A Blockchain-Enabled Cold Start Aggregation Scheme for Federated Reinforcement Learning-Based Task Offloading in Zero Trust LEO Satellite Networks
Northwestern Polytechnical University · Tohoku University
Abstract
The development of 6G should enable users in remote and harsh areas to enjoy computation-intensive services including metaverse entertainment, intelligent transportation, and immersive communications. Low Earth Orbit (LEO) satellite constellations widely constructed in recent years have been recognized as an efficient solution to complement the terrestrial infrastructure with seamless coverage and decreasing expenses for both communication and computation services. However, the widely studied Federated Reinforcement Learning (FRL) based task offloading strategies neglect the potential trust concerns like malicious satellites and buffer pollution, while 6G service providers may rent the LEO satellites belonging…
Citation impact
- FWCI
- 56.54
- Percentile
- 100%
- References
- 37
Authors
8Topics & keywords
- Computer science
- Reinforcement learning
- Blockchain
- Scheme (mathematics)
- Task (project management)
- Satellite
- Computer network
- Zero (linguistics)