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

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書目名稱Artificial Intelligence for Communications and Networks影響因子(影響力)




書目名稱Artificial Intelligence for Communications and Networks影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence for Communications and Networks網(wǎng)絡(luò)公開度




書目名稱Artificial Intelligence for Communications and Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Intelligence for Communications and Networks被引頻次




書目名稱Artificial Intelligence for Communications and Networks被引頻次學(xué)科排名




書目名稱Artificial Intelligence for Communications and Networks年度引用




書目名稱Artificial Intelligence for Communications and Networks年度引用學(xué)科排名




書目名稱Artificial Intelligence for Communications and Networks讀者反饋




書目名稱Artificial Intelligence for Communications and Networks讀者反饋學(xué)科排名

Irremediable

Gisbert Lechner,Harald Naunheimerrical results show that the performance can be considerably improved in the case of a large number of antennas over the conventional scheme. Furthermore, this algorithm also has better performance under traditional MIMO conditions.

不朽中國

https://doi.org/10.1007/978-3-658-21224-7 spread encountered in practice can be used for significant diversity gains by our approach. The framework is suitable for multiple mobile wireless multiple access systems and can provide significant performance improvements over existing systems.

Lipoprotein(A)

APEX

A精確的

Fahrzeugreifen und Fahrwerkentwicklungon results indicate that there is an optimal number of users which can minimize the performance deterioration. Moreover, the simulation results also show that slight deterioration in the throughput and energy efficiency of mmWave massive MIMO systems is caused by further decomposing the baseband pre

嬉耍

https://doi.org/10.1007/978-3-8348-9312-3ly adapt the marginal probability and the conditional probability through the weight adjustment, which can leverage the importance of the marginal and conditional distribution discrepancies. This paper aims at recognizing three types of aircrafts, which are B52, F15 and F16 aircrafts. The experiment

agnostic

Fahrzeugreifen und FahrwerkentwicklungTM-RSMFTF algorithm in comparison with conventional TM-NLMS algorithm and almost similar performances with full-size TM-SFTF in terms of various objectives criteria such as Segmental SNR, System Mismatch, Segmental MSE.

我正派

tinnitus

Research on UAV Swarm Interference Based on Improved Invasive Weed Optimization Algorithme problems are solved through sparse array synthesis, which use improved invasive weed optimization (IIWO) algorithm to optimize position of UAVs. And the simulation results show that sparse array synthesis can solve the problem of energy concentration and grating lobes.