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MDP-based fast handoff with reducing waste rate method for management radio resource in 3GPP cellular networks

机译:用于3GPP蜂窝网络中管理无线电资源的基于MDP的减少浪费率的快速切换方法

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The 3G wideband CDMA systems (WCDMA) adopt the orthogonal variable spreading factor (OVSF) code tree as the channelization codes management for achieving high data rate transmission in mobile communications. It assigns a single channelization code for each accepted connection. Nevertheless, the data rate of traffic classes should be powers of two of the basic rate, which is impractical and wastes the system capacity when the required rate is not powers of two of the basic rate. One good solution to reduce the waste rate is to assign multiple codes for each accepted connection but it causes two inevitable drawbacks: long handoff delay and new call setup delay due to high complexity of processing with multiple channelization codes, and high cost of using more number of rake combiners at both of the base stations and the mobile nodes. Therefore, we propose herein an adaptive efficient partition algorithm with the Markov decision process (MDP) analysis approach to provide fast handoff while reducing the waste rate significantly. Numerical results show that the proposed approach outperforms the single code assignment scheme in GOS and waste rate. Meanwhile, the optimal number of rake combiners is also analyzed in this paper.
机译:3G宽带CDMA系统(WCDMA)采用正交可变扩频因子(OVSF)代码树作为信道化代码管理,以实现移动通信中的高数据速率传输。它为每个接受的连接分配单个信道化代码。然而,业务类别的数据速率应该是基本速率的两倍的幂,这是不切实际的,并且当所需速率不是基本速率的两倍的幂时,会浪费系统容量。减少浪费率的一个好的解决方案是为每个接受的连接分配多个代码,但这会带来两个不可避免的弊端:由于使用多个信道化代码的处理的高复杂性,切换延迟长和新的呼叫建立延迟,以及使用更多号码的成本高昂基站和移动节点上的瑞克组合器的数量。因此,我们在此提出一种具有马尔可夫决策过程(MDP)分析方法的自适应高效分区算法,以提供快速切换,同时显着降低浪费率。数值结果表明,该方法在GOS和浪费率方面均优于单一代码分配方案。同时,本文还分析了耙合成器的最佳数量。

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