Mobile edge computing and field trial results for 5G low latency scenario

Zhang, Jianmin; Xie, Weiliang; Yang, Fengyi; Bi, Qi

doi:10.1109/cc.2016.7833471

Cited by 18 publications

(18 citation statements)

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“…Require lightweight over the world. Require sophisticated configuration and planning [5] configuration and planning [22] Distance to end users Small Large (tens to hundreds of meters) [15] (may across the country border) [26] Backhaul usage Infrequent use Frequent use Alleviate congestion [27] Likely to cause congestion [27] System management Hierarchical control Centralized control [28] (centralized/distributed) [28] Supportable latency Less than tens of milliseconds [15], [29] Larger than 100 milliseconds [30], [31] Applications Latency-critical and computation-intensive Latency-tolerant and computation-intensive applications, e.g., AR, automatic driving, applications, e.g., online social networking, and interactive online gaming [5], [32]. and mobile commerce/health/learning [33]- [36].…”

Section: Paper Motivation and Outlinementioning

confidence: 99%

A Survey on Mobile Edge Computing: The Communication Perspective

Mao

You

Zhang

et al. 2017

IEEE Commun. Surv. Tutorials

4,358

1,998

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Abstract-Driven by the visions of Internet of Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from the centralized Mobile Cloud Computing towards Mobile Edge Computing (MEC). The main feature of MEC is to push mobile computing, network control and storage to the network edges (e.g., base stations and access points) so as to enable computation-intensive and latency-critical applications at the resource-limited mobile devices. MEC promises dramatic reduction in latency and mobile energy consumption, tackling the key challenges for materializing 5G vision. The promised gains of MEC have motivated extensive efforts in both academia and industry on developing the technology. A main thrust of MEC research is to seamlessly merge the two disciplines of wireless communications and mobile computing, resulting in a wide-range of new designs ranging from techniques for computation offloading to network architectures. This paper provides a comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management. We also discusse a set of issues, challenges and future research directions for MEC research, including MEC system deployment, cache-enabled MEC, mobility management for MEC, green MEC, as well as privacy-aware MEC. Advancements in these directions will facilitate the transformation of MEC from theory to practice. Finally, we introduce recent standardization efforts on MEC as well as some typical MEC application scenarios.

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Section: Paper Motivation and Outlinementioning

confidence: 99%

A Survey on Mobile Edge Computing: The Communication Perspective

Mao

You

Zhang

et al. 2017

IEEE Commun. Surv. Tutorials

4,358

1,998

View full text Add to dashboard Cite

show abstract

“…It can provide up to 300% overloading that triples the whole system throughput while still enjoying the link performance close to orthogonal transmissions. In [240], the concept of MEC was introduced first time for 5G followed by promising field tests. The MEC was tested and analyzed on various cases including local breakout and network E2E latency.…”

Section: Field Tests Trials and Experimentsmentioning

confidence: 99%

A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions

Parvez

Rahmati

Güvenç

et al. 2018

IEEE Commun. Surv. Tutorials

764

395

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The fifth generation (5G) wireless network technology is to be standardized by 2020, where main goals are to improve capacity, reliability, and energy efficiency, while reducing latency and massively increasing connection density. An integral part of 5G is the capability to transmit touch perception type real-time communication empowered by applicable robotics and haptics equipment at the network edge. In this regard, we need drastic changes in network architecture including core and radio access network (RAN) for achieving end-to-end latency on the order of 1 ms. In this paper, we present a detailed survey on the emerging technologies to achieve low latency communications considering three different solution domains: RAN, core network, and caching. We also present a general overview of 5G cellular networks composed of software defined network (SDN), network function virtualization (NFV), caching, and mobile edge computing (MEC) capable of meeting latency and other 5G requirements.

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“…Technology groups (5) and (6) have not yet been standardized, but they are essential technologies to realize MEC services. Technology group (5) guarantees a user's QoE by offloading the intensive computational tasks to edge nodes or edge servers [21].…”

Section: Non-3gpp Standardization Activitymentioning

confidence: 99%

Ultra‐low‐latency services in 5G systems: A perspective from 3GPP standards

et al. 2020

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Recently, there is an increasing demand for ultra‐low‐latency (ULL) services such as factory automation, autonomous driving, and telesurgery that must meet an end‐to‐end latency of less than 10 ms. Fifth‐generation (5G) New Radio guarantees 0.5 ms one‐way latency, so the feasibility of ULL services is higher than in previous mobile communications. However, this feasibility ensures performance at the radio access network level and requires an innovative 5G network architecture for end‐to‐end ULL across the entire 5G system. Hence, we survey in detailed two the 3rd Generation Partnership Party (3GPP) standardization activities to ensure low latency at network level. 3GPP standardizes mobile edge computing (MEC), a low‐latency solution at the edge network, in Release 15/16 and is standardizing time‐sensitive communication in Release 16/17 for interworking 5G systems and IEEE 802.1 time‐sensitive networking (TSN), a next‐generation industry technology for ensuring low/deterministic latency. We developed a 5G system based on 3GPP Release 15 to support MEC with a potential sub‐10 ms end‐to‐end latency in the edge network. In the near future, to provide ULL services in the external network of a 5G system, we suggest a 5G‐IEEE TSN interworking system based on 3GPP Release 16/17 that meets an end‐to‐end latency of 2 ms.

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Mobile edge computing and field trial results for 5G low latency scenario

Cited by 18 publications

References 0 publications

A Survey on Mobile Edge Computing: The Communication Perspective

A Survey on Mobile Edge Computing: The Communication Perspective

A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions

Ultra‐low‐latency services in 5G systems: A perspective from 3GPP standards

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