Adaptive variable length Markov chain for non-stationary fading channel modeling

2003 ◽  
Author(s):  
W. Kumwilaisak ◽  
C.-C.J. Kuo
Keyword(s):  
Markov Chain ◽  
Fading Channel ◽  
Channel Modeling ◽  
Variable Length

scholarly journals Fading Channel Modeling via Variable-Length Markov Chain Technique

2008 ◽  
Vol 57 (3) ◽  
pp. 1338-1358 ◽  
Author(s):  
W. Kumwilaisak ◽  
C.-C.J. Kuo ◽  
Dapeng Wu
Keyword(s):  
Markov Chain ◽  
Fading Channel ◽  
Channel Modeling ◽  
Variable Length

Two-Dimensional Evolutionary Spectrum Approach to Nonstationary Fading Channel Modeling

2016 ◽  
Vol 65 (3) ◽  
pp. 1083-1097 ◽  
Author(s):  
Zhengchuan Chen ◽  
Qing Wang ◽  
Dapeng Oliver Wu ◽  
Pingyi Fan
Keyword(s):  
Fading Channel ◽  
Channel Modeling ◽  
Two Dimensional ◽  
Evolutionary Spectrum

On the First-Order Markov Model for the PLC Fading Channel

2013 ◽  
Vol 756-759 ◽  
pp. 2644-2648
Author(s):  
Wei Shen
Keyword(s):  
Markov Chain ◽  
Markov Process ◽  
Fading Channel ◽  
Markov Models ◽  
Time Varying ◽  
Power Line Communications ◽  
Channel Response ◽  
First Order ◽  
Order Markov Chain ◽  
Time Varying Channels

The power line communications (PLC) channel is noisy one, which can be modeled by the Markov process. The order is the key concerning when used the Markov process. the level of complexity will be incurred from using higher order , while the first-order Markov models may lead to the less accurate channel response. In the paper, the first-order Markov channel is under thoroughly discussion, and it can provide a mathematically tractable model for time-varying channels and uses only the received SNR of the symbol immediately preceding the current one. With the first-order Markov chain, given the information of the symbol immediately preceding the current one, any other previous symbol should be independent of the current one. We show that given the information corresponding to the previous symbol, the amount of uncertainty remaining in the current symbol should be negligible. That means the first-order of Markov process is enough when modeled the PLC channel.

scholarly journals Ancestry Inference in Complex Admixtures via Variable-length Markov Chain Linkage Models

2013 ◽  
Vol 20 (3) ◽  
pp. 199-211 ◽  
Author(s):  
Jesse M. Rodriguez ◽  
Sivan Bercovici ◽  
Megan Elmore ◽  
Serafim Batzoglou
Keyword(s):  
Markov Chain ◽  
Variable Length ◽  
Ancestry Inference ◽  
Linkage Models
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