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Dormancy Mechanism Based Power Allocation in Heterogeneous Networks: A Stackelberg Game Approach

机译:异构网络中基于休眠机制的功率分配:Stackelberg博弈方法

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In two-tier heterogeneous networks (HetNets) that consist of a central macrocell underlaid with spectrum-sharing dense smallcells, one primary concern is the cross-tier interference limits the network capacity. On the other hand, dormancy mechanism of smallcells is an emerging technique that can improve energy efficiency and mitigate interference. Therefore in this paper, we propose a power optimization oriented Stackelberg game considering dormancy mechanism for the downlink of two-tier HetNets. First, the smallcell dormancy mechanism is introduced to control the smallcells' operation. Then the Stackelberg game framework is developed. A sub game based on a potential theory is further formulated to optimize the transmit power of the active smallcells, which is demonstrated to converge to a pure and unique Nash equilibrium. In this sub game, the interference pricing mechanism is employed to price the cross-tier interference caused by smallcells and hence restricts the utility function of smallcells. Simulation results show that the proposed Stackelberg game based on dormancy mechanism with interference pricing can improve the smallcell network throughput and meanwhile reduce the average transmit power of smallcells.
机译:在由中央宏蜂窝组成的两层异构网络(HetNet)中,中央宏蜂窝被频谱共享密集的小蜂窝所覆盖,其中一个主要问题是跨层干扰会限制网络容量。另一方面,小小区的休眠机制是一种新兴技术,可以提高能源效率并减轻干扰。因此,在本文中,我们针对两层HetNets的下行链路提出了一种考虑休眠机制的面向功率优化的Stackelberg游戏。首先,引入了小型小区休眠机制来控制小型小区的操作。然后开发Stackelberg游戏框架。进一步制定了一个基于势能理论的子博弈,以优化活动小蜂窝的发射功率,这被证明可以收敛到纯净且独特的纳什均衡。在该子博弈中,采用了干扰定价机制对小型小区造成的跨层干扰进行定价,从而限制了小型小区的效用。仿真结果表明,提出的基于具有干扰定价的休眠机制的Stackelberg游戏可以提高小型蜂窝网络的吞吐量,同时降低小型蜂窝的平均发射功率。

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