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A Cross-Layer adaptive modulation and coding Scheme for Energy Efficient Software Defined Radio

JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY 2012年第1期69卷 23-30页

作者： Chen, Ying Davis, Linda M. Univ S Australia Inst Telecommun Res Adelaide SA 5001 Australia

In this paper, a simple and novel cross-layer adaptive modulation and coding (AMC) scheme, which increases the energy efficiency of the wireless communication system is proposed. Traditionally, AMC has been used to improve MAC-layer performance in terms of coded bit error rate, packet error rate, and throughput. The modulation and coding scheme is switched according to signal-to-noise ratio thresholds at the PHY layer. We extend the approach, proposing a framework for energy-efficient cross-layer AMC that captures the impact of both MAC layer and PHY layer parameters on the AMC switching criteria. Cross-layer designs are naturally suited to software defined radio applications. Not only are they readily implemented in software, but also they are integral to the radio components. They can optimize performance of the radio either for a given configuration or adaptively. Through examples of WLAN physical layer and Frequency Domain Equalized systems, we demonstrate our AMC scheme and verify its effectiveness by simulation.

关键词： Software defined radio Cross-layer design Energy efficiency adaptive modulation and coding

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Ultra-Reliable Low-Latency Transmission of Small Data Over Fading Channels: A Data-Oriented Analysis

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IEEE COMMUNICATIONS LETTERS 2020年第3期24卷 515-519页

作者： Yang, Hong-Chuan Choi, Seyeong Alouini, Mohamed-Slim Univ Victoria Dept Elect & Comp Engn Victoria BC V8W 2Y2 Canada Wonkwang Univ Dept Informat & Commun Engn Iksan 54538 South Korea KAUST Comp Elect & Math Sci & Engn Div Thuwal 23955 Saudi Arabia

A data-oriented approach has been recently proposed that simultaneously supports ultra-high reliability and low latency in wireless transmission systems. In this letter, we analyze the performance of small data transmissions over fading channels in terms of a data-oriented performance metric. Through analytical results and associated numerical examples, we demonstrate the effectiveness of rate/power adaptive transmission and diversity combining in achieving ultra-reliable low-latency transmissions.

关键词： Small data URLLC delay outage rate adaptive modulation and coding Rayleigh fading

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Recognition of error correcting codes based on CNN with block mechanism and embedding

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DIGITAL SIGNAL PROCESSING 2021年 111卷 102986-102986页

作者： Li, Sida Zhou, Jing Huang, Zhiping Hu, Xiaochang Natl Univ Def Technol Coll Intelligent Sci Changsha 410073 Peoples R China

An error correcting code type recognition technique based on a deep learning approach is proposed in this paper. This problem could be addressed in the context of non-cooperative communications or adaptive coding and modulation. Inspired by text classification, we proposed a convolutional neural network (CNN) model improved by embedding and block mechanism to classify the linear block code, convolutional code, and turbo code with the only knowledge of the noisy information streams. It achieves higher recognition performance than the algorithms which are based on traditional deep learning and rank calculation. Further results show that the performance is greatly affected by block length and the dimension of the embedding layer. In a nutshell, the CNN with block mechanism and embedding is a promising feature extraction and classification technique, and it is suitable for the recognition of different kinds of communication signals. (C) 2021 Elsevier Inc. All rights reserved.

关键词： adaptive modulation and coding Blind/semi-blind estimation Deep learning Text classification Forward error correcting (FEC) code

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Robust transmission using channel encoding towards 5G New Radio: A telemetry approach

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COMPUTERS & ELECTRICAL ENGINEERING 2021年 95卷 107377-107377页

作者： Sharma, Vipin Arya, Rajeev Kumar, Sandeep Natl Inst Technol Dept Elect & Commun Engn Patna Bihar India Natl Inst Technol Karnataka Dept Elect & Commun Engn Surathkal India

This paper presents a robust channel encoding scheme under adaptive modulation and coding for a massive machine type communication device in 5G new radio. For the very first time, modeselection and distance statistics algorithms have been simultaneously evaluated, in which together it provides the closest approximation of efficient adaptive modulation and coding with robust transmission. The prediction of optimum adaptive modulation and coding is based on the analysis of uplink packet using distance statistics, and downlink packet using mode-selection mechanism. The performance of 5G new radio by incorporating OFDM subcarrier has been evaluated using analytical as well as simulation approach. Mode-selection algorithm has been considered to predict the environmental condition under a fading channel while the distance statistics provide feedback of the previously transmitted channel condition. The result of both the approaches provide a better bit error rate for adaptive modulation & coding profile under 1/4, 1/ 18, 1/16 and 1/32 cyclic prefix.

