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Design of adaptive modulation and coding Scheme for Truncated Hybrid ARQ

WIRELESS PERSONAL COMMUNICATIONS 2010年第2期53卷 269-280页

作者： Kang, Chung G. Park, Si H. Kim, Jin W. Korea Univ Sch Elect Engn Seoul South Korea

It has been known that adaptive modulation and coding (AMC) at the physical layer can be combined with a truncated automatic repeat request (ARQ) at the data link layer so as to maximize the spectral efficiency under prescribed delay and error performance constraint. In this paper, we consider the same joint design approach when incremental redundancy-based hybrid ARQ (IR-HARQ) is associated with an AMC design at the physical layer. The extensive simulation studies for predicting the progressive combining gain with each retransmission enables to evaluate the bandwidth efficiency that can be achieved by selecting a more aggressive modulation and coding rate set (MCS) at the expense of packet error rate in earlier transmissions. It has been demonstrated that the aggressive AMC design approach in association with IR-based truncated HARQ can improve bandwidth efficiency by 5.8 and 3.3 dB, as compared to the conservative AMC design approach with truncated HARQ and aggressive AMC design approach with truncated ARQ (i.e., without taking the progressive combining gain in HARQ into account), respectively.

关键词： Truncated hybrid ARQ adaptive modulation and coding Link adaptation Bandwidth efficiency

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Bandwidth Allocation for QoS Using adaptive modulation and coding in IEEE 802.16 Networks

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IEICE TRANSACTIONS ON COMMUNICATIONS 2009年第12期E92B卷 3919-3922页

作者： Jo, Hyun-Wook Jeon, Jae-Han Lim, Jong-The Korea Adv Inst Sci & Technol Dept Elect Engn Taejon 305701 South Korea

In recent years, there have been many studies on integrating a number of heterogeneous wireless networks into one network by establishing standards like IEEE 802.16. For this purpose, the base station (BS) should allocate the appropriate bandwidth to each connection with a network scheduler. In wireless networks, the signal to noise ratio (SNR) changes with time due to many factors such as fading. Hence, we estimate the SNR based oil the error rate reflecting wireless network condition. Using the estimated SNR, we propose a new time slot allocation algorithm so that the proposed algorithm guarantees the delay requirement and full link utilization.

关键词： QoS SNR bandwidth allocation adaptive modulation and coding

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A New adaptive modulation and coding Method for Communication-Based Train Control Systems using WLAN

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IFAC-PapersOnLine 2016年第22期49卷 139-144页

作者： Dong, Q. Hayashi, K. Kaneko, M. Graduate School of Informatics Kyoto University Yoshida-Honmachi Sakyo-ku Kyoto606-8501 Japan Information Systems Architecture Science Research Division National Institute of Informatics 2-1-2 Hitotsubashi Chiyoda-ku Tokyo101-8430 Japan

In this paper, we propose a new adaptive modulation and coding (AMC) method for Communication-Based Train Control (CBTC) systems using Wireless Local Area Network (WLAN). The goal of the proposed method is to enhance the control performance by choosing a transmission mode which decreases the average delay with respect to both Medium Access Control (MAC) contention and channel fading according to both average Signal-to-Noise Ratio (SNR) and the number of competing vehicles. The effectiveness of the proposed method is shown via computer simulations. © 2016

关键词： Signal to noise ratio adaptive control systems adaptive modulation Fading channels Medium access control Railroad traffic control Vehicle transmissions Wireless local area networks (WLAN) adaptive modulation and coding CBTC Communication based train control systems Communication based train controls Control performance Medium access control (MAC) Transmission mode WLAN

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adaptive modulation and coding for Underwater Acoustic Communications Based on Data-Driven Learning Algorithm

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REMOTE SENSING 2022年第23期14卷 5959页

作者： Jing, Lianyou Dong, Chaofan He, Chengbing Shi, Wentao Yin, Hongxi Dalian Univ Technol Sch Informat & Commun Engn Dalian 116024 Peoples R China Xidian Univ State Key Lab Integrated Serv Networks Xian 710071 Peoples R China Northwestern Polytech Univ Sch Marine Sci & Technol Xian 710072 Peoples R China

