分层异构网络中基于斯坦克尔伯格博弈的资源分配算法

发布时间：2018-12-08 17:15

【摘要】：分层异构网络中当家庭基站与宏基站共享频谱时,它们之间总是存在干扰,导致用户性能较差。如何分配资源以获得高谱率和高容量、保证用户性能一直是研究的重点。本文提出了一种异构蜂窝网络中基于斯坦克尔伯格博弈的家庭基站与宏基站联合资源分配算法,算法首先基于图论的分簇算法对家庭基站进行分簇,并与宏用户联合信道分配,以减少家庭基站之间的同层干扰和家庭基站层与宏蜂窝的跨层干扰;然后建立了联合家庭基站发射功率以及宏用户接入选择的斯坦克尔伯格博弈,推导出领导层博弈达到纳什均衡时的家庭基站发射功率的表达式,并据此为宏用户选择合适的接入策略。效用函数考虑用户的信干噪比,保证用户的性能。仿真结果表明,该算法能够有效地提高宏用户的信干噪比(SINR),家庭用户的性能也得到改善。
[Abstract]:When the spectrum is shared between the home base station and the macro station in the layered heterogeneous network, there is always interference between them, which leads to poor user performance. How to allocate resources to obtain high spectral rate and high capacity and ensure user performance has been the focus of research. In this paper, we propose a joint resource allocation algorithm for cell base station and macro base station in heterogeneous cellular networks based on Steinkerberg game. Firstly, we cluster the family base stations based on graph theory, and combine channel allocation with macro users. In order to reduce the same layer interference between the home base station and the cross layer interference between the home base station layer and the macro cell; Then, the Stackelberg game of the combined family base station transmission power and the macro user access selection is established, and the expression of the family base station transmission power when the leadership game reaches Nash equilibrium is derived. According to this, the appropriate access strategy is selected for macro users. The utility function considers the signal-to-noise ratio of the user to ensure the performance of the user. Simulation results show that the proposed algorithm can effectively improve the performance of (SINR), home users.
【作者单位】：南京邮电大学江苏省无线通信重点实验室;南京邮电大学教育部宽带无线通信与传感网技术重点实验室;
【基金】：973计划(2013CB329005) 国家自然科学基金(61571234,61631020) 江苏省自然科学基金(BK20140894)
【分类号】：TN929.5

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