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Comparative evaluation of fixed and adaptive soft handoff parameters using fuzzy inference systems in CDMA mobile communication systems

机译:CDMA移动通信系统中使用模糊推理系统对固定和自适应软切换参数的比较评估

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Two presented soft handoff (SHO) algorithms based on a fuzzy inference system (FIS) aim to increase the values of T-DROP and SHO Window (SHW), and T-ADD, in the first and second proposed algorithms, respectively in order to release the traffic channel at high traffic loads for increasing the carried traffic, and to decrease those values in the proposed algorithms in order to add the traffic channel in an active set at low traffic loads for increasing the quality of the traffic channel. These proposed FIS SHO algorithms can reduce the new call blocking probability (P/sub B/) and handoff call blocking probability (P/sub HO/) when compared with IS-95A, IS-95B/cdma2000 SHO and FIS SHO with various fixed SHW and adapted T-DROP while still keeping an acceptable low outage probability.
机译:两种提出的基于模糊推理系统(FIS)的软切换(SHO)算法旨在分别提高第一和第二种算法中T-DROP和SHO Window(SHW)以及T-ADD的值,以便在高业务负载下释放业务信道以增加所承载的业务,并在所提出的算法中减小这些值,以便在低业务负载下将业务信道添加到活动集中以提高业务信道的质量。与IS-95A,IS-95B / cdma2000 SHO和具有各种固定功能的FIS SHO相比,这些提议的FIS SHO算法可以降低新的呼叫阻塞概率(P / sub B /)和切换呼叫阻塞概率(P / sub HO /)。 SHW和改编的T-DROP,同时仍保持可接受的低中断概率。

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