Interference Management in UAV-Assisted Integrated Access and Backhaul Cellular Networks

被引:45
|
作者
Fouda, Abdurrahman [1 ]
Ibrahim, Ahmed S. [1 ]
Guvenc, Ismail [2 ]
Ghosh, Monisha [3 ]
机构
[1] Florida Int Univ, Dept Elect & Comp Engn, Miami, FL 33174 USA
[2] North Carolina State Univ, Dept Elect & Comp Engn, Raleigh, NC 27606 USA
[3] Univ Chicago, Dept Comp Sci, Chicago, IL 60637 USA
来源
IEEE ACCESS | 2019年 / 7卷
基金
美国国家科学基金会;
关键词
3D localization; downlink; drone; drone antenna array (DAA); in-band; integrated access and backhaul (IAB); optimization; UAV; AERIAL VEHICLES; BASE STATION; SYSTEMS; 5G; CONNECTIVITY; COVERAGE;
D O I
10.1109/ACCESS.2019.2927176
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An integrated access and backhaul (IAB) network architecture can enable flexible and fast deployment of the next-generation cellular networks. However, mutual interference between access and backhaul links, small inter-site distance, and spatial dynamics of user distribution pose major challenges in the practical deployment of the IAB networks. To tackle these problems, we leverage the flying capabilities of unmanned aerial vehicles (UAVs) as hovering IAB-nodes and propose an interference management algorithm to maximize the overall sum rate of the IAB network. In particular, we jointly optimize the user and base station associations, the downlink power allocations for access and backhaul transmissions, and the spatial configurations of the UAVs. We consider two spatial configuration modes of the UAVs, distributed UAVs and drone antenna array (DAA), and show how they are intertwined with the spatial distribution of ground users. Our numerical results show that the proposed algorithm achieves an average of 2.9 x and 6.7 x gains in the received downlink signal-to-interference-plus-noise ratio (SINR) and overall network sum rate, respectively. Finally, the numerical results reveal that UAVs can not only be used for coverage improvement but also for capacity boosting in the IAB cellular networks.
引用
收藏
页码:104553 / 104566
页数:14
相关论文
共 50 条
  • [21] UAV Offloading: Spectrum Trading Contract Design for UAV-Assisted Cellular Networks
    Hu, Zhiwen
    Zheng, Zijie
    Song, Lingyang
    Wang, Tao
    Li, Xiaoming
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2018, 17 (09) : 6093 - 6107
  • [22] Free Space Optical Communication on UAV-Assisted Backhaul Networks: Optimization for Service Time
    Lee, Ju-Hyung
    Park, Ki-Hong
    Alouini, Mohamed-Slim
    Ko, Young-Chai
    2019 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2019,
  • [23] Power Control and Trajectory Planning Based Interference Management for UAV-Assisted Wireless Sensor Networks
    Zhang, Shuo
    Shi, Shuo
    Gu, Shushi
    Gu, Xuemai
    IEEE ACCESS, 2020, 8 : 3453 - 3464
  • [24] Deep-Reinforcement-Learning-Based Placement for Integrated Access Backhauling in UAV-Assisted Wireless Networks
    Wang, Yuhui
    Farooq, Junaid
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (08): : 14727 - 14738
  • [25] Throughput Analysis of UAV-assisted IAB Cellular Networks with Heterogeneous Traffic
    Zhang, Yue
    Shan, Hangguan
    Song, Meiyan
    Yang, Howard H.
    Zhang, Qi
    He, Xianhua
    2022 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2022, : 902 - 907
  • [26] Modeling and Performance Analysis of UAV-Assisted Cellular Networks in Isolated Regions
    Wang, Xianling
    Zhang, Haijun
    Leung, Victor C. M.
    2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2018,
  • [27] Simultaneous Information and Energy Transfer in mmWave UAV-assisted Cellular Networks
    Wang, Xueyuan
    Gursoy, M. Cenk
    2019 IEEE 20TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC 2019), 2019,
  • [28] Resource management in UAV-assisted wireless networks: An optimization perspective
    Masroor, Rooha
    Naeem, Muhammad
    Ejaz, Waleed
    AD HOC NETWORKS, 2021, 121
  • [29] Rooftop Relay Nodes to Enhance URLLC in UAV-Assisted Cellular Networks
    Jayaraman, Jayavathi
    Balu, Vishvanth Raja
    Bregni, Stefano
    Scazzoli, Davide
    Magarini, Maurizio
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022, : 733 - 738
  • [30] Mobility Dependent Hybrid RF/FSO Backhaul in UAV Assisted Cellular Networks
    Usman, Muhammad
    Althunibat, Saud
    Qaraqe, Khalid
    2020 IEEE 25TH INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (CAMAD), 2020,