In this paper, the problem of user association and resource allocation is
studied for an integrated satellite-drone network (ISDN). In the considered
model, drone base stations (DBSs) provide downlink connectivity,
supplementally, to ground users whose demand cannot be satisfied by terrestrial
small cell base stations (SBSs). Meanwhile, a satellite system and a set of
terrestrial macrocell base stations (MBSs) are used to provide resources for
backhaul connectivity for both DBSs and SBSs. For this scenario, one must
jointly consider resource management over satellite-DBS/SBS backhaul links,
MBS-DBS/SBS terrestrial backhaul links, and DBS/SBS-user radio access links as
well as user association with DBSs and SBSs. This joint user association and
resource allocation problem is modeled using a competitive market setting in
which the transmission data is considered as a good that is being exchanged
between users, DBSs, and SBSs that act as "buyers", and DBSs, SBSs, MBSs, and
the satellite that act as "sellers". In this market, the quality-of-service
(QoS) is used to capture the quality of the data transmission (defined as
good), while the energy consumption the buyers use for data transmission is the
cost of exchanging a good. According to the quality of goods, sellers in the
market propose quotations to the buyers to sell their goods, while the buyers
purchase the goods based on the quotation. The buyers profit from the
difference between the earned QoS and the charged price, while the sellers
profit from the difference between earned price and the energy spent for data
transmission. The buyers and sellers in the market seek to reach a Walrasian
equilibrium, at which all the goods are sold, and each of the devices' profit
is maximized. A heavy ball based iterative algorithm is proposed to compute the
Walrasian equilibrium of the formulated market.

本文针对集成卫星 - 无人机网络 (ISDN) 研究了用户关联和资源分配问题。作者采用竞争市场模型来建模求解联合用户关联和资源分配问题，并使用基于重球的迭代算法计算了市场的 Walrasian 均衡。