关键词： 5G New Radio Telemetry Physical layer adaptive modulation and coding Distance Statistic Orthogonal frequency-division multiplexing (OFDM)

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Machine Learning Assisted Caching and adaptive LDPC Coded modulation for Next Generation Wireless Communications 11

Machine Learning Assisted Caching and Adaptive LDPC Coded Mo...

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17th International Joint Conference on E-Business and Telecommunications (SECRYPT)

作者： Nooh, Hassan Zhu, Zhikun Ng, Soon Xin Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England

ISBN: (纸本)9789897584459

Unmanned Aerial Vehicles (UAVs) constitute a key technology for next generation wireless communications. Compared to terrestrial communications, wireless systems with low-altitude UAVs are in general faster to deploy, more flexible and are likely to have better communication channels due to the presence of short-range Line of Sight (LoS) links. In this contribution, a Latent Dirichlet Allocation (LDA) based machine learning algorithm was utilized to optimize the content caching of UAVs, while the K-means clustering algorithm was invoked for optimizing the assignment of mobile users to the UAVs. We further investigated a practical adaptive Low Density Parity Check (LDPC) coded modulation (ALDPC-CM) scheme for the communication links between the UAVs and the users. We found that the caching efficiency of each UAV can be boosted from 50% with random caching to above 90% with the employment of LDA. We also found that the proposed ALDPC-CM scheme is capable of performing closely to the ideal perfect coding based scheme, where the mean delay of the former is only about 0.05 ms higher than that of the latter, when the UAV system aims to minimize both the transmission and request delays.

关键词： Low Density Parity-check Codes Latent Dirichlet Allocation adaptive modulation and coding K-Means Clustering

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adaptive Uniform Entropy Loading for SSB-DMT Systems

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JOURNAL OF LIGHTWAVE TECHNOLOGY 2019年第23期37卷 5961-5970页

作者： Chen, Xi Chen, Yizhao Tang, Ming Tong, Tianhao Fu, Songnian Liu, Deming Huazhong Univ Sci & Technol Sch Opt & Elect Informat Wuhan Natl Lab Optoelect Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Sch Opt & Elect Informat Next Generat Internet Access Natl Engn Lab Wuhan 430074 Peoples R China

In this paper, we proposed a simple uniform entropy loading (UEL) algorithm to adaptively load the same entropy for all the subcarriers according to the channel state information. Thanks to the signal-to-noise ratio (SNR) equalization effect of precoding, only one distribution matcher is used for UEL, maximally reducing the complexity of entropy loading. The proposed algorithm is based on the relationship between the optimal information bits per symbol (IBPS) and SNR for probabilistically shaped quadrature amplitude modulation (PS QAM) under the constraint of normalized generalized mutual information (NGMI) considering the implementation of constant composition distribution matching (CCDM) and off-the-shelf forward error correction (FEC) code. Different from generalized mutual information (GMI), IBPS intuitively represents practical performance. Besides, the relationship between IBPS and SNR for conventional QAM and time domain hybrid QAM (TDHQ) are also calculated to perform the well-known bit power loading (BPL) algorithm, Levin-Campello (LC) algorithm, and TDHQ assisted adaptive loading (AL) algorithm, respectively. Based on theoretical analysis, to our best knowledge, we first found that precoding procedure adopted by TDHQ assisted AL and UEL scheme degrades Shannon capacity compared to water-filling algorithm, the upper limit of BPL algorithms. However, benefiting from shaping gain of PS QAM, the proposed UEL algorithm achieves higher net data rate (NDR) and lower peak-to-average power ratio (PAPR) than the LC algorithm, which is demonstrated by the simulations and experiments in single sideband discrete multi-tone (SSB-DMT) systems. According to the experimental results, up to 3.2% NDR improvement and 0.82 dB PAPR reduction are realized by the UEL algorithm compared to the LC algorithm. The UEL algorithm also outperforms TDHQ assisted AL algorithm by the average NDR gain of up to 8.0%. The simple and effective advantages make the proposed UEL scheme suitable f

关键词： adaptive modulation and coding bit and power loading discrete multi-tone precoding probabilistic shaping single sideband modulation

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Efficient Hardware Implementation of Error Correcting Codes Classification Algorithm

Efficient Hardware Implementation of Error Correcting Codes ...

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作者： Sida Li Fangqi Shen Yongjie Zhao Zhiping Huang College of Intelligence Science and Technology National University of Defense Technology

In this paper,we present efficient hardware structure of Gauss-Jordan Elimination Through Pivoting(GJETP) based error correcting code classification algorithm,in order to provide real-time solution for code recognition in noncooperative *** originality proposed to modify the architecture of traditional GJETP by using two type of processing units in the *** to normally used hardware architecture,the proposed hardware architecture based elimination algorithm significantly unleashes the working frequency and tightens the power consumption to a great *** results illustrates that there are obvious acceleration using the proposed approach than software based method with the acceleration rate over 100 times.

