A Cell Zooming Strategy with Cooperative Transmission and Load Balancing in Hyper Cellular Network

Dan Zhang
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引用次数: 1

Abstract

In order to fulfill the demand of high traffic and wide area coverage in dense 5G networks, this paper proposes a new scheme that joint adaptive load balancing and cooperative transmission technology in hyper cellular network (HCN) to improve the edge spectral efficiency and ensure coverage probability. The load status of the TBS is analyzed by control base station (CBS) to realize the rational use of resources. For the heavy-load TBS, CBS control traffic base station (TBS) to perform adaptive cell zooming to optimize user association and achieve load balancing. For the light-load TBS after cell zooming, it should be put into sleeping state to save energy consumption of TBS and reduce interference to active users. In addition, the adaptive clustering sheme is used to alleviate the degradation of user signal quality after cell extending. Then, the integral expression of the coverage probability and the edge spectral efficiency are derived by the stochastic geometric. Numerical simulation analysis is performed and the results show that the proposed scheme gives notable gains in edge spectral efficiency compared to the existing schemes.
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超蜂窝网络中具有协同传输和负载均衡的小区缩放策略
为了满足密集5G网络高流量、广域覆盖的需求,提出了一种基于超蜂窝网络(HCN)的自适应负载均衡与协同传输技术相结合的新方案,以提高边缘频谱效率,保证覆盖概率。通过控制基站(CBS)对TBS的负载状态进行分析,实现资源的合理利用。对于重载TBS, CBS控制TBS进行自适应小区缩放,优化用户关联,实现负载均衡。对于小区放大后的轻载TBS,应将其置于休眠状态,以节省TBS的能耗,减少对活跃用户的干扰。此外,采用自适应聚类方案,缓解了小区扩展后用户信号质量的下降。然后,利用随机几何方法推导了覆盖概率和边缘谱效率的积分表达式。数值模拟分析结果表明,与现有方案相比,该方案在边缘频谱效率方面有显著提高。
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