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Task Offloading and Resource Allocation in an RIS-assisted NOMA-based Vehicular Edge Computing

Research Authors
Abdul-Baaki Yakubu, Ahmed H Abd El-Malek, Mohammed Abo-Zahhad, Osamu Muta, Maha M Elsabrouty
Research Member
Research Department
Research Date
Research Year
2024
Research Journal
IEEE Access
Research Publisher
IEEE
Research Abstract

With the rise of intelligent transportation (ITS), autonomous cars, and on-the-road entertainment and computation, vehicular edge computing (VEC) has become a primary research topic in 6G and beyond communications. On the other hand, reconfigurable intelligent surfaces (RIS) are a major enabling technology that can help in the task offloading domain. This study introduces a novel VEC architecture that incorporates non-orthogonal multiple access (NOMA) and reconfigurable intelligent surfaces (RIS), where vehicles perform binary or partial computation offloading to edge nodes (eNs) for task execution. We construct a vehicle-to-infrastructure (V2I) transmission model by considering vehicular interference and formulating a joint task offloading and resource allocation (JTORA) problem with the goal of reducing total service latency and energy usage. Next, we decompose this problem into task offloading (TO …