Telecommunications Science ›› 2022, Vol. 38 ›› Issue (8): 37-44.doi: 10.11959/j.issn.1000-0801.2022242

• Topic: UAV-Assisted Air-Ground Wireless Communication Technology • Previous Articles     Next Articles

Coordinated air-ground scheduling for UAV-assisted cell-free massive MIMO

Danhao DENG1, Chaowei WANG1, Fan JIANG2, Weidong WANG1   

  1. 1 School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
    2 School of Communication and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an 710121, China
  • Revised:2022-07-18 Online:2022-08-20 Published:2022-08-01
  • Supported by:
    The National Key Research and Development Program of China(2020YFB1807204)


Cell-free massive multiple-input multiple-output (MIMO) technology uses a large number of access points (AP) to provide efficient communication services for terrestrial users.However, massive APs and users increase the demand for channel state information detection, especially for users with high moving speeds.In order to reduce the consumption of pilot resources, a dual system architecture that integrates unmanned aerial vehicle-assisted (UAV-assisted) communications and cell-free massive MIMO communications was proposed.The architecture was able to predict the movement trajectories of high-speed users and use UAVs to provide them with reliable communications.A UAV trajectory design and user scheduling scheme based on deep reinforcement learning (DRL) was further proposed, which maximized the system sum rate under the premise of satisfying various constraints.Simulation results demonstrate that the proposed scheme is able to predict user trajectories and improve system sum rate compared with existing schemes.

Key words: cell-free massive MIMO, UAV-assisted communication, coordinated air-ground scheduling, DRL

CLC Number: 

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