With the development of the underwater acoustic (UWA) adaptive communication system, energy-efficient transmission has become a critical topic in underwater acoustic (UWA) communications. Due to the unique characteristics of the underwater environment, the transmitter node will almost always have outdated channel state information (CSI), which results in low energy efficiency. In this paper, we take full advantage of bidirectional links and propose an adaptive modulation and coding (AMC) scheme that aims to maximize the long-term energy efficiency of a single link by jointly scheduling the coding rate, modulation order, and transmission power. Considering the complexity characteristics of UWA channels, we proposed a bit error ratio (BER) estimation method based on deep neural networks (DNN). The proposed network could realize channel estimation, feature extraction, and BER estimation by using a fixed pilot of the feedback link. Then, we design a channel classification method based on the estimated BERs of the modulation and coding scheme (MCS) and further model the UWA channels as a finite-state Markov chain (FSMC) with an unknown transition probability. Thus, we formulate the AMC problem as a Markov Decision Process (MDP) and solve it through a reinforcement learning framework. Considering the large state-action pairs, a double deep Q-network (DDQN) based scheme is proposed. Simulation results demonstrate that the proposed AMC scheme outperforms the fixed MCS with a perfect channel information state, and achieves near-optimal energy efficiency.

关键词： underwater acoustic communications adaptive modulation and coding BER estimation channel classification double deep Q-network

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Moore state machine for adaptive modulation and coding in high-speed railway LTE-R systems

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ELECTRONICS LETTERS 2016年第9期52卷 776-777页

作者： Zhao, Yisheng Chen, Zhonghui Ji, Hong Fuzhou Univ Coll Phys & Informat Engn Fuzhou 350108 Peoples R China Beijing Univ Posts & Telecommun Minist Educ Key Lab Universal Wireless Commun Beijing 100876 Peoples R China

An adaptive modulation and coding (AMC) scheme based on a Moore state machine is proposed for the high-speed railway communication systems. By setting a buffer zone for the signal-to-noise ratio threshold value, the proposed scheme is able to reduce the frequent transition of the modulation and coding scheme. Simulation results show that the proposed AMC strategy has a more stable spectral efficiency than the traditional AMC method using a piecewise function.

关键词： Long Term Evolution adaptive codes railway communication signal processing modulation coding Moore state machine LTE-R systems adaptive modulation and coding high-speed railway communication systems buffer zone signal-to-noise ratio threshold value frequent transition AMC strategy AMC method piecewise function

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adaptive modulation and coding Using Neural Network Based SNR Estimation

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IEEE ACCESS 2019年 7卷 183545-183553页

作者： Kojima, Shun Maruta, Kazuki Ahn, Chang-Jun Chiba Univ Grad Sch Engn Chiba 2638522 Japan

In this paper, we propose a novel adaptive modulation and coding (AMC) scheme enabled by Artificial Neural Network (ANN) aided Signal-to-Noise power Ratio (SNR) estimation. The Power Spectral Density (PSD) values are trained for SNR classification and it is mapped to respective modulation and coding Scheme (MCS) sets. Once trained, optimal MCS can be determined in low calculation complexity. The proposed approach is robust especially in high mobility environment since the PSD appearance is hardly influenced by the Doppler shift. Its effectiveness in terms of throughput is presented through computer simulations compared to the existing Error Vector Magnitude (EVM) based link adaptation scheme.

关键词： SNR estimation artificial neural network adaptive modulation and coding

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QoS-Guaranteed adaptive modulation and coding for Wireless Scalable Video Multicast

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2022年第3期32卷 1696-1700页

作者： Jiang, Qi Leung, Victor C. M. Tang, Hao Hefei Univ Technol Sch Elect Engn & Automat Hefei 230009 Peoples R China Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen 518060 Peoples R China Univ British Columbia Dept Elect & Comp Engn Vancouver BC V6T 1Z4 Canada

Multicast is a promising solution to address spectrum scarcity in wireless video streaming, while facing tough challenge in provisioning quality of service (QoS) to heterogeneous users. This article presents an adaptive modulation and coding (AMC) scheme to accommodate both spatial diversity and temporal variation on users' channel conditions for QoS provisioning in wireless scalable video multicast. The QoS-guaranteed AMC policy optimization is formulated as constrained stochastic optimization based on Markov decision processes. An adaptive policy iteration algorithm is developed to find the optimal AMC policy online without any prior knowledge of users' channel statistics or intensive calculations. This algorithm is attractive due to adaptability to unknown environments and less run-time computation expenditure. Simulations results demonstrate the effectiveness of the proposed scheme.

