  In this paper, we consider a multiuser mobile edge computing (MEC) system,
where a mixed-integer offloading strategy is used to assist the resource
assignment for task offloading. Although the conventional branch and bound
(BnB) approach can be applied to solve this problem, a huge burden of
computational complexity arises which limits the application of BnB. To address
this issue, we propose an intelligent BnB (IBnB) approach which applies deep
learning (DL) to learn the pruning strategy of the BnB approach. By using this
learning scheme, the structure of the BnB approach ensures near-optimal
performance and meanwhile DL-based pruning strategy significantly reduces the
complexity. Numerical results verify that the proposed IBnB approach achieves
optimal performance with complexity reduced by over 80%.
