Koshiro Kitao
Koshiro Kitao has a total of 17 co-authors. Here are the top co-authors by number of shared publications:
- Andreas F. Molisch
University of Southern California, Los Angeles, CA, USA
1 shared publication - Fredrik Tufvesson
Department of Electrical and Information Technology, Lund University, Lund, Sweden
1 shared publication - Hironori Ishikawa
NTT DoCoMo
1 shared publication - Jianhua Zhang
Beijing University of Posts and Telecommunications
1 shared publication - Kentaro Nishimori
Graduate School of Science and Technology, Niigata University
1 shared publication - Mansoor Shafi
Spark NZ, Auckland, New Zealand
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.
- 1 January 2020
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEICE Communications Express
- Vol. 9 (12) , 642-645
Study on path loss model for macrocell environment using percentage of area occupied by buildings for 5G
We propose a correction formula using the percentage of area occupied by buildings, alpha, for a path model in the urban macrocell environment defined in ITU-R M.2135 based on measurements performed in Japan for below 6 GHz for 5G. Based on analysis, the regression results of the correction formula in which S, the median of the difference between the measured path loss and that of the reference path model is proportional to alpha, is better than when S is proportional to the logarithm of alpha.
- 1 January 2020
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEICE Communications Express
- Vol. 9 (12) , 642-645
Study on path loss model for macrocell environment using percentage of area occupied by buildings for 5G
We propose a correction formula using the percentage of area occupied by buildings, alpha, for a path model in the urban macrocell environment defined in ITU-R M.2135 based on measurements performed in Japan for below 6 GHz for 5G. Based on analysis, the regression results of the correction formula in which S, the median of the difference between the measured path loss and that of the reference path model is proportional to alpha, is better than when S is proportional to the logarithm of alpha.
- 7 December 2018
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Communications Magazine
- Vol. 56 (12) , 12-13
Channel Models and Measurements for 5G
- 7 December 2018
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Communications Magazine
- Vol. 56 (12) , 12-13
Channel Models and Measurements for 5G