TY - JOUR
T1 - Modeling and Analysis of Error Process in 5G Wireless Communication Using Two-State Markov Chain
AU - Myint, San Hlaing
AU - Yu, Keping
AU - Sato, Takuro
N1 - Funding Information:
This work was supported in part by the Advanced Telecommunications Research Institute International through the project Contract Survey and Examination on Technical Conditions of the 5th Generation Mobile Communication System Being Enable Ultra-High-Speed Communication Exceeding 2 Gbps Average Indoors Environment, and in part by the JSPS KAKENHI under Grant JP18K18044.
PY - 2019
Y1 - 2019
N2 - In fifth-generation wireless communications, data transmission is challenging due to the occurrence of burst errors and packet losses that are caused by multipath fading in multipath transmissions. To acquire more efficient and reliable data transmissions and to mitigate the transmission medium degradation in the 5G networks, it is important to study the error patterns or burst the error sequences that can provide insights into the behavior of 5G wireless data transmissions. In this paper, a two-state Markov-based 5G error model is investigated and developed to model the statistical characteristics of the underlying error process in the 5G network. The underlying 5G error process was obtained from our 5G wireless simulation, which was implemented based on three different kinds of modulation methods, including QPSK, 16QAM, and 64QAM, and was employed using the LDPC and TURBO coding methods. By comparing the burst or gap error statistics of the reference error sequences from the 5G wireless simulations and those of the generated error sequences from the two-state Markov error model, we show that the error behaviors of the coded OFDM 5G simulations can be adequately modeled by using the two-state Markov error model. Our proposed two-state Markov-based wireless error model can help to provide a more thorough understanding of the error process in 5G wireless communications and to evaluate the error control strategies with less computational complexity and shorter simulation times.
AB - In fifth-generation wireless communications, data transmission is challenging due to the occurrence of burst errors and packet losses that are caused by multipath fading in multipath transmissions. To acquire more efficient and reliable data transmissions and to mitigate the transmission medium degradation in the 5G networks, it is important to study the error patterns or burst the error sequences that can provide insights into the behavior of 5G wireless data transmissions. In this paper, a two-state Markov-based 5G error model is investigated and developed to model the statistical characteristics of the underlying error process in the 5G network. The underlying 5G error process was obtained from our 5G wireless simulation, which was implemented based on three different kinds of modulation methods, including QPSK, 16QAM, and 64QAM, and was employed using the LDPC and TURBO coding methods. By comparing the burst or gap error statistics of the reference error sequences from the 5G wireless simulations and those of the generated error sequences from the two-state Markov error model, we show that the error behaviors of the coded OFDM 5G simulations can be adequately modeled by using the two-state Markov error model. Our proposed two-state Markov-based wireless error model can help to provide a more thorough understanding of the error process in 5G wireless communications and to evaluate the error control strategies with less computational complexity and shorter simulation times.
KW - 5G
KW - burst error statistics
KW - two-state Markov model
KW - wireless error model
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U2 - 10.1109/ACCESS.2019.2892051
DO - 10.1109/ACCESS.2019.2892051
M3 - Article
AN - SCOPUS:85062988931
VL - 7
SP - 26391
EP - 26401
JO - IEEE Access
JF - IEEE Access
SN - 2169-3536
M1 - 8610125
ER -