Ultra-low latency communication technique for augmented reality application in mobile edge computing

被引:0
|
作者
Narayanan, S. [1 ]
Arora, Rakesh Kumar [2 ]
Gangwar, Sanjeev [3 ]
Kandhasamy, J. Pradeep [4 ]
Ratheesh, T. [5 ]
Murali, K. [6 ]
机构
[1] SRM Valliammai Engn Coll, Dept Informat Technol, Kattankulathur, Tamil Nadu, India
[2] Dr Akhilesh Das Gupta Inst Profess Studies, Delhi, India
[3] VBS Purvanchal Univ, Dept Comp Applicat, Jaunpur, Uttar Pradesh, India
[4] Kalasalingam Acad Res & Educ, Sch Comp, Krishnankoil, India
[5] Coll Engn Trikaripur, Dept Elect & Commun Engn, PO Cheemeni, Kasargod 671313, India
[6] Vijaya Inst Technol Women, Dept ECE, Enikepadu, Andhra Pradesh, India
关键词
mobile edge computing; MEC; processor sharing server; ultra low latency communication augmented reality; COMPUTATIONAL RESOURCES; RADIO;
D O I
10.1504/IJESMS.2024.138288
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In wireless communication, ultra low-latency communications (ULLC) services offer short packets that may coincide alongside enhanced mobile broadband (eMBB) services which send lengthy packets. In a mobile edge computing architecture with eMBB and URLLC services, we explore how to evaluate latency and enhance shorter packet offloading methods. Using eMBB and URLLC functions, we examine how to evaluate latency and enhance shorter packet offloading methods in mobile edge computing (MEC) approach. In the MEC system, a server called processor sharing (PS) is utilised to reduce computation delay for short packets by distributing the server's whole processing power equally to all packets. The server ignores long packets in favour of shorter ones. With a small packet size, a closed-form formula for the complementary latency distribution function may be developed. To minimise the short packet's end-to-end (E2E) latency, offloading probabilities are adjusted based on the dependable demand. In tests with short and long packets, the processor-sharing server outperforms two types of first-come, first-serve servers.
引用
收藏
页码:97 / 105
页数:10
相关论文
共 50 条
  • [1] Ultra-low latency communication technology for Augmented Reality application in mobile periphery computing
    Nagu B.
    Arjunan T.
    Bangare M.L.
    Karuppaiah P.
    Kaur G.
    Bhatt M.W.
    [J]. Paladyn, 2023, 14 (01):
  • [2] Ultra-Low Latency Multi-Task Offloading in Mobile Edge Computing
    Zhang, Hongxia
    Yang, Yongjin
    Huang, Xingzhe
    Fang, Chao
    Zhang, Peiying
    [J]. IEEE ACCESS, 2021, 9 : 32569 - 32581
  • [3] Ultra-low Latency Service Provision in Edge Computing
    Luo, Jie
    Deng, Xiaoheng
    Zhang, Honggang
    Qi, Huamei
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
  • [4] Ultra-Low Latency Mobile Networking
    Chen, Kwang-Cheng
    Zhang, Tao
    Gitlin, Richard D.
    Fettweis, Gerhard
    [J]. IEEE NETWORK, 2019, 33 (02): : 181 - 187
  • [5] Home Edge Computing (HEC): Design of a New Edge Computing Technology for Achieving Ultra-Low Latency
    Babou, Cheikh Saliou Mbacke
    Fall, Doudou
    Kashihara, Shigeru
    Niang, Ibrahima
    Kadobayashi, Youki
    [J]. EDGE COMPUTING - EDGE 2018, 2018, 10973 : 3 - 17
  • [6] SDVEC: Software-Defined Vehicular Edge Computing with Ultra-Low Latency
    Lin, Shih-Chun
    Chen, Kwang-Cheng
    Karimoddini, Ali
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2021, 59 (12) : 66 - 72
  • [7] An edge computational offloading architecture for ultra-low latency in smart mobile devices
    Benjamin Kwapong Osibo
    Zilong Jin
    Tinghuai Ma
    Bockarie Daniel Marah
    Chengbo Zhang
    Yuanfeng Jin
    [J]. Wireless Networks, 2022, 28 : 2061 - 2075
  • [8] An edge computational offloading architecture for ultra-low latency in smart mobile devices
    Osibo, Benjamin Kwapong
    Jin, Zilong
    Ma, Tinghuai
    Marah, Bockarie Daniel
    Zhang, Chengbo
    Jin, Yuanfeng
    [J]. WIRELESS NETWORKS, 2022, 28 (05) : 2061 - 2075
  • [9] Data Offloading and Sharing for Latency Minimization in Augmented Reality Based on Mobile-Edge Computing
    Liu, Wenhang
    Ren, Jinke
    Huang, Guan
    He, Yinghui
    Yu, Guanding
    [J]. 2018 IEEE 88TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2018,
  • [10] Mobile Edge Computing for Ultra-Reliable and Low-Latency Communications
    Jiang, Kai
    Zhou, Huan
    Chen, Xin
    Zhang, Haijun
    [J]. IEEE Communications Standards Magazine, 2021, 5 (02): : 68 - 75