Collaborative Offloading with Temporal Tolerance in Cybertwin-enabled 6G

Cybertwin-enabled 6G, by mapping physical entities to Cybertwins endowed with distributed data-centered autonomy, is envisioned to cater to intelligent and flexible services. It plays a critical role in resolving potential conflicts in service integration arising from the proliferation of Internet of Everything devices (IoEDs). However, Cybertwins may encounter temporal dependencies when decoupling data and functionality during the offloading process. To address this issue, we initially decouple the offloading into three segments, adaptively distributed among IoEDs, Cybertwins, and the edge cloud. Subsequently, the Potential Minimum Point with Temporal Lag Tolerance (PMP-TLT) algorithm is introduced. The proposed PMP-TLT utilizes the Temporal Lag Tolerance (TLT) between Cybertwins and IoEDs, breaking the Cybertwins into collaborative active and dormant states. This separation facilitates parallel processing, boosting computational speed. Finally, we highlight the merits of our algorithm in terms of efficiency and complexity, especially for asymmetric solving scales. Additionally, our analysis underscores the performance benefits of the Cybertwin-enabled 6G design, particularly regarding power savings and reduced latency.