International Conference on Unmanned Systems (ICUS), 2023, p.1720-1725

Ort / Verlag

IEEE

Erscheinungsjahr

2023

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• Mobile edge computing(MEC) addresses the challenges posed by the rapid growth of VANETs in transmitting real-time, reliable, and large amounts of data between vehicles and roadside infrastructure. To ensure information security in MEC-based VANETs, Intelligent Reflective Surface (IRS) technology is considered as a viable solution. By combining the technical advantages of edge computing and IRS, this study proposes a joint optimization problem to achieve a secure, efficient, and low-latency offloading and communication scheme for vehicular and roadside infrastructure computation and communication. The PSO algorithm is employed as the basis for an alternating optimization scheme to solve the proposed joint optimization problem. Numerical simulation analyses demonstrate the significant advantages of the proposed solution in terms of overall system latency.