A Unified Framework for 6G Cross-Scenario Resource Representation and Scheduling

被引:0
|
作者
Li, Jingli [1 ]
Li, Changle [1 ]
Yue, Wenwei [1 ]
Cheng, Nan [1 ]
Sha, Zifan [1 ]
Tian, Mengqiu [1 ]
机构
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
基金
国家重点研发计划;
关键词
WIRELESS NETWORKS; JOINT;
D O I
10.1109/WCNC55385.2023.10118644
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The fifth-generation network (5G) has made great progress. With the continuous development of communication technology, by analyzing the characteristics of 5G scenarios, the sixth-generation network (6G) technology combined with multiple scenarios provides effective solutions for the implementation of emerging services with stringent requirements. It is worth noting that the vigorous development of emerging services has been weakened due to the limited resources provided by a single scenario, cross-scenario technologies are urgently needed to enable emerging services in the 6G stage. However, most of the existing work only focuses on a single scenario, which leads to emerging services with complex requirements still difficult to achieve in practice. Therefore, we propose an efficient representation and scheduling framework to achieve the unification of cross-scenario resources, aiming to solve the problem of resource scheduling in cross-scenario. In the above framework, first of all, considering the strict resource requirements of emerging services, we establish a unified resource representation model based on the Time-Expanded Graph (TEG). Secondly, to maximize resource utilization, based on the representation model, a cross-scenario resource scheduling model is proposed. Then, considering the complexity of solving the scheduling model, a resource utilization maximization strategy is presented through the primal decomposition. Simulation results show that the unified framework can effectively improve resource allocation efficiency in complex 6G scenarios.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Co-Scheduling of Radio and Computing Resources for Resource-Efficient Latency Guarantee in 6G
    Jin, Sunghyun
    Kim, Serae
    Lee, Kyunghan
    2023 IEEE 12TH INTERNATIONAL CONFERENCE ON CLOUD NETWORKING, CLOUDNET, 2023, : 472 - 476
  • [22] Brazil 6G Project - An Approach to Build a National-wise Framework for 6G Networks
    Brito, Jose Marcos C.
    Mendes, Luciano Leonel
    Sampaio Gontijo, Jose Gustavo
    2020 2ND 6G WIRELESS SUMMIT (6G SUMMIT), 2020,
  • [23] An Open Unified Addressing System for 6G Communication Networks
    Li, Guanwen
    Lou, David
    Galis, Alex
    Yang, Jinze
    Wang, Chuang
    Jiang, Sheng
    Chen, Zhe
    Tong, Xing
    2022 IEEE FUTURE NETWORKS WORLD FORUM, FNWF, 2022, : 147 - 152
  • [24] Unified Aviation Maintenance Ecosystem on the Basis of 6G Technology
    Kabashkin, Igor
    ELECTRONICS, 2024, 13 (19)
  • [25] Coordinated Beamforming, Interference-Aware Power Control, and Scheduling Framework for 6G Wireless Networks
    Kim, Yongjae
    Jung, Bang Chul
    Han, Youngnam
    JOURNAL OF COMMUNICATIONS AND NETWORKS, 2022, 24 (03) : 292 - 304
  • [26] Intelligent Decision Making Framework for 6G Network
    Zheng Hu
    Ping Zhang
    Chunhong Zhang
    Benhui Zhuang
    Jianhua Zhang
    Shangjing Lin
    Tao Sun
    ChinaCommunications, 2022, 19 (03) : 16 - 35
  • [27] Seamless and Intelligent Resource Allocation in 6G Maritime Networks Framework via Deep Reinforcement Learning
    Hassan, Sheikh Salman
    Park, Seong-Bae
    Huh, Eui-Nam
    Hong, Choong Seon
    2023 INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING, ICOIN, 2023, : 505 - 510
  • [28] A Novel 6G Conversational Orchestration Framework for Enhancing Performance and Resource Utilization in Autonomous Vehicle Networks
    Shahzadi, Sonia
    Chaudhry, Nauman Riaz
    Iqbal, Muddesar
    SENSORS, 2023, 23 (17)
  • [29] BEGINNING OF THE JOURNEY TOWARD 6G: VISION AND FRAMEWORK
    Liu, Ruiqi
    Lin, Hui
    Lee, Hyunjoong
    Chaves, Fabiano
    Lim, Hanna
    Skold, Johan
    IEEE COMMUNICATIONS MAGAZINE, 2023, 61 (10) : 8 - 9
  • [30] EdgeGO: A Mobile Resource-Sharing Framework for 6G Edge Computing in Massive IoT Systems
    Cong, Rong
    Zhao, Zhiwei
    Min, Geyong
    Feng, Chenyuan
    Jiang, Yuhong
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (16) : 14521 - 14529