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Competitive Market for Joint Access and Backhaul Resource Allocation in Satellite-Drone Networks

机译:卫星无人机网络中联合接入和回程资源分配的竞争市场

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In this paper, the problem of user association and sub-channel allocation in integrated satellite-drone networks (ISDNs) is studied. In this model, drone base stations (DBSs) provide downlink connectivity, supplementally, to ground users whose demand cannot be satisfied by terrestrial small cell base station (SBSs). Meanwhile, a satellite system is used to satisfy the increased demand for backhaul resources stemming from DBSs and SBSs. In this case, one must jointly consider resource allocation over satellite-DBS/SBS backhaul links, terrestrial backhaul links, and DBS/SBS-user radio access links as well as user association with DBSs and SBSs. This joint backhaul and radio user association and sub-channel allocation problem is modeled using a competitive market setting in which all of the communication links are modeled as consumers while the user association outcomes and the wireless sub-channels are modeled as goods. In this competitive market, consumers seek to exchange goods to maximize their profits, in terms of users' data rates. The sum rate of communication links, defined as the social welfare in the competitive market, is maximized in a sequential manner. An optimal satellite frequency sub-channel allocation scheme is first proposed given the sub-channel allocation and user association scheme at DBSs and SBSs. Then, the problems of sub-channel allocation and user association at DBSs and SBSs are solved using a Hungarian-based solution, such that the sum rate of all communication links are maximized. Simulation results show that, the proposed algorithm can find a Walrasian equilibrium allocation scheme, at which the spectrum resources in the market is fully used, upon convergence. Meanwhile, the proposed algorithm can yield over two-fold gains in terms of the number of downlink service links with 35 Mbps rate and 3.4 times gains in the number of backhaul links with 1 Gbps rate.
机译:本文研究了综合卫星无人机网络(ISDN)中的用户关联和子信道分配问题。在此模型中,无人机基站(DBS)补充地向地面小小区基站(SBS)无法满足其需求的地面用户提供下行链路连接。同时,使用卫星系统来满足因DBS和SBS而产生的对回程资源的日益增长的需求。在这种情况下,必须共同考虑通过卫星DBS / SBS回程链路,地面回程链路和DBS / SBS用户无线电接入链路以及与DBS和SBS的用户关联的资源分配。使用竞争性市场环境对该联合回程和无线电用户关联以及子信道分配问题进行建模,在该市场环境中,所有通信链路均被建模为消费者,而用户关联结果和无线子信道则被建模为商品。在这个竞争激烈的市场中,消费者希望通过交换商品来最大程度地提高用户数据速率方面的利润。通信链路的总速率(定义为竞争市场中的社会福利)以顺序的方式最大化。首先给出了在DBS和SBS的子信道分配和用户关联方案的最佳卫星频率子信道分配方案。然后,使用基于匈牙利的解决方案解决了DBS和SBS的子信道分配和用户关联问题,从而使所有通信链路的总速率最大化。仿真结果表明,该算法收敛后可以找到沃尔拉斯均衡分配方案,充分利用市场中的频谱资源。同时,就35 Mbps速率的下行链路服务链路数量而言,所提算法可产生两倍以上的收益,而对于1 Gbps速率的回程链路数量而言,该算法可获得3.4倍的收益。

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