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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
21#
發(fā)表于 2025-3-25 05:46:39 | 只看該作者
22#
發(fā)表于 2025-3-25 07:32:45 | 只看該作者
Adaptive Beamforming of Vertical Frequency Diverse Array for Airborne Radaralso presented to generate a single-maximum beampattern. Simulation results verify the effectiveness. It shows that the proposed approach outperforms the multiple-input multiple-output (MIMO) radar in focusing the transmit energy on the far-field targets.
23#
發(fā)表于 2025-3-25 13:45:18 | 只看該作者
24#
發(fā)表于 2025-3-25 15:50:59 | 只看該作者
25#
發(fā)表于 2025-3-25 22:44:14 | 只看該作者
,Zusammenarbeit Motor – Getriebe,ulated problem, we provide an efficient algorithm to compute the optimal solution (i.e., the power allocations for the two users). Numerical results are provided to validate the effectiveness of our proposed algorithm and the performance of our optimal power allocation scheme.
26#
發(fā)表于 2025-3-26 00:56:01 | 只看該作者
27#
發(fā)表于 2025-3-26 08:19:48 | 只看該作者
Energy Efficiency Optimization Based SWIPT in OFDM Relaying Systemsen we propose an efficient policy to optimize the subcarrier and power allocation for obtaining the optimal energy efficiency. Simulation results show that the proposed algorithm can not only converge after several iterations, but also achieve higher energy efficiency.
28#
發(fā)表于 2025-3-26 09:47:35 | 只看該作者
29#
發(fā)表于 2025-3-26 15:30:30 | 只看該作者
Auslegung und Gestaltung von Wellen,1 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.
30#
發(fā)表于 2025-3-26 18:49:05 | 只看該作者
Fahrzeugreifen und Fahrwerkentwicklunge Q table. Each agent selects an RB and a power level according to its Q table in the learning process. Simulation results show that the proposed Q-learning based joint SA-PC algorithm can achieve good throughput performance.
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