Backscatter Communications; Non-orthogonal Multiple Access; Automotive industry 5.0
Résumé :
[en] Automotive-Industry 5.0 will use emerging 6G communications to provide robust, computationally intelligent, and energy-efficient data sharing among various onboard sensors, vehicles, and other intelligent transportation system entities. Nonorthogonal multiple access (NOMA) and backscatter communications are two key techniques of 6G communications for enhanced spectrum and energy efficiency. In this article, we provide an introduction to green transportation and also discuss the advantages of using backscatter communications and NOMA in Automotive Industry 5.0. We also briefly review the recent work in the area of NOMA empowered backscatter communications. We discuss different use cases of backscatter communications in NOMA-enabled 6G vehicular networks. We also propose a multicell optimization framework to maximize the energy efficiency of the backscatter-enabled NOMA vehicular network. In particular, we jointly optimize the transmit power of the roadside unit and the reflection coefficient of the backscatter device in each cell, where several practical constraints are also taken into account. The problem of energy efficiency is formulated as nonconvex, which is hard to solve directly. Thus, first, we adopt the Dinkelbach method to transform the objective function into a subtractive one, then we decouple the problem into two subproblems. Second, we employ dual theory and KKT conditions to obtain efficient solutions. Finally, we highlight some open issues and future research opportunities related to NOMA-enabled backscatter communications in 6G vehicular networks.
Disciplines :
Ingénierie électrique & électronique
Auteur, co-auteur :
KHAN, Wali Ullah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Ihsan, Asim
Nguyen, Tu N.
Ali, Zain
Awais Javed, Muhammad
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
NOMA-Enabled Backscatter Communications for Green Transportation in Automotive-Industry 5.0
Titre traduit :
[en] NOMA-Enabled Backscatter Communications for Green Transportation in Automotive-Industry 5.0
Date de publication/diffusion :
22 mars 2022
Titre du périodique :
IEEE Transactions on Industrial Informatics
ISSN :
1551-3203
eISSN :
1941-0050
Maison d'édition :
Institute of Electrical and Electronics Engineers, Etats-Unis
A. Villalonga, G. Beruvides, F. Castaño and, and R. E. Haber, "Cloudbased industrial cyber-physical system for data-driven reasoning:Areview and use case on an industry 4.0 pilot line," IEEE Trans. Ind. Informat., vol. 16, no. 9, pp. 5975-5984, Sep. 2020.
M. S. Bhatia and S. Kumar, "Critical success factors of industry 4.0 in automotive manufacturing industry," IEEE Trans. Eng. Manag., to be published, doi: 10.1109/TEM.2020.3017004.
U. M. Malik, M. A. Javed, S. Zeadally, and S. U. Islam, "Energy efficient fog computing for 6G enabled massive IoT: Recent trends and future opportunities," IEEE Internet Things J., to be published, doi: 10.1109/JIOT.2021.3068056.
R. S. Peres,X. Jia, J. Lee, K. Sun, A.W. Colombo, and J.Barata, "Industrial artificial intelligence in industry 4.0-Systematic review, challenges and outlook," IEEE Access, vol. 8, pp. 220121-220139, 2020.
M. Aazam, S. Zeadally, and K. A. Harras, "Deploying fog computing in industrial Internet of Things and Industry 4.0," IEEE Trans. Ind. Informat., vol. 14, no. 10, pp. 4674-4682, Oct. 2018.
R. Mahmud, A. N. Toosi, K. Ramamohanarao, and R. Buyya, "Contextaware placement of industry 4.0 applications in fog computing environments," IEEE Trans. Ind. Informat., vol. 16, no. 11, pp. 7004-7013, Nov. 2020.
Y. Qu, S. R. Pokhrel, S. Garg, L. Gao, and Y. Xiang, "A blockchained federated learning framework for cognitive computing in industry 4.0 networks," IEEE Trans. Ind. Informat., vol. 17, no. 4, pp. 2964-2973, Apr. 2021.
W. U. Khan, F. Jameel, N. Kumar, R. Jäntti, andM. Guizani, "Backscatterenabled efficient V2X communication with non-orthogonal multiple access," IEEE Trans. Veh. Technol., vol. 70, no. 2, pp. 1724-1735, Feb. 2021.
M. Gundall, et al., "Introduction of a 5G-enabled architecture for the realization of industry 4.0 use cases," IEEE Access, vol. 9, pp. 25508-25521, 2021.
M. C. Lucas-Estañ, B. Coll-Perales, and J. Gozalvez, "Redundancy and diversity in wireless networks to support mobile industrial applications in industry 4.0," IEEE Trans. Ind. Informat., vol. 17, no. 1, pp. 311-320, Jan. 2021.
H. H. R. Sherazi, L. A. Grieco, M. A. Imran, and G. Boggia, "Energyefficient LoRaWAN for industry 4.0 applications," IEEE Trans. Ind. Informat., vol. 17, no. 2, pp. 891-902, Feb. 2021.
Y.Wu, B. Shi, L. P. Qian, F. Hou, J. Cai, and X. S. Shen, "Energy-efficient multi-task multi-access computation offloading via NOMA transmission for IoTs," IEEE Trans. Ind. Informat., vol. 16, no. 7, pp. 4811-4822, Jul. 2020.
N. Van Huynh, D. T. Hoang, X. Lu, D. Niyato, P. Wang, and D. I. Kim, "Ambient backscatter communications: A contemporary survey," IEEE Commun. Surv. Tut., vol. 20, no. 4, pp. 2889-2922, Oct.-Dec. 2018.
W. U. Khan, F. Jameel, T. Ristaniemi, S. Khan, G. A. S. Sidhu, and J. Liu, "Joint spectral and energy efficiency optimization for downlink NOMA networks," IEEE Trans. Cogn. Commun. Netw., vol. 6, no. 2, pp. 645-656, Jun. 2020.
