Advanced Frequency Resource Allocation for Industrial Wireless Control in 6G subnetworks

被引:3
|
作者
Li, Dong [1 ]
Khosravirad, Saeed R. [2 ]
Tao, Tao [1 ]
Baracca, Paolo [3 ]
机构
[1] Nokia Bell Labs, Shanghai, Peoples R China
[2] Nokia Bell Labs, Murray Hill, NJ USA
[3] Nokia Stand, Munich, Germany
关键词
6G; subnetworks; resource allocation; industrial wireless control; CHANNEL ASSIGNMENT;
D O I
10.1109/WCNC55385.2023.10118695
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The concept of in-X subnetworks has been recently proposed to meet extreme communication requirements such as sub-millisecond latency and up to 9 nines reliability in 6(th) generation (6G) networks. On the other hand, many open challenges have already been recognized for this new concept, from air interface design to interference management in dense and dynamic scenarios. In this paper, we focus on subnetworks for industrial wireless control applications and propose an advanced frequency resource allocation scheme, denoted as sequential iterative subband allocation (SISA), which is designed to minimize the sum interference-to-signal ratio over all subnetwork links. Through extensive system level simulations, we evaluate the benefits of the proposed SISA scheme and compare it with the state-of-the-art. Numerical results show that SISA with interference weighting strongly outperforms a greedy distributed scheme, by reducing by half the frequency resources needed to enable 99.9% of all the subnetwork link instances to achieve reliability of 6 nines.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Toward User-Centric Resource Allocation for 6G: An Economic Perspective
    Chen, Jiacheng
    Qian, Bo
    Xu, Yunting
    Zhou, Haibo
    Shen, Xuemin
    IEEE NETWORK, 2023, 37 (02): : 254 - 261
  • [32] Sum Rate Maximization for 6G IoT Resource Allocation: A Matching Approach
    Qin, Peng
    Zhu, Yiying
    Zhao, Xiongwen
    Liu, Jiayan
    COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, VOL. 1, 2022, 878 : 86 - 100
  • [33] Toward Tailored Resource Allocation of Slices in 6G Networks With Softwarization and Virtualization
    Cao, Haotong
    Du, Jianbo
    Zhao, Haitao
    Luo, Daniel Xiapu
    Kumar, Neeraj
    Yang, Longxiang
    Yu, F. Richard
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (09): : 6623 - 6637
  • [34] Extreme Communication in 6G: Vision and Challenges for 'in-X' Subnetworks
    Berardinelli, Gilberto
    Baracca, Paolo
    Adeogun, Ramoni O.
    Khosravirad, Saeed R.
    Schaich, Frank
    Upadhya, Karthik
    Li, Dong
    Tao, Tao
    Viswanathan, Harish
    Mogensen, Preben
    IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2021, 2 : 2516 - 2535
  • [35] Distributed Channel Allocation for Mobile 6G Subnetworks via Multi-Agent Deep Q-Learning
    Adeogun, Ramoni
    Berardinelli, Gilberto
    2023 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC, 2023,
  • [36] Joint Resource Allocation, Task Processing, and Trajectory Design for UAV-assisted Industrial IoT Users in 6G Networks
    Mohammadisarab, Amir
    Khalili, Ata
    Nouruzi, Ali
    Mokari, Nader
    Arand, Bijan Abbasi
    Jorswieck, Eduard A.
    2022 IEEE CONFERENCE ON STANDARDS FOR COMMUNICATIONS AND NETWORKING, CSCN, 2022, : 71 - 77
  • [37] Resilient Disaster Relief in Industrial IoT: UAV Trajectory Design and Resource Allocation in 6G Non-Terrestrial Networks
    Mohammadisarab, Amir
    Nouruzi, Ali
    Khalili, Ata
    Mokari, Nader
    Arand, Bijan Abbasi
    Jorswieck, Eduard A.
    IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2024, 5 : 1827 - 1845
  • [38] Wireless technologies towards 6G
    Campos, Rui
    Ricardo, Manuel
    Pouttu, Ari
    Correia, Luis M.
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2023, 2023 (01)
  • [39] Wireless technologies towards 6G
    Rui Campos
    Manuel Ricardo
    Ari Pouttu
    Luis M. Correia
    EURASIP Journal on Wireless Communications and Networking, 2023
  • [40] Wireless Multimodal Communications for 6G
    Ren C.
    Ding S.
    Zhang X.
    Zhang H.
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2024, 46 (05): : 1658 - 1671