Fumihide Kojima

TL;DR: The proposed beamforming protocol employs discrete phase-shifters, which significantly simplifies the structure of DEVs as compared to the conventional BF with phase-and-amplitude adjustment, at the expense of a gain degradation of less than 1 dB.

TL;DR: The proposed beamforming scheme is based on designed multi-resolution codebooks, which generate three kinds of patterns of different half power beam widths: quasi-omni pattern, sector and beam, and all the three stages can be completed within one superframe, which minimizes the potential interference to other systems during BF set-up period.

TL;DR: In this article, the authors discuss the challenges and benefits of adopting big data analytics, machine learning, and artificial intelligence in the next-generation communication systems and discuss the data sources and strong drivers for the adoption of the data analytics and the role of ML, Artificial Intelligence in making the system intelligent regarding being self-aware, self-adaptive, proactive and prescriptive.

TL;DR: This paper discusses the data sources and strong drivers for the adoption of the data analytics, and the role of ML, artificial intelligence in making the system intelligent regarding being self-aware, self-adaptive, proactive and prescriptive, and proposes a set of network design and optimization schemes concerning data analytics.

TL;DR: The proposed codebooks are a feasible design, they are the key basis of the beamforming protocol in 60GHz WPANs (IEEE 802.15.3c), and robust to phase shift errors.