Is Direct Sequence Spread Spectrum Modulation Promising for AI-Based Design of 6G Networks?

被引:0
|
作者
Todorovic, Branislav M. [1 ]
Stojanovic, Nenad M. [2 ]
Velikic, Gordana S. [3 ]
机构
[1] Inst Artificial Intelligence, Belgrade, Serbia
[2] Mil Acad, Belgrade, Serbia
[3] ORTO MD, Novi Sad, Serbia
关键词
6G mobile communication; Modulation; Artificial intelligence; Interference; Bandwidth; Wireless communication; Security; Internet of Things;
D O I
10.1109/MCE.2024.3349458
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Prospective sixth generation (6G) mobile cellular networks aim to connect everything through the Internet of Thing (IoT) concept. 6G is expected to provide unprecedented data rates, ultrareliable low latency, and extensive device connectivity. Artificial intelligence (AI) will play a vital role in optimizing 6G networks by enabling dynamic spectrum allocation, intelligent resource management, and network optimization. This will create intelligent networks that can adapt, learn, and evolve.
引用
收藏
页码:7 / 10
页数:4
相关论文
共 50 条
  • [1] AI-based computer vision using deep learning in 6G wireless networks
    Kamruzzaman, M. M.
    Alruwaili, Omar
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2022, 102
  • [2] AI-Based Radio Resource Allocation in Support of the Massive Heterogeneity of 6G Networks
    Alwarafy, Abdulmalik
    Albaseer, Abdullatif
    Ciftler, Bekir Sait
    Abdallah, Mohamed
    Al-Fuqaha, Ala
    [J]. 2021 IEEE 4TH 5G WORLD FORUM (5GWF 2021), 2021, : 464 - 469
  • [3] From 5G to 6G Networks: A Survey on AI-Based Jamming and Interference Detection and Mitigation
    Lohan, Poonam
    Kantarci, Burak
    Amine Ferrag, Mohamed
    Tihanyi, Norbert
    Shi, Yi
    [J]. IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2024, 5 : 3920 - 3974
  • [4] Physics and AI-Based Digital Twin of Multi-Spectrum Propagation Characteristics for Communication and Sensing in 6G and Beyond
    He, Danping
    Guan, Ke
    Yan, Dong
    Yi, Haofan
    Zhang, Zhao
    Wang, Xiping
    Zhong, Zhangdui
    Zorba, Nizar
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2023, 41 (10) : 3461 - 3473
  • [5] Physics and AI-Based Digital Twin of Multi-Spectrum Propagation Characteristics for Communication and Sensing in 6G and Beyond
    He, Danping
    Guan, Ke
    Yan, Dong
    Yi, Haofan
    Zhang, Zhao
    Wang, Xiping
    Zhong, Zhangdui
    Zorba, Nizar
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2023, 41 (11) : 3461 - 3473
  • [6] AI-Based Vehicular Network toward 6G and IoT: Deep Learning Approaches
    Chen, Mu-Yen
    Fan, Min-Hsuan
    Huang, Li-Xiang
    [J]. ACM TRANSACTIONS ON MANAGEMENT INFORMATION SYSTEMS, 2022, 13 (01)
  • [7] Integrating Network Digital Twinning into Future AI-based 6G Systems: The 6G-TWIN Vision
    Faye, Sebastien
    Camelo, Miguel
    Sottet, Jean-Sebastien
    Sommer, Christoph
    Franke, Mario
    Baudouin, Julien
    Castellanos, German
    Decorme, Regis
    Fanti, Maria Pia
    Fuladi, Ramin
    Kesik, Gunes
    Mendes, Beatriz
    Murphy, Chris
    Parker, Stephen
    Pryor, Simon
    Senouci, Sidi Mohammed
    Turcanu, Ion
    [J]. 2024 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT, EUCNC/6G SUMMIT 2024, 2024, : 883 - 888
  • [8] AI-Based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach
    Sami, Hani
    Otrok, Hadi
    Bentahar, Jamal
    Mourad, Azzam
    [J]. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2021, 18 (03): : 3527 - 3540
  • [9] AI-Based Joint Optimization of QoS and Security for 6G Energy Harvesting Internet of Things
    Mao, Bomin
    Kawamoto, Yuichi
    Kato, Nei
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (08): : 7032 - 7042
  • [10] A novel Direct Sequence Spread Spectrum wireless modem based on frequency modulation
    Shi, ZL
    Tan, W
    Fattouche, M
    [J]. 1996 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING - CONFERENCE PROCEEDINGS, VOLS I AND II: THEME - GLIMPSE INTO THE 21ST CENTURY, 1996, : 24 - 27