Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Yukiko Shimbo"'
Autor:
Hirofumi Suganuma, Yukiko Shimbo, Tomoki Maruko, Hiromichi Tomeba, Takashi Onodera, Fumiaki Maehara
Publikováno v:
IEEE Access, Vol 9, Pp 148449-148458 (2021)
Combining multi-user multiple-input and multiple-output (MU-MIMO) Tomlinson-Harashima precoding (THP) with semiorthogonal user selection (SUS) yields both space diversity and multi-user diversity benefits; however, it entails a significant computatio
Externí odkaz:
https://doaj.org/article/4f3064e7c44048cfac988420bddc29a3
Publikováno v:
IEICE Communications Express. 10:803-809
Autor:
Takashi Onodera, Hiromichi Tomeba, Fumiaki Maehara, Hirofumi Suganuma, Yukiko Shimbo, Tomoki Maruko
Publikováno v:
IEEE Access, Vol 9, Pp 148449-148458 (2021)
Combining multi-user multiple-input and multiple-output (MU-MIMO) Tomlinson-Harashima precoding (THP) with semiorthogonal user selection (SUS) yields both space diversity and multi-user diversity benefits; however, it entails a significant computatio
Autor:
Takashi Onodera, Ryota Mizutani, Hiromichi Tomeba, Fumiaki Maehara, Hirofumi Suganuma, Yukiko Shimbo
Publikováno v:
IEICE Communications Express. 9:117-122
Publikováno v:
ICAIIC
This paper proposes a deep-learning-based uplink hybrid multiple access scheme consisting of both sparse code multiple access (SCMA) and orthogonal frequency-division multiple access (OFDMA). SCMA improves the system throughput when the carrier-to-no
Publikováno v:
VTC Spring
This paper proposes a deep-learning-based resource allocation method to adaptively control system capacity and fairness for multi-user multiple-input and multiple-output (MU-MIMO). In the proposed method, Tomlinson-Harashima precoding (THP) is used t
Publikováno v:
VTC-Fall
This paper investigates the impact of the antenna arrangement, such as the centralized and distributed schemes, on the theoretical system capacity of multiuser multiple-input and multiple-output (MU-MIMO) systems in the presence of terminal mobility.
Publikováno v:
VTC Spring
This paper proposes an adaptive repetition control using terminal mobility to alleviate the packet collision for uplink grant-free (GF) ultra-reliable and low-latency communications (URLLC). In GF, the packet collision among mobile stations (MSs) bec
Publikováno v:
ICAIIC
This paper proposes a coordinated multi-point (CoMP) transmission method based on deep learning for taxi radio systems to prevent inter-cell interference (ICI). In CoMP, it is essential to select whether to use simultaneous transmission or time divis
Publikováno v:
ISPACS
This paper proposes a repetition control method using terminal mobility to alleviate the packet collision for uplink grant-free (GF) ultra-reliable and low-latency communications (URLLC). Because the time diversity benefit within repetitions is basic