MiFo: A novel edge network integration framework for fog computing
- 171 Downloads
Fog computing has been recently proposed to move certain cloud computing services down to edge networks especially for mobile applications, aiming at improving the throughput and delay through the collaboration of mobile devices at edge wireless networks. Yet, the current edge wireless networks are the bottleneck that prohibits mobile devices to efficiently share their resources, due to the lack of an efficient mechanism of coordinating heterogeneous wireless networks (e.g., LTE, WiFi, and WiMax) to better utilize the radio resources. In this paper, we propose MiFo, a novel hierarchical dual-layer edge network integration framework for fog computing. At the lower level, the Mist layer manages the baseband resources of homogeneous networks in a centralized way, which can enhance the transmission performance through physical layer cooperation among base stations. At the upper level, the Fog layer coordinates the heterogeneous network access and the resource scheduling. In MiFo, we also propose a multi-stream concurrent (MSC) transmission protocol, which can make full use of diverse wireless network resources and significantly improve the data transmission rate of multi-mode mobile devices. The proposed MSC transmission protocol can also achieve smart handover and improve the energy efficiency as well.
KeywordsEdge network Fog computing Heterogeneous wireless network
This work was supported in part by the National Natural Science Foundation of China under Grant 61702204, Grant 61502192, and Grant 61502193, and in part by the Fundamental Research Funds for the Central Universities under Grant 2016YXMS293.
- 3.AlQerm I, Shihada B (2018) Sophisticated online learning scheme for green resource allocation in 5g heterogeneous cloud radio access networks. IEEE Trans Mob ComputGoogle Scholar
- 4.Bonomi F, Milito R, Zhu J, Addepalli S (2012) Fog computing and its role in the internet of things. In: Proceedings of the MCC workshop on mobile cloud computingGoogle Scholar
- 5.Yi S, Li C, Li Q (2015) A survey of fog computing: Concepts, applications and issues. In: Proceedings of the workshop on mobile big data (MoBiData). HangzhouGoogle Scholar
- 10.Santos J, Wauters T, Volckaert B, De Turck F (2018) Fog computing: Enabling the management and orchestration of smart city applications in 5g networks. Entropy, 20(1)Google Scholar
- 11.Bachmann K (2017) Design and implementation of a fog computing frameworkGoogle Scholar
- 17.3GPP TS 23.234 V13.1.0 (2017) 3gpp system to wireless local area network (wlan) interworking system description (release 13), March 2017Google Scholar
- 22.Yang B, Wang D, Sun J, Liu Y (2013) On the degrees of freedom region of general mimo broadcast channel with mixed csit. In: Proceedings of IEEE International symposium on information theory (ISIT)Google Scholar
- 23.Zhu Y, Wang L, Wong K-K, Jin S, Zheng Z (2016) Wireless power transfer in massive mimo aided hetnets with user association. IEEE Trans Commun 64(10):4181–4195Google Scholar
- 26.Wang S, Sun Y (2017) Enhancing performance of heterogeneous cloud radio access networks with efficient user association. In: Proceedings of IEEE international conference on communications (ICC)Google Scholar