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This paper presents a hybrid NOMA-FDMA assisted dual computation offloading approach aimed at minimizing latency for resource-constrained wireless devices (WDs) in edge computing environments. The authors propose a layered distributed algorithm for optimizing dual offloading decisions and resource allocation, while also introducing a cross-entropy based learning algorithm for effective NOMA grouping of WDs. Numerical results validate the effectiveness of the proposed methods in improving offloading efficien
- Author
- 李洋
- Language
- EN