A Triple Optimization Strategy of Resource Allocation in Full-Duplex OFDMA Macrocell-femtocell Heterogeneous Networks
首发时间:2018-05-03
Abstract:We investigate the problem of cross-tier interference control in full-duplex (FD) Orthogonal Frequency Division Multiple Access (OFDMA) based heterogeneous networks (HetNets) consisting of macrocell and underlaying femtocells. A price mechanism is introduced where the macro base station (MBS) and femtocell base stations (FBSs) all aim to maximize their own utility function considering finite interference constraint. We propose a triple optimization strategy of power control, subcarrier allocation and price regulation which can solve the cross-tier interference optimization problem of femtocell to macrocell. We analyze the superiority of the barrier method for the utility function of the macrocell, and to a certain extent, it has a better convergence. Through the experiment, we can see that the proposed the triple resource allocation algorithm can effectively suppress cross-tier interference and maximize the utility of macrocell and femtocells.
keywords: Heterogeneous networks, OFDMA, full-duplex communications, resource allocation.
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基于全双工OFDMA宏-毫微微蜂窝异构网络中的一个三重资源分配的优化策略
摘要:我们研究了基于全双工(FD)正交频分多址(OFDMA)的异构网络(HetNets)中的跨层干扰控制问题,该异构网络中毫微微小区采用下垫式接入宏蜂窝小区。通过引入价格机制,使得宏基站(MBS)和毫微微小区基站(FBS)都考虑有限干扰约束来使其自己的效用函数最大化。提出了功率控制,子载波分配和价格调整三重资源分配优化策略,可以解决毫微微蜂窝到宏蜂窝的跨层干扰优化问题。我们分析了用屏障方法解决宏单元效用函数的优越性,可以看出,在一定程度上具有更好的收敛性。通过实验,我们可以看到,提出的三重资源分配算法可以有效地抑制跨层干扰,并最大化宏小区和毫微微小区的效用。
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基于全双工OFDMA宏-毫微微蜂窝异构网络中的一个三重资源分配的优化策略
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