Saki Uemura
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Saki Uemura has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Hironori Ishikawa
NTT DoCoMo
1 shared publication - Kentaro Nishimori
Graduate School of Science and Technology, Niigata University
1 shared publication - Koshiro Kitao
Research Laboratories, NTT DOCOMO, Yokosuka, Kanagawa, Japan, 2390847
1 shared publication - Minoru Inomata
NTT Access Network Service Systems Laboratories, NTT Corporation, 1-1 Hikarino-oka, Yokosuka-shi, Kanagawa, Japan
1 shared publication - Ryotaro Taniguchi
Niigata University, Niigata, Japan
1 shared publication - Satoshi Suyama
NTT DOCOMO, Inc
1 shared publication
Latest Publications
- 19 February 2021
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Antennas and Wireless Propagation Letters
- Vol. 20 (5) , 703-707
Direction-of-Arrival Estimation With Circular Array Using Compressed Sensing in 20 GHz Band
The super-high-frequency (SHF) band is used in the 5th generation mobile communication system (5G), and the introduction of massive multiple-input multiple-output (MIMO) to 5G is being considered. In an environment with substantial propagation loss, such as that in the case of millimeter waves, massive MIMO can realize beamforming according to the position of terminal stations. Therefore, it is important to understand the direction of arrival of millimeter waves. In this paper, we clarify the relationship between power, delay time, and direction of arrival, while focusing on the horizontal direction, using a 48-element massive array in the 20-GHz band in urban Japan. In addition, we obtain direction of arrival estimation results using an iterative reduction threshold algorithm (ISTA), which is based on compressed sensing. It is shown that the dominant path can be estimated by using the ISTA even with approximately five elements.
- 19 February 2021
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Antennas and Wireless Propagation Letters
- Vol. 20 (5) , 703-707
Direction-of-Arrival Estimation With Circular Array Using Compressed Sensing in 20 GHz Band
The super-high-frequency (SHF) band is used in the 5th generation mobile communication system (5G), and the introduction of massive multiple-input multiple-output (MIMO) to 5G is being considered. In an environment with substantial propagation loss, such as that in the case of millimeter waves, massive MIMO can realize beamforming according to the position of terminal stations. Therefore, it is important to understand the direction of arrival of millimeter waves. In this paper, we clarify the relationship between power, delay time, and direction of arrival, while focusing on the horizontal direction, using a 48-element massive array in the 20-GHz band in urban Japan. In addition, we obtain direction of arrival estimation results using an iterative reduction threshold algorithm (ISTA), which is based on compressed sensing. It is shown that the dominant path can be estimated by using the ISTA even with approximately five elements.