AsNet: Antenna Selection Learning Network for Mobile Terminal Devices

Chia Hung Lin, Chao Kai Wen, Shi Jin, Wei Ho Chung, Ta-Sung Lee

研究成果: Conference contribution同行評審

摘要

Multiple-input multiple-output technology is now widely used in mobile devices to improve communication throughput. While additional antenna elements are cheap, RF elements are expensive and lead to high power consumption. Hence, interest is magnified in so-called antenna selection, where only a few out of all antenna elements are chosen. However, most existing antenna selection methods are too complex to be implemented on mobile devices. Industries are encouraged to use the maximum norm method, where the antennas that provide the largest power are selected. In this study, we propose AsNet, an antenna selection technique based on the data-driven deep learning approach. Given large volumes of training data, AsNet can automatically learn to select the best antennas efficiently. Surprisingly, AsNet can achieve similar performance to brute force method and the complexity is only slightly higher than that of random selection.

原文American English
主出版物標題ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁數5
ISBN(電子)9781728123455
DOIs
出版狀態Published - 11 12月 2019
事件2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, China
持續時間: 11 12月 201913 12月 2019

出版系列

名字ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

Conference

Conference2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
國家/地區China
城市Chongqing
期間11/12/1913/12/19

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