基于博弈论的蜂窝异构网络回程资源分配
首发时间:2015-12-16
摘要:随着无线数据业务的快速增长,毫蜂窝基站已经吸引了相当大的关注,作为一个有前途的技术,用于改善蜂窝移动用户的无线服务。的毫蜂窝基站的以前的工作着重于在访问期间的资源分配,而在回程期间的回程资源分配很大程度上忽略了。本文研究在两层的异构网络(HetNets)的毫蜂窝基站的无线回程解决方案的情况下,共同参考访问期间的资源分配和回程期间,跨层干扰有良好的管理由回程分配限制。斯坦克尔伯格博弈模型,制定捕捉联合效用最大化的毫蜂窝基站(FBSS)和宏蜂窝基站(MBS)最大容许干扰约束,提出了解决MBS的最优反应。游戏的斯坦克尔伯格均衡的特点,并提出了实用算法。仿真结果验证所建议的研究。结果表明,提出的方案是有效的频谱共享毫蜂窝网络在资源配置和宏蜂窝保护。
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Game Theory for backhaul resource allociation in Heterogeneous Cellular Networks
Abstract:With the rapid growth of wireless data services, Femtocell has attracted considerable attention as a promising technology for improving cellular phone user's wireless service. The prophase work of Femtocell focuses on resource allocation during the visit, and backhaul resource allocation largely ignored during the return. Wireless backhaul studied in two heterogeneous network (HetNets) of Femtocell solutions, which could be the common reference distribution and access to resources during the return period. Cross-layer interference is well managed by the return distribution restrictions. Stackelberg model, developed jointly capture utility maximization femtocell (FBSS) and macrocell base station (MBS) Maximum allowable interference constraints, the optimal response is proposed to solve the MBS. Stackelberg equilibrium characteristics of the game and made a practical algorithm. The simulation results validate the study's recommendations. The results show that the proposed scheme is effective spectrum sharing femtocell and macrocell network resources protection.
Keywords: femtocell game theory backhaul resource allociation interference management
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