F. Zhang, M. M. Wang, X. Bao, and W. Liu, "Centralized resource allocation and distributed power control for NOMA-integrated NR V2X," IEEE Internet Things J., vol. 8, no. 22, pp. 16522-16534, Nov. 2021.
X. Li, M. Zhao, Y. Liu, L. Li, Z. Ding, and A. Nallanathan, "Secrecy analysis of ambient backscatter NOMA systems under I/Q imbalance," IEEE Trans. Veh. Technol., vol. 69, no. 10, pp. 12286-12290, Oct. 2020.
Q. Zhang, L. Zhang, Y.-C. Liang, and P.-Y. Kam, "Backscatter-NOMA: A symbiotic system of cellular and Internet-of-Things networks," IEEE Access, vol. 7, pp. 20000-20013, 2019.
X. Li et al., "Hardware impaired ambient backscatter NOMA systems: Reliability and security," IEEE Trans. Commun., vol. 69, no. 4, pp. 2723-2736, Apr. 2021.
C.-B. Le and D.-T. Do, "Outage performance of backscatter NOMA relaying systems equipping with multiple antennas," Electron. Lett., vol. 55, no. 19, pp. 1066-1067, Jul. 2019.
W. U. Khan, X. Li, M. Zeng, and O. A. Dobre, "Backscatter-enabled NOMA for future 6G systems: A new optimization framework under imperfect SIC," IEEE Commun. Lett., vol. 25, no. 5, pp. 1669-1672, May 2021.
Y. Xu, Z. Qin, G. Gui, H. Gacanin, H. Sari, and F. Adachi, "Energy efficiency maximization inNOMAenabled backscatter communications with QoSguarantee," IEEEWirelessCommun. Lett., vol. 10, no. 2, pp. 353-357, Feb. 2021.
W. U. Khan, J. Liu, F. Jameel, M. T. R. Khan, S. H. Ahmed, and R. Jäntti, "Secure backscatter communications in multi-cell NOMA networks: Enabling link security for massive IoT networks," in Proc. IEEE Conf. Comput. Commun. Workshops, 2020, pp. 213-218.
G. Yang, X. Xu, and Y. Liang, "Resource allocation in NOMA-enhanced backscatter communication networks for wireless powered IoT," IEEE Wireless Commun. Lett., vol. 9, no. 1, pp. 117-120, Jan. 2020.
W. Chen, H. Ding, S.Wang, D. B. da Costa, F. Gong, and P. H. J. Nardelli, "Ambient backscatter communications over NOMA downlink channels," China Commun., vol. 17, no. 6, pp. 80-100, Jun. 2020.
Y. Liao, G. Yang, and Y.-C. Liang, "Resource allocation in NOMAenhanced full-duplex symbiotic radio networks," IEEE Access, vol. 8, pp. 22709-22720, 2020.
M. Barth and K. Boriboonsomsin, "Real-world carbon dioxide impacts of traffic congestion," Transp. Res. Rec., vol. 2058, no. 1, pp. 163-171, 2008.
F. Jameel, S. Zeb, W. U. Khan, S. A. Hassan, Z. Chang, and J. Liu, "NOMA-enabled backscatter communications: Toward battery-free IoT networks," IEEE Internet Things Mag., vol. 3, no. 4, pp. 95-101, Dec. 2020.
D. K. Patel et al., "Performance analysis of NOMA in vehicular communications over i.n.i.d Nakagami-m fading channels," IEEE Trans.Wireless Comm., vol. 20, no. 10, pp. 6254-6268, Oct. 2021.
W. U. Khan, J.Liu, F. Jameel,V. Sharma,R. Jäntti, andZ.Han, "Spectral efficiency optimization for next generation NOMA-enabled IoT networks," IEEE Trans. Veh. Technol., vol. 69, no. 12, pp. 15284-15297, Dec. 2020.
F. Pereira et al., "When backscatter communication meets vehicular networks: Boosting crosswalk awareness," IEEE Access, vol. 8, pp. 34507-34521, 2020.
B.Wang, R. Zhang, C. Chen, X. Cheng, L. Yang, and Y. Jin, "Interference hypergraph-based 3D matching resource allocation protocol for NOMAV2X networks," IEEE Access, vol. 7, pp. 90789-90800, 2019.
F. Jameel, Z. Chang, J. Huang, and T. Ristaniemi, "Internet of autonomous vehicles: Architecture, features, and socio-technological challenges," IEEE Wireless Commun., vol. 26, no. 4, pp. 21-29, Aug. 2019.
O. Abbasi, H. Yanikomeroglu, A. Ebrahimi, N. Mokari, and M. Alzenad, "Dynamic NOMA/OMA for V2X networks with UAV relaying," in Proc. IEEE 92nd Veh. Technol. Conf., 2020, pp. 1-7.
G. Yang, R. Dai, and Y.-C. Liang, "Energy-efficient UAV backscatter communication with joint trajectory design and resource optimization," IEEE Trans. Wireless Commun., vol. 20, no. 2, pp. 926-941, Feb. 2021.
R. Han, L. Bai, Y. Wen, J. Liu, J. Choi, and W. Zhang, "UAV-aided backscatter communications: Performance analysis and trajectory optimization," IEEE J. Sel. Areas Commun., vol. 39, no. 10, pp. 3129-3143, Oct. 2021.
Y. Liu, H. Zhang, K. Long, A. Nallanathan, and V. C. M. Leung, "Energyefficient subchannelmatching and power allocation inNOMAautonomous driving vehicular networks," IEEE Wireless Commun., vol. 26, no. 4, pp. 88-93, Aug. 2019.
