From 5G to beyond: Passive optical network and multi-access edge computing integration for latency-sensitive applications

被引:22
作者
Dias, Imali [1 ]
Ruan, Lihua [2 ]
Ranaweera, Chathurika [1 ]
Wong, Elaine [3 ]
机构
[1] Deakin Univ, Fac Sci Engn & Built Environm, Geelong, Vic 3125, Australia
[2] Chinese Univ Hongkong, Shenzhen 518172, Peoples R China
[3] Univ Melbourne, Dept Elect & Elect Engn, Melbourne, Vic 3010, Australia
关键词
Federated learning; Human-to-Machine; Robot (H2M; R); communications; Low-latency applications; Multi-access edge computing (MEC); Passive optical network (PON); DYNAMIC BANDWIDTH ALLOCATION; NEXT-GENERATION; TDM-PON; INTERNET; TECHNOLOGY; DESIGN; THINGS; SCHEME;
D O I
10.1016/j.yofte.2022.103191
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A recent paradigm shift in support of 5G-and-beyond (5GB), Human-to-Machine/Robot (H2M/R), and the Tactile Internet has resulted in a surge of latency-sensitive applications being delivered across communication networks. These applications in conjunction with exponential growth in connected devices, have pushed for architectural and capacity changes in both wired and wireless networks. Passive optical networks (PONs) have evolved in terms of their capacity and function over the years and are now supporting both fixed as well as x-haul solutions to deliver cost-efficient, low-latency and high-bandwidth applications to end-users. In combination with multi-access edge computing (MEC), high computational tasks of applications can be offloaded to servers much closer to end-users further reducing the network latency. To this end, this paper presents a comprehensive review of the capabilities of integrated PON-MECs in delivering emerging latency sensitive applications. Specific use case scenarios benefiting from integrated PON-MECs are also detailed. Shared learning through a federated PON-MEC framework to expedite resource allocation decisions is discussed and finally, the time-savings arising from implementing the proposed framework is quantified, showing further improvements in network latency performance.
引用
收藏
页数:12
相关论文
共 93 条
  • [1] Next Generation 5G Wireless Networks: A Comprehensive Survey
    Agiwal, Mamta
    Roy, Abhishek
    Saxena, Navrati
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2016, 18 (03): : 1617 - 1655
  • [2] Al-Falahy N, 2017, IT PROF, V19, P12, DOI 10.1109/MITP.2017.9
  • [3] [Anonymous], 2020, 8023CA2020 IEEE
  • [4] [Anonymous], 2015, 40 GIG CAP PASS OPT
  • [5] [Anonymous], 2020, US
  • [6] [Anonymous], 2009, 8023AV IEEE
  • [7] [Anonymous], 2016, Recommendation ITU-T G.9807.1
  • [8] [Anonymous], 2013, whitepaper
  • [9] [Anonymous], 2021, ITU T RECOMMENDATION
  • [10] [Anonymous], 2021, BROADBANDWORLDNEWS