Integrated sensing and communications (ISACs); mobile edge computing (MEC); task offloading; ultrareliable and low-latency communications; Optimisations
Abstract :
[en] 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.
Disciplines :
Computer science
Author, co-author :
Huynh, Dang Van ; Memorial University, Faculty of Engineering and Applied Science, St. John's, Canada
Khosravirad, Saeed R. ; Nokia Bell Labs, Murray Hill, United States
Cotton, Simon L. ; Queen's University Belfast, Centre for Wireless Innovation, School of Electronics, Electrical Engineering and Computer Science, Belfast, United Kingdom
VU, Thang Xuan ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Dobre, Octavia A. ; Memorial University, Faculty of Engineering and Applied Science, St. John's, Canada
Shin, Hyundong ; Kyung Hee University, Department of Electronics and Information Convergence Engineering, Gyeonggi, South Korea
Duong, Trung Q. ; Memorial University, Faculty of Engineering and Applied Science, St. John's, Canada ; Queen's University Belfast, School of Electronics, Electrical Engineering and Computer Science, Belfast, United Kingdom ; Kyung Hee University, Department of Electronic Engineering, Gyeonggi, South Korea
External co-authors :
yes
Language :
English
Title :
Joint Sensing, Communications, and Computing Design for 6G URLLC Service-Oriented MEC Networks
Publication date :
October 2024
Journal title :
IEEE Internet of Things Journal
eISSN :
2327-4662
Publisher :
Institute of Electrical and Electronics Engineers Inc.
FNR17220888 - Distributed And Risk-aware Multi-agent Reinforcement Learning For Resources And Control Management In Multilayer Ground-air-space Networks, 2022 (01/09/2023-31/08/2026) - Thang Xuan Vu
D. V. Huynh, V.-D. Nguyen, O. A. Dobre, S. R. Khosravirad, and T. Q. Duong, “Adaptive service placement, task offloading and bandwidth allocation in task-oriented URLLC edge networks,” in Proc. IEEE Int. Conf. Commun. (ICC), Rome, Italy, Aug. 2023, pp. 5755–5760.
L. Lin, X. Liao, H. Jin, and P. Li, “Computation offloading toward edge computing,” Proc. IEEE, vol. 107, no. 8, pp. 1584–1607, Aug. 2019.
S.-W. Ko, S. J. Kim, H. Jung, and S. W. Choi, “Computation offloading and service caching for mobile edge computing under personalized service preference,” IEEE Trans. Wireless Commun., vol. 21, no. 8, pp. 6568–6583, Aug. 2022.
Q. Luo, S. Hu, C. Li, G. Li, and W. Shi, “Resource scheduling in edge computing: A survey,” IEEE Commun. Surveys Tuts., vol. 23, no. 4, pp. 2131–2165, 4th Quart., 2021.
K. B. Letaief, Y. Shi, J. Lu, and J. Lu, “Edge artificial intelligence for 6G: Vision, enabling technologies, and applications,” IEEE J. Sel. Areas Commun., vol. 40, no. 1, pp. 5–36, Jan. 2022.
K.-C. Chen, S.-C. Lin, J.-H. Hsiao, C.-H. Liu, A. F. Molisch, and G. P. Fettweis, “Wireless networked multirobot systems in smart factories,” Proc. IEEE, vol. 109, no. 4, pp. 468–494, Apr. 2021.
M. Bennis, M. Debbah, and H. V. Poor, “Ultrareliable and low-latency wireless communication: Tail, risk, and scale,” Proc. IEEE, vol. 106, no. 10, pp. 1834–1853, Oct. 2018.
H. Ren, C. Pan, Y. Deng, M. Elkashlan, and A. Nallanathan, “Joint pilot and payload power allocation for massive-MIMO-enabled URLLC IIoT networks,” IEEE J. Sel. Areas Commun., vol. 38, no. 5, pp. 816–830, May 2020.
