位置管理是無(wú)線(xiàn)通信環(huán)境下的關(guān)鍵問(wèn)題，而影響其系統(tǒng)開(kāi)銷(xiāo)的主要因素是位置區(qū)
的設(shè)計(jì)。本文采用高斯－馬爾可夫模型作為移動(dòng)模型，通過(guò)數(shù)據(jù)采集和參數(shù)估計(jì)來(lái)實(shí)時(shí)預(yù)測(cè)移動(dòng)用戶(hù)的速度。然后根據(jù)得到的預(yù)測(cè)值，針對(duì)不同屬性用戶(hù)運(yùn)用模糊算法進(jìn)行位置區(qū)優(yōu)化設(shè)計(jì)，減少系統(tǒng)位置管理信令的開(kāi)銷(xiāo)。在無(wú)線(xiàn)網(wǎng)絡(luò)資源日益緊張的情況下，有很好的實(shí)用意義。
關(guān)鍵詞： 位置管理，高斯—馬爾可夫模型，速度估計(jì)，位置區(qū)優(yōu)化
Abstract：As far as we know，Location management is a key problem under a wireless
communication environment，and the main factor that influences the system overhead
is the design of location area. In this paper, we first choose excellent Gauss-Markov
model, then predict the mobile’s speed through selecting data and estimating
parameters and finally adopt fuzzy algorithm to optimize the design of location area
for different mobile users. The result shows that it can reduce the system overhead
for location management.
Key words：location management, Gauss-Markov model, speed estimation，optimization
design of location area