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| Articles
by
Liu Zunxiong |
Total Records (
2 ) for
Liu Zunxiong |
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Liu Zunxiong
,
Xu Zheng
,
Feng Xingle
and
Lu Zhaogan
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In current 4G system given in recent literatures, channel
estimation overhead and complexity of Multi-User Detectors (MUD), may
lead to bad performance in fast fading channel scenarios when large number
of users exists. So, a novel 4G system with TDD/TDMA as duplex and wireless
access is designed to reduce channel estimation spending and avoid MUD,
as only one user can be active to communicate with base station. Under
the requirement of 4G systems, radio frame structure is elaborately designed
to fit for fast fading channel scenarios. The system architecture with
consideration of link adaptations for a novel eigenmodes coupled universal
space-time codes, is given and evaluated for performance of TDD/TDMA 4G
systems. Results show the proposed TDD/TDMA 4G can meet the requirement
of 4G system under the classical ITU channel profiles. |
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Liu Zunxiong
,
Xie Xin
and
Zhang Deyun
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Minimax Probability Machine Regression (MPMR) is proposed for chaotic time series global prediction in this study. In MPMR, regression function maximizes the minimum probability that future predication will be within an |Å to the true regression function. Multi-step predictions up to 20 steps were done on Mackey-Glass chaotic time series with MPMR and Local Weighted Linear Regression (LWLR). The results demonstrate that MPMR have better prediction performance, compared with LWLR. Kernel function shape parameter and regression tube value will influence the MPMR-based system performance. In experiments, the cross validation methods are employed to choose the two parameters. |
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