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Deep-Learning Based Blind Recognition of Channel Code Parameters over Candidate Sets under AWGN and Multi-Path Fading Conditions [article]

Sepehr Dehdashtian, Matin Hashemi, Saber Salehkaleybar
2021 arXiv   pre-print
We consider the problem of recovering channel code parameters over a candidate set by merely analyzing the received encoded signals.  ...  We propose a deep learning-based solution that I) is capable of identifying the channel code parameters for any coding scheme (such as LDPC, Convolutional, Turbo, and Polar codes), II) is robust against  ...  II) It also works under any channel impairment settings, including AWGN, fading, or multi-path conditions.  ... 
arXiv:2009.07774v2 fatcat:ekccapr6xfajlo2dthn7finure

Table of contents

2021 IEEE Wireless Communications Letters  
Chambers 1036 Deep-Learning-Based Blind Recognition of Channel Code Parameters Over Candidate Sets Under AWGN and Multi-Path Fading Conditions . . . . . . . . . . . . . . . . . .  ...  Qisheng Wang, Xiao Li, Shi Jin, and Yijian Chen 1046 Accurate Performance Analysis of Reconfigurable Intelligent Surfaces Over Rician Fading Channels . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/lwc.2021.3074838 fatcat:cubrzihqdrhojjrbbo6ggufnqi

A Survey of Blind Modulation Classification Techniques for OFDM Signals

Anand Kumar, Sudhan Majhi, Guan Gui, Hsiao-Chun Wu, Chau Yuen
2022 Sensors  
The statistical-based blind MC includes likelihood-based (LB), maximum a posteriori (MAP) and feature-based methods (FB).  ...  ., statistical- and ML-based algorithms, under various constraints, which allows a fair comparison among different methodologies.  ...  Dobre, Memorial University, Canada for the precious help and suggestions. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s22031020 pmid:35161766 pmcid:PMC8840120 fatcat:aebc3apjtbbelaia6nhtjyu5sq

Deep Learning Empowered Semi-Blind Joint Detection in Cooperative NOMA

Ahmet Emir, Ferdi Kara, Hakan Kaya, Halim Yanikomeroglu
2021 IEEE Access  
Then, to reveal the robustness of the DLDet against different fading conditions, we use the offline-trained DLDet as an online detector over different fading channels (i.e., Nakagami-and Rician).  ...  ., 2 for Nakagami-and 2 for Rician). This proves the robustness of the DLDet and shows that the DLDet performs well regardless of the fading conditions once it is trained for any fading channel.  ...  For Rician fading channel, denotes the Rician factor (i.e., line-ofsight-to-multi-path power ratio) and Ω = [|ℎ | 2 ] is the scaling factor.  ... 
doi:10.1109/access.2021.3074350 fatcat:j4cuupqmgfa3tbcqahdrp2myia

Deep Learning Based Automatic Modulation Recognition: Models, Datasets, and Challenges [article]

Fuxin Zhang, Chunbo Luo, Jialang Xu, Yang Luo, FuChun Zheng
2022 arXiv   pre-print
and classification abilities of deep neural networks.  ...  Recent breakthroughs in deep learning (DL) have laid the foundation for developing high-performance DL-AMR approaches for communications systems.  ...  Acknowledgments This work was supported by the National Natural Science Foundation of China under grant 61871096, and part by the National Key R&D Program of China under grant 2018YFB2101300.  ... 
arXiv:2207.09647v1 fatcat:mcotsmsnuvb65l7ph5leevlou4

AMC2-Pyramid: Intelligent Pyramidal Feature Engineering and Multi-Distance Decision Making for Automatic Multi-Carrier Modulation Classification

Dhamyaa Husam AlNuaimi
2021 IEEE Access  
The modulation classification is implemented using amulti-distance-based nearest centroid classifier, and improved Q-learning is used to identify signals as any of 16QAM, 32QAM, 64QAM, 128QAM, QPSK, BPSK  ...  Then, quality augmentation is implemented with noise elimination, equalisation, quantisation and channel frequency offset compensation.  ...  From the cumulant features, a single-stage superfeature set is generated by using GP and then classified by the KNN algorithm. The overall work is tested under AWGN channel conditions.  ... 
doi:10.1109/access.2021.3115888 fatcat:ajq3o5puobgs7jsiepdru267ii

Deep Learning Aided Blind Synchronization Word Estimation

Yong-Sung Kil, Jun Min Song, Sang-Hyo Kim, Taesup Moon, Seok-Ho Chang
2021 IEEE Access  
INDEX TERMS Blind frame synchronization, deep learning, frame recognition, non-cooperative communication, synchronization word.  ...  To solve the problem, we propose a deep learning-aided blind SW estimation method where recurrent neural networks (RNNs) are used as a symbol predictor that predicts a symbol from an observation of preceding  ...  First, nonbinary modulation and bursty transmission can be considered for general application. The fading channel or multi-path channel can be considered as well.  ... 
doi:10.1109/access.2021.3058351 fatcat:ewbeiiqmrbcebbxpjjewzu7mzm

Sixty Years of Coherent Versus Non-coherent Tradeoffs and the Road from 5G to Wireless Futures

Chao Xu, Naoki Ishikawa, Rakshith Rajashekar, Shinya Sugiura, Robert G. Maunder, Zhaocheng Wang, Lie-Liang Yang, Lajos Hanzo.
2019 IEEE Access  
techniques and in other sophisticated channel coding assisted system designs, where powerful machine learning algorithms are expected to make autonomous decisions concerning the best mode of operation  ...  Striking a beneficial coherent versus non-coherent tradeoff is capable of reducing the pilot overheads of channel estimation, whilst relying on low-complexity detectors, especially in high-mobility scenarios  ...  Nonetheless, as shown in Fig. 37(a) , the SVM of supervised learning, the PCA of unsupervised learning, multi-armed bandit technique of reinforcement learning as well as the ANN and deep learning algorithms  ... 
doi:10.1109/access.2019.2957706 fatcat:ve6pihtjqzfbxhswohzpxjjjui

