Resource Allocation in an Open RAN System Using Network Slicing

被引:41
|
作者
Motalleb, Mojdeh Karbalaee [1 ]
Shah-Mansouri, Vahid [1 ]
Parsaeefard, Saeedeh [2 ]
Lopez, Onel Luis Alcaraz [3 ]
机构
[1] Univ Tehran, Sch ECE, Tehran 1439957131, Iran
[2] Univ Toronto, Dept Elect Engn, Toronto, ON M5S 3G4, Canada
[3] Univ Oulu, Ctr Wireless Commun, Oulu 90570, Finland
关键词
Resource management; Radio access networks; Ultra reliable low latency communication; Quality of service; Network slicing; Delays; Baseband; Open radio access network (O-RAN); virtual network function (VNF); network slicing; knapsack problem; greedy algorithm; Karush-Kuhn-Tucker (KKT) conditions; RADIO ACCESS NETWORK; 5G;
D O I
10.1109/TNSM.2022.3205415
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The next radio access network (RAN) generation, open RAN (O-RAN), aims to enable more flexibility and openness, including efficient service slicing, and to lower the operational costs in 5G and beyond wireless networks. Nevertheless, strictly satisfying quality-of-service requirements while establishing priorities and promoting balance between the significantly heterogeneous services remains a key research problem. In this paper, we use network slicing to study the service-aware baseband resource allocation and virtual network function (VNF) activation in O-RAN systems. The limited fronthaul capacity and end-to-end delay constraints are simultaneously considered. Optimizing baseband resources includes O-RAN radio unit (O-RU), physical resource block (PRB) assignment, and power allocation. The main problem is a mixed-integer non-linear programming problem that is non-trivial to solve. Consequently, we break it down into two different steps and propose an iterative algorithm that finds a near-optimal solution. In the first step, we reformulate and simplify the problem to find the power allocation, PRB assignment, and the number of VNFs. In the second step, the O-RU association is resolved. The proposed method is validated via simulations, which achieve a higher data rate and lower end-to-end delay than existing methods.
引用
收藏
页码:471 / 485
页数:15
相关论文
共 50 条
  • [1] Slicing the Edge: Resource Allocation for RAN Network Slicing
    Phuong Luu Vo
    Minh N H Nguyen
    Nan Anh Le
    Nguyen H Tran
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2018, 7 (06) : 970 - 973
  • [2] Efficient Resource Allocation Framework for Network Slicing-enabled Open RAN
    Truong, Tuan-Vu
    Luu, Quang-Trung
    Nguyen, Van-Dinh
    2024 IEEE TENTH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND ELECTRONICS, ICCE 2024, 2024, : 747 - 752
  • [3] Resource Allocation for Network Slicing in RAN Using Case-Based Reasoning
    Yan, Dandan
    Yang, Xu
    Cuthbert, Laurie
    APPLIED SCIENCES-BASEL, 2023, 13 (01):
  • [4] Radio Resource Allocation for RAN Slicing in Mobile Networks
    Zhou, Liushan
    Zhang, Tiankui
    Li, Jing
    Zhu, Yutao
    2020 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2020, : 1280 - 1285
  • [5] Enforcing Resource Allocation and VNF Embedding in RAN Slicing
    Ambarani, Kashyab J.
    Sharma, Shivansh
    Komarabattini, Shravan
    Thai, My T.
    Nguyen, Tu N.
    2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2021,
  • [6] Optimizing Resource Allocation and VNF Embedding in RAN Slicing
    Nguyen, Tu N.
    Le, Thinh V.
    Nguyen, Manh V.
    Nguyen, Hoa N.
    Vu, Son
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2024, 21 (02): : 2187 - 2199
  • [7] Learning for Intelligent Hybrid Resource Allocation in MEC-Assisted RAN Slicing Network
    Zheng, Chong
    Huang, Yongming
    Zhang, Cheng
    Quek, Tony Q. S.
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (09) : 13694 - 13709
  • [8] Heterogeneous RAN slicing resource allocation using mathematical program with equilibrium constraints
    Ma, Tengteng
    Zhang, Yong
    Han, Zhu
    Li, Chen
    IET COMMUNICATIONS, 2022, 16 (15) : 1772 - 1786
  • [9] Cognitive RAN Slicing Resource Allocation Based on Stackelberg Game
    Tengteng Ma
    Yong Zhang
    Siyu Yuan
    Zhenjie Cheng
    ChinaCommunications, 2022, 19 (05) : 12 - 23
  • [10] Hierarchical Reinforcement Learning Based Resource Allocation for RAN Slicing
    Anil Akyildiz, Hasan
    Faruk Gemici, Omer
    Hokelek, Ibrahim
    Ali Cirpan, Hakan
    IEEE ACCESS, 2024, 12 : 75818 - 75831