Deep reinforcement learning based computation offloading and resource allocation for MEC
Mobile edge computing (MEC) has the potential to enable computation-intensive
applications in 5G networks. MEC can extend the computational capacity at the edge of …
applications in 5G networks. MEC can extend the computational capacity at the edge of …
[PDF][PDF] Deep Reinforcement Learning based Computation Offloading and Resource Allocation for MEC
HG JiLi, T Lv, Y Lu - researchgate.net
Mobile edge computing (MEC) has the potential to enable computation-intensive
applications in 5G networks. MEC can extend the computational capacity at the edge of …
applications in 5G networks. MEC can extend the computational capacity at the edge of …
[引用][C] Deep reinforcement learning based computation offloading and resource allocation for MEC
J Li, H Gao, T Lv, Y Lu - 2018 IEEE Wireless Communications and …, 2018 - cir.nii.ac.jp
Deep reinforcement learning based computation offloading and resource allocation for
MEC | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索 …
MEC | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索 …
Deep reinforcement learning based computation offloading and resource allocation for MEC
J Li, H Gao, T Lv, Y Lu - 2018 IEEE Wireless Communications and …, 2018 - dl.acm.org
Mobile edge computing (MEC) has the potential to enable computation-intensive
applications in 5G networks. MEC can extend the computational capacity at the edge of …
applications in 5G networks. MEC can extend the computational capacity at the edge of …