关键词： adaptive modulation and coding Block codes Blind/semi-blind estimation Convolutional codes Error correction codes

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Probabilistically Coded modulation Formats for 5G Mobile Fronthaul Networks

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JOURNAL OF LIGHTWAVE TECHNOLOGY 2019年第16期37卷 3882-3892页

作者： Yang, Mingwei Rastegarfar, Houman Djordjevic, Ivan B. Univ Arizona Dept Elect & Comp Engn Tucson AZ 85721 USA Univ Arizona Coll Opt Sci Tucson AZ 85721 USA

The centralized/cloud radio access network architecture is being considered as a promising solution for fifth-generation cellular networks. In particular, the stringent capacity and latency requirements of the fronthaul segment call for innovations in the design of new architectures and transceivers that support adaptive communication resource allocation between centralized baseband processing units and remote radio heads. In this paper, we propose probabilistically coded three-level pulse amplitude modulation and five-point quadrature amplitude modulation schemes in hybrid mobile fronthaul (MFH) networks that support both coherent detection and direct detection. We propose encoding and decoding algorithms and optimize the decoder configuration through simulations. Based on a distributed pseudorandom encoding technique developed in our earlier work, we adapt the modulation type and code rate per fronthaul connection in real-time. Using two separate software-defined networking enabled downlink and uplink transmission testbeds employing code division multiplexing technology, we demonstrate the benefits of our proposed modulation formats for multicast transmission in hybrid networking scenarios as well as the advantages of adaptive bidirectional transmission in MFH networks.

关键词： adaptive modulation and coding coherent detection (CD) direct detection (DD) mobile fronthaul (MFH) pulse amplitude modulation (PAM) quadrature amplitude modulation (QAM) software-defined networking (SDN) wavelength routing

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Impact of Atmospheric Parameters on the Propagated Signal Power of Millimeter-Wave Bands Based on Real Measurement Data

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IEEE ACCESS 2019年 7卷 113626-113641页

作者： Han, Congzheng Duan, Shu Chinese Acad Sci Inst Atmospher Phys Key Lab Middle Atmosphere & Global Environm Obser Beijing 100029 Peoples R China Univ Chinese Acad Sci Coll Earth & Planetary Sci Beijing 100049 Peoples R China Chengdu Univ Informat Engn Sch Elect Engn Chengdu 610225 Sichuan Peoples R China Jiangsu Key Lab Meteorol Observat & Radar Technol Nanjing 211006 Jiangsu Peoples R China

Millimeter waves have been recognized as carriers for 5G cellular networks. We carried out a series of millimeter-wave measurements in Beijing, China, and studied the atmospheric impacts on millimeter-wave transmission. Our measurement design is an exemplary LOS transmission link. We also studied a 3 km long commercial E-band millimeter-wave backhaul link in Goteborg, Sweden. We monitored the variation of received signal in the rain, and compared the theoretical rain-induced signal attenuation with the practically monitored signal attenuation. Our results show that there is 1.5-4.5 dB uncertainty between the practical and theoretical rain-induced signal attenuation. Assuming the prediction of rain intensity is available, we have proposed a novel rain-aware radio resource management strategy which adapts the modulation and coding schemes of an OFDM system to rainfall events. We have applied the proposed algorithm to an OFDM - based 5G system, and the throughput result is improved. The result shows that the throughput of a fixed modulation and coding scheme system is between 12%-95% of the system employing the proposed algorithm during rainfall events.

关键词： Atmospheric attenuation millimeter-wave radio propagation meteorological impact radio resource management adaptive modulation and coding 5G

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A learning approach to link adaptation based on multi-entities Bayesian network

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2019年第4-Sup期22卷 S8463-S8473页

作者： Zhang, Cui Lei, Xia Yuan, Yannan Song, Lijun Univ Elect Sci & Technol China Natl Key Lab Sci & Technol Commun Chengdu Sichuan Peoples R China Chengdu Univ Informat Technol Coll Commun Engn Chengdu Sichuan Peoples R China

adaptive modulation and coding (AMC) is widely used in modern communications which attempts to predict the best available rate and select the most suitable modulation and coding scheme (MCS) by estimating the real-time channel quality to obtain higher throughput of communication system. However, due to the characteristics of wireless channel fading, there are a lot of uncertainties in the communication process, which makes deviation between the channel estimate and the true value and can affect performance of AMC system. Bayesian network is an important tool to research uncertainty. This paper considers learning with the multi-entities bayesian network (MEBN) as a new framework for adaptive modulation and coding which avoids the flaw of flexibility in traditional Bayesian network (BN). Simulation results show that our algorithm has more validity in the selection MCS and lower bit error rate (BER) by considering estimate deviation in MEBN-AMC system. We also provide the further simulation results by using Bayesian structure learning and parameter learning.

关键词： adaptive modulation and coding Multi-entities Bayesian network Learning framework

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