Collaborative Mobile Edge Computing in 5G Networks: New Paradigms, Scenarios, and Challenges

By Tuyen X. Tran, Abolfazl Hajisami, Parul Pandey, Dario Pompili. IEEE Communications Magazine, 2016

805 citations recorded by the source corpus.

MEC is an emerging paradigm that provides computing, storage, and networking resources within the edge of the mobile RAN. MEC servers are deployed on a generic computing platform within the RAN, and allow for delay-sensitive and context-aware applications to be executed in close proximity to end users. This paradigm alleviates the backhaul and core network and is crucial for enabling low-latency, high-bandwidth, and agile mobile services. This article envisions a real-time, context-aware collaboration framework that lies at the edge of the RAN, comprising MEC servers and mobile devices, and amalgamates the heterogeneous resources at the edge. Specifically, we introduce and study three representative use cases ranging from mobile edge orchestration, collaborative caching and processing, and multi-layer interference cancellation. We demonstrate the promising benefits of the proposed approaches in facilitating the evolution to 5G networks. Finally, we discuss the key technical challenges and open research issues that need to be addressed in order to efficiently integrate MEC into the 5G ecosystem.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/cee09a03be2917fb5ef5d9d4f7354a330ad3f65d

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Citations in the corpus

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey (2019, neutral): “, edge caching [16], computation offloading [17].”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “As a result, the combination of HetNets and C-RANs, known as heterogeneous C-RANs (H-CRANs), is proposed as a potential solution to provide high spectral and energy efﬁciency [220].”
User-Centric Cell-Free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions (2021, background): “Similarly, [8] studies the uplink of cell-free massive MIMO systems under limited fronthaul, hardware impairments, and different signal/CSI quantization and transmission techniques.”
Securing Fog Computing for Internet of Things Applications: Challenges and Solutions (2018, neutral): “, the base station [47].”
Joint Task Offloading and Resource Allocation for Multi-Server Mobile-Edge Computing Networks (2017, methodology): “For instance, our previous work in [2] proposed to explore the”
Edge Computing in 5G: A Review (2019, background): “In [78], a context-aware, real-time collaborative architecture is proposed tomanage heterogeneous resources (e.”
Collaborative Cloud and Edge Computing for Latency Minimization (2019, background): “TO COPE with the tremendous growth of mobile data traffic, edge computing has been recently proposed as a promising means to substantially improve the computation performance by deploying cloud computing services at the edge of a network [2]– [4].”
Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, neutral): “computing solutions like MEC [37], [48], [49].”
A Survey on Mobile Edge Computing: The Communication Perspective (2017, background): “Several attractive use scenarios of MEC in 5G networks are also introduced in [26], ranging from mobile-edge orchestration, collaborative caching and processing, and multi-layer interference cancellation.”
Blockchain for Internet of Things: A Survey (2019, background): “The orchestration of MEC and cloud computing becomes an important issue in the sense of allocating resource in BCoT [104].”
5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges (2019, background): “By processing data locally, MEC applications can also signiﬁcantly reduce data transfer costs [61] .”
Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing (2018, background): “The other one is, the cloud resources are optimized by enabling edge nodes with computing ability [14].”
Edge-computing-driven Internet of Things: A Survey (2022, background): “However, performance without edge computing is not good enough in terms of latency and accuracy [172].”
Computation Offloading and Resource Allocation in Mixed Fog/Cloud Computing Systems With Min-Max Fairness Guarantee (2018, background): “Mobile edge computing [3] (or fog computing [4]) has been proposed as a supplement to MCC for further energy saving and delay reduction in recent years [5].”
Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things (2020, background): “With this position, MEC can help satisfy the stringent low-latency and high-reliability requirements of 5G networks [90].”