Y
Yoshiaki Tanaka
Researcher at Waseda University
Publications - 195
Citations - 1096
Yoshiaki Tanaka is an academic researcher from Waseda University. The author has contributed to research in topics: Xcast & Network topology. The author has an hindex of 15, co-authored 195 publications receiving 958 citations. Previous affiliations of Yoshiaki Tanaka include University of Tokyo & Nippon Telegraph and Telephone.
Papers
More filters
Journal ArticleDOI
Markov-Decision-Process-Assisted Consumer Scheduling in a Networked Smart Grid
TL;DR: This paper targets a networked smart grid system, in which future electricity generation is predicted with reasonable accuracy based on weather forecasts, and schedules consumers’ behaviors using a Markov decision process model to optimize the consumers' net benefits.
Journal ArticleDOI
A deep reinforcement learning based approach for cost- and energy-aware multi-flow mobile data offloading
TL;DR: In this article, a deep Q-network (DQN) based offloading algorithm was proposed to minimize the monetary cost and energy consumption of mobile users without a known mobility pattern.
Journal ArticleDOI
Fast-Start Video Delivery in Future Internet Architectures with Intra-domain Caching
TL;DR: A new caching policy for popularity-aware video caching in topology-aware CCN is designed and it is proposed to encode the video using scalable video coding (SVC) for fast-start video delivery and cache each video layer separately following the designed caching policies.
Journal ArticleDOI
JET: Joint source and channel coding for error resilient virtual reality video wireless transmission
TL;DR: This paper proposes JET: Joint source and channel coding for Error resilient virtual reality video wireless Transmission, where it jointly investigates how to conquer the problem of source video’s huge size, how to efficiently satisfy a user’'s view switch request and how to handle packet loss.
Journal ArticleDOI
Incentive Mechanism Design for Crowdsourcing-Based Indoor Localization
TL;DR: Two incentive mechanisms to stimulate mobile users (MUs) to contribute indoor trajectory data for crowdsourcing-based indoor localization with differential privacy to prevent MUs’ privacy leakage are proposed.