OFDMA网络在不同用户流量场景下的动态CoMP配置

Yapeng Wang, Xu Yang, Liang Yang
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引用次数: 3

摘要

在基于OFDMA的LTE和LTE- a系统中,蜂窝边缘用户遭受蜂窝间干扰(ICI)。为了缓解ICI,提出了协调多点(CoMP)来提高蜂窝边缘用户的性能。在CoMP模式下,基站需要为这些CoMP用户保留相同的频率。然而,移动通信网络是一个动态的网络。用户分布是不断变化的,因此动态配置CoMP是有益的。在本研究中,设计并实现了一种智能算法来动态调整CoMP配置以优化系统性能。在该算法中,基站根据用户流量场景协同划分CoMP和非CoMP用户,协同调整CoMP用户配置。将遗传算法与该算法相结合,对CoMP除法进行优化。该算法显著提高了小区边缘用户的信噪比和吞吐量性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic CoMP configuration for OFDMA networks under different user traffic scenarios
In OFDMA based LTE and LTE-A systems, cell-edge users suffer from Inter-Cell Interference (ICI). To mitigate ICI, Coordinated Multi-Point (CoMP) is proposed to improve cell-edge users' performance. In CoMP mode, base stations need to reserve same frequencies for these CoMP users. However, mobile communication network is a dynamic network. Users distribution are always changing, therefore it will be beneficial to configure CoMP dynamically. In this study, an intelligent algorithm is designed and implemented to dynamically adjust CoMP configuration to optimize system performance. In the algorithm, base stations cooperatively divide CoMP and Non CoMP users according to user traffic scenarios and cooperatively adjust configuration of CoMP users. Genetic Algorithm is coupled to the proposed algorithm to optimize CoMP division. Cell edge users' SINR and throughput performance are significantly improved by our algorithm.
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