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Titlebook: Artificial Intelligence for Communications and Networks; First EAI Internatio Shuai Han,Liang Ye,Weixiao Meng Conference proceedings 2019 I

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Dual-Mode OFDM-IM by Encoding All Possible Subcarrier Activation Patternser of 2, part of SAPs will not be used. This will result in low transmission efficiency and low bit error rate (BER) performance. We have proposed a new scheme namely bit-padding dual-mode orthogonal frequency division multiplexing (BPDM-OFDM). It exploits all of the possible SAPs to convey data to
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Energy Efficiency Optimization Based SWIPT in OFDM Relaying Systemsthis article, we integrate the cooperative relaying technology into a SWIPT-OFDM system, and focus on the system energy efficiency maximization problem. More specifically, the relay node uses the DF protocol to forward information from the base station to the user. The objective function is to maxim
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Sparse Decomposition Algorithm Based on Joint Sparse ModelSparse Model (JSM) of distributed compressive sensing. However, OMP algorithm suffers from high computational complexity and poor anti-noise ability without considering the correlation between signals. Therefore, by combining the characteristics of the JSM-1 and JSM-2 models, we propose the correspo
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Deep Learning-Based Space Shift Keying Systemsl in which an auto-encoder (AE) is developed to design proper constellations and corresponding demodulation. With full knowledge of channel statistics, the transmitter and receiver are jointly optimized in our scheme. By representing the SSK system as an AE, we consider the cross-entropy loss functi
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Joint Time-Frequency Diversity in the Context of Spread-Spectrum SystemsC) can add the synchronized tributary signals in the weighted approach to obtain the maximum diversity gain. The signal distortion caused by the Doppler shift broadened spectrum cannot be eliminated. The diversity receiver used in existing systems suffers from significant performance degradation due
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