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author:

Chen, Mengjia (Chen, Mengjia.) [1] | Zhao, Yisheng (Zhao, Yisheng.) [2] (Scholars:赵宜升) | Gao, Jincheng (Gao, Jincheng.) [3] | Chen, Zhonghui (Chen, Zhonghui.) [4] (Scholars:陈忠辉)

Indexed by:

CPCI-S

Abstract:

In this paper, the problem of adaptive modulation and frame length (AMFL) is investigated in long-term evolution for railway (LTE-R) communication system. By considering the effect of frame length, a novel AMFL strategy based on Moore state machine (MSM) is proposed. The influence of the frame length on the goodput is discussed by simulation evaluation. According to modulation and frame length schemes (MFLS) adopted in LTE-R system, the finite state set of the MSM is designed. For different MFLSs, the frame error rate (FER) and signal-to-noise ratio (SNR) curve is obtained. By giving a target FER, the SNR thresholds corresponding to different MFLSs are achieved. From the perspectives of modulation priority and frame length priority, two different AMFL-MSMs are designed to change MFLSs dynamically. Simulation results show that the proposed two AMFL-MSMs have more stable normalized goodput and less symbol energy consumption than the high-order modulation scheme. Moreover, compared with common MFLS, two AMFL-MSMs have higher average normalized goodput at different speeds.

Keyword:

Community:

  • [ 1 ] [Chen, Mengjia]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou, Fujian, Peoples R China
  • [ 2 ] [Zhao, Yisheng]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou, Fujian, Peoples R China
  • [ 3 ] [Gao, Jincheng]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou, Fujian, Peoples R China
  • [ 4 ] [Chen, Zhonghui]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou, Fujian, Peoples R China

Reprint 's Address:

  • 陈梦嘉

    [Chen, Mengjia]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou, Fujian, Peoples R China

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Source :

2019 IEEE 89TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-SPRING)

ISSN: 2577-2465

Year: 2019

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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