most citedDeep Reinforcement Learning Based Spectrum Allocation in Integrated Access and Backhaul Networks

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 1 cited

Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT

Wanlu Lei, Yu Ye, Ming Xiao +2

Edge computing provides a promising paradigm to support the implementation of Industrial Internet of Things (IIoT) by offloading tasks to nearby edge nodes. Meanwhile, the increasi…

cs.IT2020★ 2 cited

Deep Reinforcement Learning Based Spectrum Allocation in Integrated Access and Backhaul Networks

Wanlu Lei, Yu Ye, Ming Xiao

We develop a framework based on deep reinforce-ment learning (DRL) to solve the spectrum allocation problem inthe emerging integrated access and backhaul (IAB) architecturewith lar…