Learning to branch: Accelerating resource allocation in wireless networks

M Lee, G Yu, GY Li - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Resource allocation in wireless networks, such as device-to-device (D2D) communications,
is usually formulated as mixed integer nonlinear programming (MINLP) problems, which are …
被引用次数：72 相关文章

Learning to Branch: Accelerating Resource Allocation in Wireless Networks

M Lee, G Yu, GY Li - arXiv preprint arXiv:1903.01819, 2019 - arxiv.org
Resource allocation in wireless networks, such as device-to-device (D2D) communications,
is usually formulated as mixed integer nonlinear programming (MINLP) problems, which are …

Learning to Branch: Accelerating Resource Allocation in Wireless Networks

M Lee, G Yu, GY Li - arXiv, 2019 - dml.mathdoc.fr
Resource allocation in wireless networks, such as device-to-device (D2D) communications,
is usually formulated as mixed integer nonlinear programming (MINLP) problems, which are …

Learning to Branch: Accelerating Resource Allocation in Wireless Networks

M Lee, G Yu, GY Li - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Resource allocation in wireless networks, such as device-to-device (D2D) communications,
is usually formulated as mixed integer nonlinear programming (MINLP) problems, which are …