关键词： Quality of service Streaming media Static VAr compensators Video recording Quality assessment Encoding Optimization adaptive modulation and coding Markov decision processes QoS guarantee stochastic optimization scalable video multicast

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LSTM-Based adaptive modulation and coding for Satellite-to-Ground Communications

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Journal of Beijing Institute of Technology 2022年第5期31卷 473-482页

作者： Shiqi Zhang Guoxin Yu Shanping Yu Yanjun Zhang Yu Zhang School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China. School of Cyberspace Science and Technology Beijing Institute of TechnologyBeijing 100081China

Satellite communication develops rapidly due to its global coverage and is unrestricted to the ground environment. However, compared with the traditional ground TCP/IP network, a satellite-to-ground link has a more extensive round trip time(RTT) and a higher packet loss rate,which takes more time in error recovery and wastes precious channel resources. Forward error correction(FEC) is a coding method that can alleviate bit error and packet loss, but how to achieve high throughput in the dynamic network environment is still a significant challenge. Inspired by the deep learning technique, this paper proposes a signal-to-noise ratio(SNR) based adaptive coding modulation method. This method can maximize channel utilization while ensuring communication quality and is suitable for satellite-to-ground communication scenarios where the channel state changes rapidly. We predict the SNR using the long short-term memory(LSTM) network that considers the past channel status and real-time global weather. Finally, we use the optimal matching rate(OMR) to evaluate the pros and cons of each method quantitatively. Extensive simulation results demonstrate that our proposed LSTM-based method outperforms the state-of-the-art prediction algorithms significantly in mean absolute error(MAE). Moreover, it leads to the least spectrum waste.

关键词： satellite communication long short-term memory forward error correction rain loss adaptive modulation and coding

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A Unified Approach for Performance Analysis in Mobile WiMAX Networks with adaptive modulation and coding Schemes Over Rayleigh Fading Channels

A Unified Approach for Performance Analysis in Mobile WiMAX ...

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20th IEEE Symposium on Personal, Indoor and Mobile Radio Communications

作者： Abdelhadi, Reem Elbadawy, Hesham El-Ramly, Salwa NTI Network Planning Dep Cairo Egypt Ain Shams Univ Communication & Elctronics Dept Cairo Egypt

ISBN: (纸本)9781424451234

WiMAX technology is considered one of the most important solutions capable to provide a Broadband Wireless Access in metropolitan areas. Mobility issues have become challenging for the rollout for WiMAX networks in order to compete against the other competitive technologies such as 3.5G and LTE. In this paper, a unified approach to derive the overall BER and data rate for mobile WiMAX (in uplink direction) will be introduced. This approach will take into consideration different operational scenarios such as time varying channels with different values of channel estimation precision values, different number of subcarriers, and different symbol durations. An analytical expression for the effect of ICI power on the bit error probability and effective bit rate will be obtained for BPSK, QPSK, and 16QAM in presence of AMC. This paper also investigates the effect of the use of AMC techniques on the obtained system performance.

关键词： Mobile WiMAX OFDM adaptive modulation and coding ICI Channel Estimation

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adaptive modulation and coding for QoS-based Femtocell Resource Allocation with Power Control

Adaptive Modulation and Coding for QoS-based Femtocell Resou...

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IEEE Global Communications Conference

作者： Rima Hatoum Abbas Hatoum Alaa Ghaith Guy Pujolle LIP6/UPMC - University of Paris VI EDST/Lebanese University

ISBN: (数字)9781479935123

ISBN: (纸本)9781479935130

Nowadays, LTE-based femtocell technology is a promising solution offering high-speed services, enhanced indoor coverage and increased system capacity. In such multi-user wireless communication systems, intelligently allocating resources is the substantial aim towards interference mitigation and enhancing power and spectral efficiencies. In this paper, we propose a joint power and channel allocation with adaptive modulation and coding (AMC) technique for downlink OFDMA-based LTE system, namely AMC-QRAP. As trade-off between distributed and centralized architectures, we consider a clustered network architecture. Users differentiation is taken into account to ensure Quality of Service (QoS) guarantee where premium High Priority HP users and best effort BE users are served by the network. Our allocation problem is resolved as an optimization model using linear programming. Extensive simulations prove that our proposal outperforms different techniques in the literature and considerably improve two previously proposed methods QP-FCRA and Q-FCRA. We consider different metrics for performance evaluation such as spectral efficiency, throughput satisfaction rate, user outage and transmission power.

关键词： adaptive modulation and coding Power Control Resource Allocation QoS OFDMA-Femtocell

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