Markov prediction based handover in dynamic ultra dense network

Qingmin MENG; Yuanyuan ZHAO; Wenjing YUE; Yulong ZOU; Xiaoming WANG

doi:10.11959/j.issn.1000-436x.2018225

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Markov prediction based handover in dynamic ultra dense network

Correspondences | 更新时间：2024-06-05

- Markov prediction based handover in dynamic ultra dense network
- Journal on Communications Vol. 39, Issue 10, Pages: 166-174(2018)
- 作者机构：
  
  南京邮电大学通信与信息工程学院，江苏南京 210003
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61522109);The National Natural Science Foundation of China(61501253);The National Natural Science Foundation of China(61801240);The Natural Science Foundation of Jiangsu Province(15KJA510003);The Natural Science Foundation of Jiangsu Province(BK20151506)
- DOI：10.11959/j.issn.1000-436x.2018225
  CLC： TP393
- Online First：2018-10，
  
  Published：25 October 2018
- 稿件说明：
移动端阅览
Qingmin MENG, Yuanyuan ZHAO, Wenjing YUE, et al. Markov prediction based handover in dynamic ultra dense network[J]. Journal on Communications, 2018, 39(10): 166-174.
DOI：

Qingmin MENG, Yuanyuan ZHAO, Wenjing YUE, et al. Markov prediction based handover in dynamic ultra dense network[J]. Journal on Communications, 2018, 39(10): 166-174. DOI： 10.11959/j.issn.1000-436x.2018225.

摘要

针对超密集蜂窝网络中大规模机器类通信所涉及的通信与计算问题，提出了一种基于 Markov 预测的切换方案。首先考虑半结构化的中心控制的异构网络设计，该设计中含有密集部署的虚拟节点，以实现低成本和高效率的覆盖。该网络可以根据用户的移动性及网络通信量动态调整接入点。其次构建 Markov 模型，引入负载感知思想，通过权衡信号质量与小区负载，有效地预测用户的下一个最优接入点。仿真实验结果证明了该方案用于小区切换预测的可行性与有效性。

Abstract

In order to solve the problem of the communication and computational problems of large-scale machine communication in an ultra-dense cellular network

a Markov prediction based handover scheme (MPHS) was proposed.Firstly

a kind of heterogeneous network design with semi-structure and central control was considered which contains the densely deployed virtual nodes and thus realized a low cost and efficient coverage.The network can dynamically adjust the access point according to the user's mobility and network traffic.Secondly

a Markov model was constructed

and the idea of load-aware was introduced.By weighing the signal quality and the cell load

the user's next optimal access point was effectively predicted.The simulation results show the feasibility and effectiveness of the proposed scheme for cell handover predicting.

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references

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