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UAV Communications and Computing

Here are the basic concept of UAV communications and some useful resources.

Background of UAV Communications:

Unmanned aerial vehicle (UAV) communications have received much attention from both academia and industry because of high mobility, high flexibility, and high maneuverability of UAVs, and UAVs are very useful to provide communications for temporary large-scale, unexpected events or emergency communications.

Deploying UAVs to serve user equipments (UEs) is an encouraging solution, which can offer ubiquitous connectivity in the next generation wireless networks especially for unexpected incidents or temporary large-scale events, i.e., earthquakes, floods, traffic congestions, and concerts.

UAVs can be used to enhance the quality-of-service (QoS) of the Internet of Things Devices in the mobile edge computing network, and to reduce both the communication latency and the computing latency.

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For more details, please refer to my publications IEEE TVT 2021 and ICT EXpress paper 2020 in the reference at the bottom.

Userful Presentation Slides:
ICC_2022
May 18, 2022 ICC 2022, Seoul, South Korea

Machine Learning Driven Latency Optimization for Application-aware Edge Computing-based IoTs

WCNC_2022
April 13, 2022 WCNC 2022, Austin, USA

Machine Learning Driven UAV-assisted Edge Computing

ICC_2022
Mar. 2021 IEEE IoT, Oct. 2020

Latency-aware Service Provisioning in UAV Mobile Edge Computing

Presentation PPT Download:
  1. 2022-05-18 Machine Learning Driven Latency Optimization for Application-aware Edge Computing-based IoTs ― IEEE ICC 2022
  2. 2022-04-13 Machine Learning Driven UAV-assisted Edge Computing ― IEEE WCNC 2022
  3. 2020-10 Latency-aware Service Provisioning in UAV Mobile Edge Computing ― IEEE IoT 2020
  4. 2019-12 Backhaul-aware Uplink Communications in Full-Duplex DBS-aided HetNets ― IEEE Globecom 2019
  5. 2019-05-14 Drone-mounted Base-stations Communications with Spectrum Sharing in 5G networks ― IEEE WC 2019

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UAV Communications and Computing Publications:

Journals Articles:
  1. L. Zhang, B. Jabbari and N. Ansari, “Deep Reinforcement Learning Driven UAV-assisted Edge Computing,” IEEE Internet of Things Journal, vol. 9, no. 24, pp. 25449-25459, Dec. 2022.
  2. L. Zhang and J. Chakareski, “UAV-Assisted Edge Computing and Streaming for Wireless Virtual Reality,” IEEE Transactions on Vehicular Technology, vol. 71, no. 3, pp. 3267-3275, Mar. 2022.
  3. W. Liu, L. Zhang and N. Ansari, “Joint Laser Charging and DBS Placement for Downlink Communications,” IEEE Transactions on Network Science and Engineering, vol. 8, no. 4, pp. 3009-3018, Oct.-Dec. 2021.
  4. L. Zhang and N. Ansari, “Optimizing the Operation Cost for UAV-aided Mobile Edge Computing,” IEEE Transactions on Vehicular Technology, vol. 70, no. 6, pp. 6085-6093, Jun. 2021.
  5. L. Zhang and N. Ansari, “Latency-Aware IoT Service Provisioning in UAV-Aided Mobile-Edge Computing Networks,” IEEE Internet of Things Journal, vol. 7, no. 10, pp. 10573-10580, Oct. 2020.
  6. N. Ansari and L. Zhang, “Flexible Backhaul-aware DBS-aided HetNet with IBFD Communications (invited paper),” ICT Express, Mar. 2020, DOI: https://doi.org/10.1016/j.icte.2019.08.003.
  7. L. Zhang and N. Ansari, “Optimizing the Deployment and Throughput of DBSs for Uplink Communications,” IEEE Open Journal of Vehicular Technology, vol. 1, pp. 18-28, Jan. 2020.
  8. N. Ansari, Q. Fan, X. Sun and L. Zhang, “ SoarNet,” IEEE Wireless Communications, vol. 26, no. 6, pp. 37-43, Dec. 2019.
  9. L. Zhang and N. Ansari, “A Framework for 5G Networks with In-band Full-duplex Enabled Drone-mounted Base-stations,” IEEE Wireless Communications, vol. 26, no. 5, pp. 121-127, Oct. 2019.
  10. L. Zhang and N. Ansari, “Approximate Algorithms for 3-D Placement of IBFD Enabled Drone-mounted Base-Stations,” IEEE Transactions on Vehicular Technology, vol. 68, no. 8, pp. 7715-7722, Jun. 2019.
  11. L. Zhang and N. Ansari, “On the Number and 3-D Placement of In-Band Full-Duplex Enabled Drone-mounted Base-stations,” IEEE Wireless Communications Letters, vol. 8, no. 1, pp. 221-224, Feb. 2019.
  12. L. Zhang, Q. Fan and N. Ansari, “3-D Drone-Base-Station Placement with In-Band Full-Duplex Communications,” IEEE Communications Letters, vol. 22, no. 9, pp. 1902-1905, Sept. 2018.
Conference Papers:
  1. L. Zhang and B. Jabbari, “Machine Learning Driven Latency Optimization for Application-aware Edge Computing-based IoTs,” Proc. IEEE International Conference on Communications (ICC), pp. 183-188, May 2022.
  2. L. Zhang, B. Jabbari and N. Ansari, “Machine Learning Driven UAV-assisted Edge Computing,” Proc. IEEE Wireless Communications and Networking Conference (WCNC), pp. 2220-2225, Apr. 2022.
  3. L. Zhang and N. Ansari, “Backhaul-aware Uplink Communications in Full-Duplex DBS-aided HetNet,” Proc. 2019 IEEE Global Communications Conference (GLOBECOM 2019), Waikoloa, HI, USA, Dec. 9-13, 2019.