Energy‐Efficient Offloading for Mobile Edge Computing
Changsheng You, Yuyi Mao, Jun Zhang, Kaibin Huang · Wiley 5G Ref · 2019
Abstract The visions of Internet of Things and 5G communications have driven the evolution of mobile computing paradigm, shifting from the centralized mobile cloud computing toward mobile edge computing (MEC). By pushing mobile computing, network control, and storage to the network edges (e.g. base stations and wireless access points), MEC is expected to enable computation‐intensive and latency‐critical applications at the resource‐limited mobile devices. MEC promises dramatic reduction in mobile energy consumption and latency, tackling the key challenges for realizing the 5G visions. The promised gains of MEC have motivated extensive research efforts in both academia and industry. A main thrust of MEC research is to seamlessly integrate the two disciplines of wireless communications and mobile computing, leading to a wide range of new designs ranging from techniques for energy‐efficient computation offloading to network architectures. This article first introduces the basic principles of computation offloading in MEC, and then provides a comprehensive survey of the state‐of‐the‐art MEC research with emphasis on energy‐efficient computation offloading and joint radio‐and‐computational resource management. Last, we introduce recent 5G standardization efforts on MEC as well as typical use scenarios.