D. V. Huynh, S. R. Khosravirad, L. D. Nguyen, and T. Q. Duong, “Multiple relay robots-assisted URLLC for industrial automation with deep neural networks,” in Proc. IEEE Global Commun. Conf. (GLOBECOM), Madrid, Spain, Nov. 2021, pp. 1–5.
D. Feng et al., “Toward ultrareliable low-latency communications: Typical scenarios, possible solutions, and open issues,” IEEE Veh. Technol. Mag., vol. 14, no. 2, pp. 94–102, Jun. 2019.
A. A. Nasir, H. D. Tuan, H. Nguyen, M. Debbah, and H. V. Poor, “Resource allocation and beamforming design in the short blocklength regime for URLLC,” IEEE Trans. Wireless Commun., vol. 20, no. 2, pp. 1321–1335, Feb. 2021.
C. Sun, C. She, C. Yang, T. Q. Quek, Y. Li, and B. Vucetic, “Optimizing resource allocation in the short blocklength regime for ultra-reliable and low-latency communications,” IEEE Trans. Wireless Commun., vol. 19, no. 1, pp. 402–415, Jan. 2019.
D. V. Huynh, V.-D. Nguyen, S. Chatzinotas, S. R. Khosravirad, H. V. Poor, and T. Q. Duong, “Joint communication and computation offloading for ultra-reliable and low-latency with multi-tier computing,” IEEE J. Sel. Areas Commun., vol. 41, no. 2, pp. 521–537, Feb. 2022.
Y. Li, D. V. Huynh, T. Do-Duy, E. Garcia-Palacios, and T. Q. Duong, “Unmanned aerial vehicles-aided edge networks with ultra-reliable low-latency communications: A digital twin approach,” IET Signal Process., to be published.
T. Do-Duy, D. V. Huynh, O. A. Dobre, B. Canberk, and T. Q. Duong, “Digital twin-aided intelligent offloading with edge selection in mobile edge computing,” IEEE Wireless Commun. Lett., vol. 11, no. 4, pp. 806–810, Apr. 2022.
R. Dong, C. She, W. Hardjawana, Y. Li, and B. Vucetic, “Deep learning for hybrid 5G services in mobile edge computing systems: Learn from a digital twin,” IEEE Trans. Wireless Commun., vol. 18, no. 10, pp. 4692–4707, Oct. 2019.
M. S. Elbamby et al., “Wireless edge computing with latency and reliability guarantees,” Proc. IEEE, vol. 107, no. 8, pp. 1717–1737, Aug. 2019.
L. Chen, C. Shen, P. Zhou, and J. Xu, “Collaborative service placement for edge computing in dense small cell networks,” IEEE Trans. Mobile Comput., vol. 20, no. 2, pp. 377–390, Feb. 2021.
Z. Ning et al., “Distributed and dynamic service placement in pervasive edge computing networks,” IEEE Trans. Parallel Distrib. Syst., vol. 32, no. 6, pp. 1277–1292, Jun. 2021.
H. Ma, Z. Zhou, and X. Chen, “Leveraging the power of prediction: Predictive service placement for latency-sensitive mobile edge computing,” IEEE Trans. Wireless Commun., vol. 19, no. 10, pp. 6454–6468, Oct. 2020.
F. Liu et al., “Integrated sensing and communications: Toward dual-functional wireless networks for 6G and beyond,” IEEE J. Sel. Areas Commun., vol. 40, no. 6, pp. 1728–1767, Jun. 2022.
S. Lu et al., “Integrated sensing and communications: Recent advances and ten open challenges,” IEEE Internet Things J., vol. 11, no. 11, pp. 19094–19120, Jun. 2024.
K. Meng et al., “UAV-enabled integrated sensing and communication: Opportunities and challenges,” IEEE Wireless Commun. Mag., vol. 31, no. 2, pp. 97–104, Apr. 2024.
