Takayuki Nishio
Takayuki Nishio
School of Engineering, Tokyo Tech
Verified email at ict.e.titech.ac.jp - Homepage
Title
Cited by
Cited by
Year
Client selection for federated learning with heterogeneous resources in mobile edge
T Nishio, R Yonetani
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-7, 2019
2572019
Service-oriented heterogeneous resource sharing for optimizing service latency in mobile cloud
T Nishio, R Shinkuma, T Takahashi, NB Mandayam
Proceedings of the first international workshop on Mobile cloud computing …, 2013
1742013
Adaptive resource discovery in mobile cloud computing
W Liu, T Nishio, R Shinkuma, T Takahashi
Computer Communications 50, 119-129, 2014
522014
Hybrid-FL for wireless networks: Cooperative learning mechanism using non-IID data
N Yoshida, T Nishio, M Morikura, K Yamamoto, R Yonetani
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-7, 2020
32*2020
Extreme URLLC: Vision, challenges, and key enablers
J Park, S Samarakoon, H Shiri, MK Abdel-Aziz, T Nishio, A Elgabli, ...
arXiv preprint arXiv:2001.09683, 2020
312020
Proactive received power prediction using machine learning and depth images for mmWave networks
T Nishio, H Okamoto, K Nakashima, Y Koda, K Yamamoto, M Morikura, ...
IEEE Journal on Selected Areas in Communications 37 (11), 2413-2427, 2019
252019
Proactive base station selection based on human blockage prediction using RGB-D cameras for mmWave communications
Y Oguma, R Arai, T Nishio, K Yamamoto, M Morikura
2015 IEEE Global Communications Conference (GLOBECOM), 1-6, 2015
222015
Proactive handover based on human blockage prediction using RGB-D cameras for mmWave communications
Y Oguma, T Nishio, K Yamamoto, M Morikura
IEICE Transactions on Communications 99 (8), 1734-1744, 2016
182016
Machine-learning-based throughput estimation using images for mmWave communications
H Okamoto, T Nishio, M Morikura, K Yamamoto, D Murayama, K Nakahira
2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-6, 2017
172017
Experimental investigation of co-channel and adjacent channel operations of microwave power and IEEE 802.11 g data transmissions
N Imoto, S Yamashita, T Ichihara, K Yamamoto, T Nishio, M Morikura, ...
IEICE Transactions on Communications 97 (9), 1835-1842, 2014
172014
Recurrent neural network-based received signal strength estimation using depth images for mmWave communications
H Okamoto, T Nishio, M Morikura, K Yamamoto
2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC …, 2018
142018
Handover management for mmwave networks with proactive performance prediction using camera images and deep reinforcement learning
Y Koda, K Nakashima, K Yamamoto, T Nishio, M Morikura
IEEE Transactions on Cognitive Communications and Networking 6 (2), 802-816, 2019
13*2019
Reinforcement learning based predictive handover for pedestrian-aware mmWave networks
Y Koda, K Yamamoto, T Nishio, M Morikura
IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops …, 2018
132018
Novel coexistence scheme between wireless sensor network and wireless LAN for HEMS
F Inoue, M Morikura, T Nishio, K Yamamoto, F Nuno, T Sugiyama
2013 IEEE International Conference on Smart Grid Communications …, 2013
122013
Analysis of inversely proportional carrier sense threshold and transmission power setting
K Yamamoto, X Yang, T Nishio, M Morikura, H Abeysekera
2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC …, 2017
112017
Proactive traffic control based on human blockage prediction using RGBD cameras for millimeter-wave communications
T Nishio, R Arai, K Yamamoto, M Morikura
2015 12th Annual IEEE Consumer Communications and Networking Conference …, 2015
11*2015
Implementation and feasibility study of co-channel operation system of microwave power transmissions to IEEE 802.11-based batteryless sensor
S Yamashita, N Imoto, T Ichihara, K Yamamoto, T Nishio, M Morikura, ...
IEICE Transactions on Communications 97 (9), 1843-1852, 2014
112014
Deep reinforcement learning-based channel allocation for wireless lans with graph convolutional networks
K Nakashima, S Kamiya, K Ohtsu, K Yamamoto, T Nishio, M Morikura
IEEE Access 8, 31823-31834, 2020
102020
Measurement method of temporal attenuation by human body in off-the-shelf 60 GHz WLAN with HMM-based transmission state estimation
Y Koda, K Yamamoto, T Nishio, M Morikura
Wireless Communications and Mobile Computing 2018, 2018
102018
Knowledge-based reestablishment of primary exclusive region in database-driven spectrum sharing
S Yamashita, K Yamamoto, T Nishio, M Morikura
IEICE Transactions on Communications 99 (9), 2019-2027, 2016
92016
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Articles 1–20