Abstract
User‐centric unmanned aerial vehicle group (UUAVG) organizes a dynamic user‐centric access point group for each user, which can improve user service quality and throughput. However, in UUAVG, unmanned aerial vehicle user equipment (UUE) and device‐to‐device user equipment (DUE) using the same frequency will cause co‐frequency interference and reduce system performance. In response to this problem, a power allocation algorithm of the two‐level Stackelbreg game (PAOTLSG) is proposed. The algorithm builds a two‐level Stackelberg game model based on UUE and DUE and uses power control coefficients and other parameters to control UAV adjust with the transmit power of DUE to achieve dynamic balance. The optimal transmit power of UAV and DUE is theoretically deduced to achieve the game Nash equilibrium and theoretically prove the existence and uniqueness of the Nash equilibrium solution. The simulation results show that compared with the pricing‐based Stackelbreg game (PSG) algorithm, the PAOTLSG algorithm can effectively increase the throughput by 4.65%.
Highlights
Since the commercialization of 5G networks in 2020, 5G networks have gradually entered people’s lives, but because 5G networks have not yet been widely popularized, they cannot provide people with seamless high-quality communication services [1]
The abscissa in the figure is the number of iterations, the ordinate is the user’s transmit power, and the curve is expressed as the transmit power of UAV and device user equipment (DUE), respectively. It can be seen from the figure that with the increase of iteration times, the transmission power of UAV and DUE gradually decreases to a stable state
Some UAVs reduce the transmit power, and the change is small. This is because after the final p∗dl is generated after the DUE game, the UAV users are affected by the D2D interference, so the UAV layer game needs to be carried out again
Summary
Since the commercialization of 5G networks in 2020, 5G networks have gradually entered people’s lives, but because 5G networks have not yet been widely popularized, they cannot provide people with seamless high-quality communication services [1]. UAVs have the characteristics of high maneuverability, flexible deployment, and strong environmental adaptability. They can provide reliable signal coverage for blind areas of 5G networks and can provide task offloading for 5G networks in hotspots [2]. D2D (device-to-device) communication technology can increase the coverage of 5G networks and greatly increase system throughput [3]. Combining UAV technology and D2D technology can increase 5G coverage, increase system capacity, and increase system throughput [5, 6]. The traditional network architecture cannot meet the different business needs of all users, especially the quality of service (QoS) for users at the edge of the network [8]
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