Joint Sensing, Communications, and Computing Design for 6G URLLC Service-Oriented MEC Networks

被引:1
作者
Huynh, Dang Van [1 ]
Khosravirad, Saeed R. [2 ]
Cotton, Simon L. [3 ]
Vu, Thang X. [4 ]
Dobre, Octavia A. [1 ]
Shin, Hyundong [5 ,6 ,7 ]
Duong, Trung Q. [1 ]
机构
[1] Mem Univ, Fac Engn & Appl Sci, St John, NF A1B 3X5, Canada
[2] Nokia Bell Labs, Murray Hill, NJ 07964 USA
[3] Queens Univ Belfast, Ctr Wireless Innovat, Sch Elect Elect Engn & Comp Sci, Belfast BT3 9DT, Antrim, North Ireland
[4] Univ Luxembourg, Interdisciplinary Ctr Secur Reliabil & Trust, L-1855 Esch Sur Alzette, Luxembourg
[5] Kyung Hee Univ, Dept Elect & Informat Convergence Engn, Gyeonggi 17104, South Korea
[6] Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast BT7 1NN, North Ireland
[7] Kyung Hee Univ, Dept Elect Engn, Gyeonggi 17104, South Korea
来源
IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 20期
基金
新加坡国家研究基金会; 英国工程与自然科学研究理事会;
关键词
Task analysis; Optimization; Sensors; Resource management; Ultra reliable low latency communication; Servers; Robot sensing systems; Integrated sensing and communications (ISACs); mobile edge computing (MEC); service-oriented networks; task offloading; ultrareliable and low-latency communications; SHORT BLOCKLENGTH REGIME; RESOURCE-ALLOCATION; LATENCY; MANAGEMENT; PLACEMENT; SYSTEMS; POWER;
D O I
10.1109/JIOT.2024.3418650
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The convergence of advanced communication technologies and powerful computing architecture has unlocked a plethora of opportunities for Internet-of-Things applications. To fully realize this potential, a synergistic design encompassing sensing, computing, and communication is crucial. This article investigates these critical technologies to facilitate service-oriented systems by minimizing end-to-end latency and the number of deployed services at edge servers in mobile edge computing, all within the confines of stringent ultrareliable and low-latency communication requirements and system budget constraints. The addressed optimization problem takes into account variables, such as service placement strategies, task offloading portions, and bandwidth allocation. Simulation results validate the effectiveness of our solution and highlight the impact of key parameters on system performance.
引用
收藏
页码:32429 / 32439
页数:11
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