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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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樓主: legerdemain
31#
發(fā)表于 2025-3-26 21:56:47 | 只看該作者
Fahrzeugreifen und Fahrwerkentwicklungelationships among the subcarriers phase and combine the center subcarrier phase to estimate the distance. In our algorithm, we can complete the distance measurement by using only one frequency band. Experiment results indicate that our algorithm can achieve centimeter-level accuracy in distance measurement.
32#
發(fā)表于 2025-3-27 01:31:52 | 只看該作者
An Efficient Resource Allocation Algorithm for LTE Uplink VMIMO Systems1 pivot (SM_BD0-1P) is proposed. We evaluate the proposed joint resource allocation algorithms in LTE uplink scenarios and the results show that it achieves good tradeoff between performance and complexity and has better system throughput than the existing algorithms for LTE uplink virtual MIMO systems.
33#
發(fā)表于 2025-3-27 07:20:27 | 只看該作者
34#
發(fā)表于 2025-3-27 13:03:55 | 只看該作者
Distance Measurement Based on Linear Phase Correlation in WiFi CSIelationships among the subcarriers phase and combine the center subcarrier phase to estimate the distance. In our algorithm, we can complete the distance measurement by using only one frequency band. Experiment results indicate that our algorithm can achieve centimeter-level accuracy in distance measurement.
35#
發(fā)表于 2025-3-27 14:32:51 | 只看該作者
Sparse Decomposition Algorithm Based on Joint Sparse Modelnding joint sparse decomposition algorithms, named JSM1-OMP and JSM2-OMP. The JSM2-OMP algorithm can be viewed as improvement of the JSM1-OMP algorithm. Furthermore, a better JSM-OMP algorithm is proposed by modifying the JSM2-OMP algorithm. The simulation experiments demonstrate the effectiveness of the proposed algorithms.
36#
發(fā)表于 2025-3-27 19:44:14 | 只看該作者
Deep Learning-Based Space Shift Keying Systemson for antenna index and formulate the overall pipeline using deep learning techniques. Moreover, our implementation can be adopted in several noise conditions successfully. Results confirm that our model outperforms the maximum likelihood (ML) detection scheme in terms of block error rates (BLER).
37#
發(fā)表于 2025-3-28 00:12:17 | 只看該作者
Conference proceedings 2019on, cognitive radio, internet of things, big data, communication system, pattern recognition, channel model, beamforming, signal processing, 5G, mobile management, resource management, wireless position..
38#
發(fā)表于 2025-3-28 04:44:59 | 只看該作者
39#
發(fā)表于 2025-3-28 09:54:06 | 只看該作者
40#
發(fā)表于 2025-3-28 14:17:25 | 只看該作者
Gisbert Lechner,Harald Naunheimernding joint sparse decomposition algorithms, named JSM1-OMP and JSM2-OMP. The JSM2-OMP algorithm can be viewed as improvement of the JSM1-OMP algorithm. Furthermore, a better JSM-OMP algorithm is proposed by modifying the JSM2-OMP algorithm. The simulation experiments demonstrate the effectiveness of the proposed algorithms.
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