UAV-Assisted 6G Wireless Networks
▶ Introduction
 

The explosive growth of the mobile devices and delay-sensitive application make a burden to the current terrestrial network system. Moreover, there are fewer base stations in the rural and hilly regions; therefore, it is difficult for users to get communication services with a high data rate. It is so impossible to get wireless services for the mobile users in the deep sea and disaster areas where the terrestrial base stations do not exist and already collapse. In those areas, deployment of unmanned aerial vehicles (UAVs) as moving base stations and integrate with the satellites (i.e., LEO and GEO satellites), so called integrated space-air-round networks, become mainstream because of its flexible and low deployment cost.

Fig 1. Space-Air-Ground Integrated Wireless Network.

▶ Research Issues

  There are still several challenging issues which are under unexplored:
  • the optimal deployment of UAVs to get the maximum coverage area and strong wireless signal strength with low co-channel interference.
  • Controlling the trajectory of the UAVs to make sure the safety distance between UAVs and the optimal resources (i.e., bandwidth, and power) allocation to get the maximum data rate by taking into account the energy constraint of the UAVs.
  • Considering the optimal user association with the UAVs to achieve the highest rate.
  • Space-Air-Ground channel modeling.


  • ▶ References

     
    1. Liu, J., Shi, Y., Fadlullah, Z. M., & Kato, N. (2018). Space-air-ground integrated network: A survey. IEEE Communications Surveys & Tutorials, 20(4), 2714-2741.
    2. Zhang, N., Zhang, S., Yang, P., Alhussein, O., Zhuang, W., & Shen, X. S. (2017). Software defined space-air-ground integrated vehicular networks: Challenges and solutions. IEEE Communications Magazine, 55(7), 101-109.
    3. Kato, N., Fadlullah, Z. M., Tang, F., Mao, B., Tani, S., Okamura, A., & Liu, J. (2019). Optimizing space-air-ground integrated networks by artificial intelligence. IEEE Wireless Communications, 26(4), 140-147.
    4. Zhao, B., Liu, P., Wang, X., & You, I. (2019). Toward efficient authentication for space-air-ground integrated Internet of things. International Journal of Distributed Sensor Networks, 15(7), 1550147719860390.


    ▶ Achievements

     
    1. Nway Nway Ei, Chit Wutyee Zaw, Min Kyung Lee and Choong Seon Hong, "Cell Association in Energy-Constrained Unmanned Aerial Vehicle Communications Under Altitude Consideration," The International Conference on Information Networking (ICOIN 2019), Jan. 9-11, 2019, Kuala Lumpur, Malaysia.
    2. Nway Nway Ei, Choong Seon Hong, "Energy-Efficient User Association and Resource Allocation in MEC-Enabled UAV-Assisted Network," 2020년 한국컴퓨터종합학술대회(KCC 2020), 2020.07.02~04.
    3. Aunas Manzoor, Do Hyeon Kim, and Choong Seon Hong, "Energy Efficient Resource Allocation in UAV-based Heterogeneous Networks," The 20th Asia-Pacific Network Operations and Management Symposium(APNOMS 2019), Sep. 18-21, 2019, Matsue, Japan.
    4. Nway Nway Ei, Choong Seon Hong, "User-Association for Sum Rate Maximization in Air-Ground Integrated Network", 2019년 한국소프트웨어종합학술대회(KSC 2019), 2019.12.18~12.20.
    5. Nway Nway Ei, Choong Seon Hong, "Coexistence of Aerial and Ground users in UAV-Enabled Wireless Networks", 2019년 한국컴퓨터종합학술대회(KCC 2019), 2019.6.26~6.28.
    6. Madyan Alsenwi, Yan Kyaw Tun, Shashi Raj Pandey, Nway Nway Ei, Choong Seon Hong, "UAV-Assisted Multi-Access Edge Computing System: An Energy-Efficient Resource Management Framework," The International Conference on Information Networking (ICOIN 2020), January 7-10, 2020, Barcelona, Spain.
    7. Ki Tae Kim, Yu Min Park, Choong Seon Hong, "Machine Learning Based Edge-Assisted UAV Computation Offloading for Data Analyzing," The International Conference on Information Networking (ICOIN 2020), January 7-10, 2020, Barcelona, Spain.
    8. Sarder Fakhrul Abedin, Md. Shirajum Munir, Nguyen H. Tran, Zhu Han, Choong Seon Hong, "Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach ," IEEE Transactions on Intelligent Transportation Systems
    9. Yan Kyaw Tun, Yu Min Park, Nguyen H. Tran, Walid Saad, Shashi Raj Pandey, and Choong Seon Hong, "Energy-Efficient Resource Management in UAV-Assisted Mobile Edge Computing," IEEE Communications Letters