Adaptive modulation and frame length method based on Moore state machine in LTE-R communication system

In this study, 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 theoretical analysis and simulation evaluation. According to modulation and frame length schemes (MFLSs) 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 goodput than the common modulation schemes and less symbol energy consumption than the high-order modulation scheme. In addition, the AMFL-MSM with modulation priority has better performance than the AMFL-MSM with frame length priority in terms of goodput stability.

[1]  Arne Svensson,et al.  An Introduction to Adaptive QAM Modulation Schemes for Known and Predicted Channels , 2007, Proceedings of the IEEE.

[2]  Jiangzhou Wang,et al.  Distributed Antenna Systems for Mobile Communications in High Speed Trains , 2012, IEEE Journal on Selected Areas in Communications.

[3]  Hong Ji,et al.  Moore state machine for adaptive modulation and coding in high-speed railway LTE-R systems , 2016 .

[4]  Jyh-Cheng Chen,et al.  Design and Analysis of an Antenna Control Mechanism for Time Division Duplexing Distributed Antenna Systems Over High-Speed Rail Communications , 2016, IEEE Transactions on Emerging Topics in Computing.

[5]  Andreas F. Molisch,et al.  High-Speed Railway Communications: From GSM-R to LTE-R , 2016, IEEE Vehicular Technology Magazine.

[6]  Francisco Blanquez-Casado,et al.  Link Adaptation Mechanisms Based on Logistic Regression Modeling , 2019, IEEE Communications Letters.

[7]  Liang Xiao,et al.  Reinforcement Learning-Based Adaptive Modulation and Coding for Efficient Underwater Communications , 2019, IEEE Access.

[8]  Robert Schober,et al.  Optimal adaptive modulation and coding with switching costs , 2009, IEEE Transactions on Communications.

[9]  Hatem Boujemaa,et al.  Adaptive Packet Length and MCS Using Average or Instantaneous SNR , 2018, IEEE Transactions on Vehicular Technology.

[10]  Viacheslav Borisovich Marakhovsky,et al.  Globally asynchronous systems of interactive Moore state machines , 2016, IET Comput. Digit. Tech..

[11]  Ning Wang,et al.  Cross Layer AMC Scheduling for a Cooperative Wireless Communication System over Nakagami-m Fading Channels , 2012, IEEE Transactions on Wireless Communications.

[12]  Chahe Nerguizian,et al.  Cross-layer design of T-ARQ and adaptive modulation and coding in a spectrum sharing with cooperative relaying system , 2019, IET Commun..

[13]  Lajos Hanzo,et al.  Adaptive Coding and Modulation for Large-Scale Antenna Array-Based Aeronautical Communications in the Presence of Co-Channel Interference , 2017, IEEE Transactions on Wireless Communications.

[14]  Georgios B. Giannakis,et al.  Cross-Layer combining of adaptive Modulation and coding with truncated ARQ over wireless links , 2004, IEEE Transactions on Wireless Communications.

[15]  Harry Leib,et al.  Performance of truncated type-II hybrid ARQ schemes with noisy feedback over block fading channels , 2000, IEEE Trans. Commun..

[16]  Chang-Jun Ahn,et al.  Adaptive Modulation and Coding Using Neural Network Based SNR Estimation , 2019, IEEE Access.

[17]  Zaichen Zhang,et al.  Novel Channel Quality Indicator Prediction Scheme for Adaptive Modulation and Coding in High Mobility Environments , 2019, IEEE Access.

[18]  Marco Levorato,et al.  Analysis of Non-Cooperative and Cooperative Type II Hybrid ARQ Protocols with AMC over Correlated Fading Channels , 2011, IEEE Transactions on Wireless Communications.