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POMDP-Based Cell Selection Schemes for Wireless Networks

机译:基于POMDP的无线网络小区选择方案

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To acquire higher network capacity, the cell selection problem is formulated based on the partially observable Markov decision process (POMDP). It observes/predicts unavailable cell loading information from those non-serving base stations and takes actions for maintaining active base station set and handover target selection. Various utility functions are designed to consider different factors in the proposed POMDP-based cell selection (POCS) schemes, including system capacity, handover time, and mobility of mobile station. With the considerations of cell load as a hidden Markov model and predicted mobility in the reward function, simulation results show that the proposed POCS schemes can outperform conventional received signal strength based and load balancing methods.
机译:为了获得更高的网络容量,基于部分可观察的马尔可夫决策过程(POMDP)提出了小区选择问题。它观察/预测来自那些非服务基站的不可用小区负载信息,并采取措施来维持活动基站设置和切换目标选择。设计各种实用程序功能来考虑建议的基于POMDP的小区选择(POCS)方案中的不同因素,包括系统容量,切换时间和移动台的移动性。仿真结果表明,考虑到小区负载是隐马尔可夫模型,并且在奖励函数中具有预测的迁移率,仿真结果表明,所提出的POCS方案优于传统的基于接收信号强度和负载均衡的方案。

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