Y. Cui, F. Liu, X. Jing, and J. Mu, “Integrating sensing and communications for ubiquitous IoT: Applications, trends, and challenges,” IEEE Netw., vol. 35, no. 5, pp. 158–167, Sep./Oct. 2021.
D. V. Huynh, V.-D. Nguyen, S. R. Khosravirad, K. Wang, G. K. Karagiannidis, and T. Q. Duong, “Distributed communication and computation resource management for digital twin-aided edge computing with short-packet communications,” IEEE J. Sel. Areas Commun., vol. 41, no. 10, pp. 3008–3021, Oct. 2023.
M. Li, C. Chen, H. Wu, X. Guan, and X. S. Shen, “Edge-assisted spectrum sharing for freshness-aware industrial wireless networks: A learning-based approach,” IEEE Trans. Wireless Commun., vol. 21, no. 9, pp. 7737–7752, Sep. 2022.
Y. Lin, Y. Zhang, J. Li, F. Shu, and C. Li, “Popularity-aware online task offloading for heterogeneous vehicular edge computing using contextual clustering of bandits,” IEEE Internet Things J., vol. 9, no. 7, pp. 5422–5433, Apr. 2022.
N. Huang, C. Dou, Y. Wu, L. Qian, and R. Lu, “Energy-efficient integrated sensing and communication: A multi-access edge computing design,” IEEE Wireless Commun. Lett., vol. 12, no. 12, pp. 2053–2057, Dec. 2023.
N. Huang, T. Wang, Y. Wu, Q. Wu, and T. Q. S. Quek, “Integrated sensing and communication assisted mobile edge computing: An energy-efficient design via intelligent reflecting surface,” IEEE Wireless Commun. Lett., vol. 11, no. 10, pp. 2085–2089, Oct. 2022.
N. Huang et al., “Mobile edge computing aided integrated sensing and communication with short-packet transmissions,” IEEE Trans. Wireless Commun., early access, Dec. 27, 2023, doi: 10.1109/TWC.2023.3344479.
A. R. Chiriyath, B. Paul, G. M. Jacyna, and D. W. Bliss, “Inner bounds on performance of radar and communications co-existence,” IEEE Trans. Signal Process., vol. 64, no. 2, pp. 464–474, Jan. 2016.
C. She, C. Yang, and T. Q. S. Quek, “Radio resource management for ultra-reliable and low-latency communications,” IEEE Commun. Mag., vol. 55, no. 6, pp. 72–78, Jun. 2017.
R. Lin et al., “Distributed optimization for computation offloading in edge computing,” IEEE Trans. Wireless Commun., vol. 19, no. 12, pp. 8179–8194, Dec. 2020.
A. Ben-Tal and A. Nemirovski, Lectures on Modern Convex Optimization (MPS-SIAM Series on Optimization). Philadelphia, PA, USA: SIAM, 2001.
Y. T. Hou, Y. Shi, and H. D. Sherali, Applied Optimization Methods for Wireless Networks. Cambridge, U.K.: Cambridge Univ. Press, 2014.
H. Lee and Y.-C. Ko, “Physical layer enhancements for ultra-reliable low-latency communications in 5G new radio systems,” IEEE Commun. Stand. Mag., vol. 5, no. 4, pp. 112–122, Dec. 2021.
“Study on scenarios and requirements for next generation access technologies,” 3GPP, Sophia Antipolis, France, Rep. (TR) 38.913, Version 15.0.0, 2018.
C.-F. Liu, M. Bennis, M. Debbah, and H. V. Poor, “Dynamic task offloading and resource allocation for ultra-reliable low-latency edge computing,” IEEE Trans. Commun., vol. 67, no. 6, pp. 4132–4150, Jun. 2019.
V.-D. Nguyen, H. D. Tuan, T. Q. Duong, H. V. Poor, and O.-S. Shin, “Precoder design for signal superposition in MIMO-NOMA multicell networks,” IEEE J. Sel. Areas Commun., vol. 35, no. 12, pp. 2681–2695, Dec. 2017.