找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
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.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-16 06:25
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
正蓝旗| 施秉县| 恩施市| 武穴市| 清苑县| 攀枝花市| 江陵县| 上思县| 石嘴山市| 黔西县| 从江县| 南开区| 鸡泽县| 辽源市| 扬中市| 易门县| 泸州市| 成都市| 黄骅市| 泊头市| 乐平市| 杨浦区| 互助| 渭源县| 美姑县| 信宜市| 福州市| 淳安县| 衡东县| 方山县| 安宁市| 太康县| 太仓市| 图木舒克市| 卓尼县| 重庆市| 井陉县| 黔西县| 新营市| 竹山县| 兴义市|