Service-Aware Resource Allocation Design of UAV RAN Slicing

被引：0

作者：

Cho, Jun-Woo ^{[1
]}

Yang, Peng ^{[2
]}

Quek, Tony Q. S. ^{[2
]}

Kim, Jae-Hyun ^{[3
]}

机构：

[1] Ajou Univ, Dept Artificial Intelligence Convergence Network, Suwon, South Korea

[2] Singapore Univ Technol & Design, Informat Syst Technol & Design, Singapore 487372, Singapore

[3] Ajou Univ, Dept Elect & Comp Engn, Suwon, South Korea

来源：

11TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE: DATA, NETWORK, AND AI IN THE AGE OF UNTACT (ICTC 2020) | 2020年

关键词：

Resource allocation; UAV; 5G; Network slicing; RAN slicing;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Unmanned Aerial Vehicles (UAVs) can be used in a radio access network (RAN) to expand communication range and connectivity and support innovative services in the 5G ecosystem. In such systems, UAV RAN slicing can be applied in terms of network slicing to meet the quality of service (QoS) requirements. In this paper, we propose a resource allocation algorithm for UAV RAN slicing based on the 5G frame structure when system bandwidth is limited. Our proposed algorithm selects a type of slot to satisfy service type and to improve resource efficiency. Performance results show that each slice is satisfied with the required QoS.

引用

页码：801 / 805

页数：5

共 50 条

[31] Energy-Efficient Deep Reinforcement Learning Assisted Resource Allocation for 5G-RAN Slicing [J].

Azimi, Yaser ;

Yousefi, Saleh ;

Kalbkhani, Hashem ;

Kunz, Thomas .

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (01) :856-871

[32] Dynamic User Count Aware Resource Allocation for Network Slicing in Virtualized Radio Access Networks [J].

Canpolat, Ceren ;

Schmidt, Ece Guran .

2020 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC), 2020, :102-107

[33] Intent-Aware Radio Resource Scheduling in a RAN Slicing Scenario Using Reinforcement Learning [J].

Nahum, Cleverson Veloso ;

Lopes, Victor Hugo L. ;

Dreifuerst, Ryan M. ;

Batista, Pedro ;

Correa, Ilan ;

Cardoso, Kleber Vieira ;

Klautau, Aldebaro ;

Heath Jr, Robert W. .

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (03) :2253-2267

[34] Online Auction-Based Resource Allocation for Service-Oriented Network Slicing [J].

Liang, Liang ;

Wu, Yanfei ;

Feng, Gang ;

Jian, Xin ;

Jia, Yunjian .

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (08) :8063-8074

[35] Towards green machine learning for resource allocation in beyond 5G RAN slicing [J].

Oliveira, Afonso ;

Vazao, Teresa .

COMPUTER NETWORKS, 2023, 233

[36] Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios [J].

Chen G. ;

Xing Z. ;

Shen F. ;

Zeng Q. .

Tongxin Xuebao/Journal on Communications, 2024, 45 (02) :173-187

[37] Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing [J].

Rezazadeh, Farhad ;

Chergui, Hatim ;

Siddiqui, Shuaib ;

Mangues, Josep ;

Song, Houbing ;

Saad, Walid ;

Bennis, Mehdi .

IEEE WIRELESS COMMUNICATIONS, 2024, 31 (05) :192-199

[38] Feedback Control for QoS-Aware Radio Resource Allocation in Adaptive RAN [J].

Hirayama, Haruhisa ;

Tsukamoto, Yu ;

Shinbo, Hiroyuki .

IEEE ACCESS, 2022, 10 :21563-21573

[39] Actor Critic Based Reinforcement Learning for Joint Resource Allocation and Throughput Maximization in 5G RAN Slicing [J].

Kulkarni, Dhanashree ;

Venkatesan, Mithra ;

Kulkarni, Anju V. .

WIRELESS PERSONAL COMMUNICATIONS, 2024, 138 (01) :623-640

[40] Distributed Resource Allocation for Network Slicing of Bandwidth and Computational Resource [J].

Huang, Anqi ;

Li, Yingyu ;

Xiao, Yong ;

Ge, Xiaohu ;

Sun, Sumei ;

Chao, Han-Chieh .

ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2020,

← 1 2 3 4 5 →