利用高效博弈理论的宏蜂窝网络切换方案

Qiaozhi Hua, Yuwei Su, Takuro Sato, Keping Yu
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引用次数: 1

摘要

Macro-Femtocell系统在当今社会得到了广泛的应用,因为Macrocell基站和Femtocell基站之间的合作可以提高一定区域的通信容量,适应大量的多用户需求。为了提高系统的通信质量,当用户在有限的Femtocell基站覆盖范围内移动时,应采用切换方案。一般移动用户在交接过程中采用马尔可夫决策策略。然而,马尔可夫决策过程并不能保证Macrocell基站和Femtocell基站的最大利用率平衡。在这种情况下,用户往往会选择信号强度最高的基站,这会导致Macrocell基站负载过大,而Femtocell基站处于空闲状态,系统利用率很低。针对这一问题,提出了基于Starckberg竞争理论的有效博弈切换方案,以适当提高基站的发射功率。这样可以保证系统的通信质量,保证系统的负载均衡,诱导用户主动处理切换方案。最后,仿真结果表明,该策略可以通过预测用户的移动来选择接收最高信号强度的最佳基站。还可以实现系统中天线的负载均衡。优化用户组的整体传输质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utilization efficient game-theoretical handover scheme for macro-femtocell networks
The Macro-Femtocell system is widely used in current society because the cooperation between Macrocell base stations and Femtocell base stations can improve the communication capacity of certain areas and adapt to the large multi-user demand. To increase the system's communication quality, the handover scheme should be utilized when the user is moving within the limited coverage of Femtocell base stations. Generally, the Markov decision strategy is used for mobile users in the process of handover. However, the Markov decision process can't ensure the maximum utilization balance of Macrocell base stations and Femtocell base stations. In this case, users often choose the base station offering the highest signal strength, which will cause a Macrocell base station's load to be too large and Femtocell base stations to be idle, so the system's utilization is very low. To address this problem, we propose the utilization efficient game-theoretical handover scheme based on Starckberg competition theory for appropriately increasing a Femtocell base station's transmitting power. This can ensure the communication quality of the system and guarantees the system's load balance to induce users to take the initiative in processing the handover scheme. Finally, the simulation results show that our strategy is effective in choosing the best base station to receive the highest signal strength by predicting the user's movement. It could also realize the load balance of the antenna in the system. The overall transmission quality of the user group is optimized.
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