H
Hiroshi Harada
Researcher at Kyoto University
Publications - 374
Citations - 2672
Hiroshi Harada is an academic researcher from Kyoto University. The author has contributed to research in topics: Wireless & Cognitive radio. The author has an hindex of 24, co-authored 354 publications receiving 2485 citations. Previous affiliations of Hiroshi Harada include Denso & National Institute of Information and Communications Technology.
Papers
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Journal ArticleDOI
Exact Error Rate Analysis for Pulsed DS-and Hybrid DS/TH-CDMA in Nakagami Fading
TL;DR: A comparison of the results from the exact method with those from the standard Gaussian approximation reveals that the SGA becomes extremely optimistic for low-duty systems in lightly-faded channel, and fails to track several other system trade-offs.
Journal ArticleDOI
Enabling technologies for a practical wireless communication system operating in TV white space
Chin-Sean Sum,Gabriel Porto Villardi,Zhou Lan,Chen Sun,Yohannes D. Alemseged,Ha Nguyen Tran,Junyi Wang,Hiroshi Harada +7 more
TL;DR: The core system design addresses both PHY and MAC layer issues with realistic system considerations and is capable of supporting up to a typical throughput of 80Mbps, and a maximum number of 40 users, assuming all users performing the most bandwidth-hungry application in the use case scenario.
Proceedings ArticleDOI
Development of Wireless Emulator for Large-Scale IoT Applications
Hiroshi Harada,Hiroko Masaki +1 more
TL;DR: In this paper , the authors developed a wireless emulator that can evaluate various radio communication systems in cyberspace, without requiring actual radio devices, in addition to verifying transmission performance in an operation similar to actual operations.
Proceedings ArticleDOI
Feasibility study on spectrum sharing type cognitive radio system with outband pilot channel
TL;DR: In this paper, a spectrum sharing type cognitive radio system integrated with a dedicated radio system called out-of-band pilot channel (OPC) is proposed, which notifies the radio configuration information of cognitive base station (CBS), such as operational frequency and PHY/MAC parameters, to cognitive terminal (CT) so that the CT does not need to sense throughout a large range of potential frequency bands and immediately configure itself to connect to the CBS.