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

被引:0
|
作者
Huynh D.V. [1 ]
Khosravirad S.R. [3 ]
Cotton S. [4 ]
Vu T.X. [6 ]
Dobre O.A. [1 ]
Shin H. [7 ]
Duong T.Q. [1 ]
机构
[1] s, NL
[2] Nokia Bell Labs, Murray Hill, NJ
[3] s University Belfast, Belfast
[4] Interdisciplinary Center for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg
[5] Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do
关键词
Integrated sensing and communications; mobile edge computing; Optimization; Resource management; Robot sensing systems; Sensors; Servers; service-oriented networks; Task analysis; task offloading; Ultra reliable low latency communication; ultra-reliable and low latency communications;
D O I
10.1109/JIOT.2024.3418650
中图分类号
学科分类号
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 realise this potential, a synergistic design encompassing sensing, computing, and communication is crucial. This paper investigates these critical technologies to facilitate service-oriented systems by minimising end-to-end latency and the number of deployed services at edge servers in mobile edge computing, all within the confines of stringent ultra-reliable and low-latency communication requirements and system budget constraints. The addressed optimisation problem takes into account various 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. IEEE
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页码:1 / 1
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