AI-ENABLED NEXT-GENERATION COMMUNICATION NETWORKS: INTELLIGENT AGENT AND AI ROUTER

被引:15
|
作者
Jiang, Chunxiao [1 ]
Ge, Ning [2 ]
Kuang, Linling [3 ]
机构
[1] Tsinghua Univ, Sch Informat Sci & Technol, Beijing, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
[3] Tsinghua Univ, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Intelligent agents; Iterative closest point algorithm; Network architecture; Artificial intelligence; Routing; Communication networks; Next generation networking; CHALLENGES;
D O I
10.1109/MWC.001.2000100
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays, network users' demands for low latency services and individual data security grow rapidly. In this article, we conceive a new communication network architecture based on the concept of intelligent agents. The proposed intelligent agent serves as a virtual secretary of the corresponding user to request desired service from Internet companies or neighboring agents, which can reduce Internet surfing latency and prevent privacy leakage. Moreover, to improve the forwarding efficiency of data packages, a new mixed routing structure and the AI router are also introduced, to support various on-demand services with low latency. Overall, the proposed communication network architecture is expected to be more efficient than the existing one, and inspire readers to deliberate the revolution of future communications networks.
引用
收藏
页码:129 / 133
页数:5
相关论文
共 50 条
  • [21] AI-Enabled Intelligent Visible Light Communications: Challenges, Progress, and Future
    Shi, Jianyang
    Niu, Wenqing
    Ha, Yinaer
    Xu, Zengyi
    Li, Ziwei
    Yu, Shaohua
    Chi, Nan
    [J]. PHOTONICS, 2022, 9 (08)
  • [22] Resource-efficient photonic networks for next-generation AI computing
    Oguz, Ilker
    Yildirim, Mustafa
    Hsieh, Jih-Liang
    Dinc, Niyazi Ulas
    Moser, Christophe
    Psaltis, Demetri
    [J]. Light: Science and Applications, 2025, 14 (01):
  • [23] QoS Provisioning and Resource Block Management in AI-enabled Networks
    Mahmoud, Haitham
    Aneiba, Adel
    He, Ziming
    Asyhari, A. Taufiq
    Mi, De
    [J]. 2024 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC 2024, 2024,
  • [24] Multiple contents offloading mechanism in AI-enabled opportunistic networks
    Chien, Wei-Che
    Huang, Shih-Yun
    Lai, Chin-Feng
    Chao, Han-Chieh
    Hossain, M. Shamim
    Muhammad, Ghulam
    [J]. COMPUTER COMMUNICATIONS, 2020, 155 (155) : 93 - 103
  • [25] Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
    Feriani, Amal
    Hossain, Ekram
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2021, 23 (02): : 1226 - 1252
  • [26] XR and AI: AI-Enabled Virtual, Augmented, and Mixed Reality
    Suzuki, Ryo
    Gonzalez-Franco, Mar
    Sra, Misha
    Lindlbauer, David
    [J]. ADJUNCT PROCEEDINGS OF THE 36TH ANNUAL ACM SYMPOSIUM ON USER INTERFACE SOFTWARE & TECHNOLOGY, UIST 2023 ADJUNCT, 2023,
  • [27] Need an AI-Enabled, Next-Generation, Advanced ChatGPT or Large Language Models (LLMs) for Error-Free and Accurate Medical Information
    Chiranjib Chakraborty
    Manojit Bhattacharya
    Sang-Soo Lee
    [J]. Annals of Biomedical Engineering, 2024, 52 : 134 - 135
  • [28] Need an AI-Enabled, Next-Generation, Advanced ChatGPT or Large Language Models (LLMs) for Error-Free and Accurate Medical Information
    Chakraborty, Chiranjib
    Bhattacharya, Manojit
    Lee, Sang-Soo
    [J]. ANNALS OF BIOMEDICAL ENGINEERING, 2024, 52 (02) : 134 - 135
  • [29] Towards Next-Generation Cybersecurity with Graph AI
    Bowman, Benjamin
    Howie Huang, H.
    [J]. Operating Systems Review (ACM), 2021, 55 (01): : 61 - 67
  • [30] Next-Generation Software Verification: An AI Perspective
    Nejati, Shiva
    [J]. IEEE SOFTWARE, 2021, 38 (03) : 126 - 130