Differentiated Statistical QoS Guarantees for Real-Time CBR Services in Broadband Wireless Access Networks

Hong Zhou, Zhongwei Zhang
2010 2010 International Conference on Computational Intelligence and Software Engineering  
Wei 30604 A Metaheuristic Approach for the Frequency Assignment Problem Yuanyuan Zhang 30610 Combination of Turbo Code and Multi-channel Reception in Rayleigh Fading Environment Wang Jinpeng  ...  and Training Power Allocation for Channel Estimation of MIMO/OFDM Systems Using Superimposed Training Zhang Han 31210 Channel Capacity of MIMO Systems under Correlate Fading Environment Jun Wang  ... 
doi:10.1109/wicom.2010.5601439 fatcat:kaereulmjzhbdpknj727a4vuri

Design of large polyphase filters in the Quadratic Residue Number System

Gian Carlo Cardarilli, Alberto Nannarelli, Yann Oster, Massimo Petricca, Marco Re
2010 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers  
for optimal power and rate adaptation and channel inversion over fading channels with general distributions, as well as the capacity of the equivalent AWGN channel.  ...  Under the uniform bit allocation constraint, a set of necessary and sufficient conditions for FDGTD's coding gain optimality is derived.  ... 
doi:10.1109/acssc.2010.5757589 fatcat:ccxnu5owr5fyrcjcqukumerueq

Semantic Communications for 6G Future Internet: Fundamentals, Applications, and Challenges [article]

Wanting Yang, Hongyang Du, Ziqin Liew, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xuefen Chi, Xuemin Sherman Shen, Chunyan Miao
2022 arXiv   pre-print
In this paper, we first highlight the motivations and compelling reasons of SemCom in 6G. Then, we outline the major 6G visions and key enabler techniques which lay the foundation of SemCom.  ...  ., semantic-oriented communication, goal-oriented communication, and semantic-aware communication, and introduce three types of semantic metrics.  ...  These channel models have various parameters to represent the different conditions of the wireless environment, such as the strength of the shadow effect and the multi-path effect.  ... 
arXiv:2207.00427v1 fatcat:uju2oufi25d7jdyh7zynjvbsii

Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks [article]

Jingjing Wang and Chunxiao Jiang and Haijun Zhang and Yong Ren and Kwang-Cheng Chen and Lajos Hanzo
2020 arXiv   pre-print
Hence, in this article, we review the thirty-year history of ML by elaborating on supervised learning, unsupervised learning, reinforcement learning and deep learning.  ...  Machine learning (ML) algorithms have great success in supporting big data analytics, efficient parameter estimation and interactive decision making.  ...  The conditional distribution of y under the condition of x x x obeys a Bernoulli distribution.  ... 
arXiv:1902.01946v2 fatcat:7bveg6rmjfga5mftdkr3mst2qa

A Journey from Improper Gaussian Signaling to Asymmetric Signaling

Sidrah Javed, Osama Amin, Basem Shihada, Mohamed-Slim Alouini
2020 IEEE Communications Surveys and Tutorials  
This dual-flavored article initially presents the tutorial base content covering the interplay of reality/complexity, propriety/impropriety and circularity/noncircularity and then surveys majority of the  ...  As such, the theory of impropriety has vast applications in medicine, geology, acoustics, optics, image and pattern recognition, computer vision, and other numerous research fields with our main focus  ...  Furthermore, channel coding with simple block/trellis coding can render coding gains of the order of 3dB [247] . 5) Deep Learning: Although communications field has matured over time, however there  ... 
doi:10.1109/comst.2020.2989626 fatcat:zyno7ku6n5eqnp6rrcopczb4qu

Implementation of Fog computing for reliable E-health applications

Razvan Craciunescu, Albena Mihovska, Mihail Mihaylov, Sofoklis Kyriazakos, Ramjee Prasad, Simona Halunga
2015 2015 49th Asilomar Conference on Signals, Systems and Computers  
Specifically, we introduce a concept for sparse joint activity, channel and data detection in the context of the Coded ALOHA (FDMA) protocol.  ...  The final evaluation is done with computer simulation of a multi-cell system.  ...  The set identifies the order of continuoustime FSK in the joint presence of carrier offset, asynchronous sampling and symbol intervals, correlated fast fading and AWGN.  ... 
doi:10.1109/acssc.2015.7421170 dblp:conf/acssc/CraciunescuMMKP15 fatcat:qm6mki5z6bcvrfimkmqjyrxaxm

Twelve Scientific Challenges for 6G: Rethinking the Foundations of Communications Theory [article]

Marwa Chafii, Lina Bariah, Sami Muhaidat, Merouane Debbah
2022 arXiv   pre-print
In particular, for multi-agent systems, where agents are collaborating together to achieve a complex task, emergent communications, instead of hard coded communications, can be learned for more efficient  ...  To this end, the entire communication chain needs to be optimized, including the channel and the surrounding environment, as it is no longer sufficient to control the transmitter and/or the receiver only  ...  Recall that the main purpose of channel coding is to maintain the needed reliability and QoS constraints, even under severe channel conditions.  ... 
arXiv:2207.01843v2 fatcat:64xpsgsslfg2zntv2nvhxev3aa
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