H
Hongbo Zhu
Researcher at Nanjing University of Posts and Telecommunications
Publications - 310
Citations - 4618
Hongbo Zhu is an academic researcher from Nanjing University of Posts and Telecommunications. The author has contributed to research in topics: MIMO & Telecommunications link. The author has an hindex of 24, co-authored 308 publications receiving 3184 citations. Previous affiliations of Hongbo Zhu include Nanjing University.
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Power Scaling of Uplink Massive MIMO Systems With Arbitrary-Rank Channel Means
TL;DR: It is found that regardless of the Ricean K-factor, in the case of perfect CSI, the approximations converge to the same constant value as the exact results, as the number of base station antennas grows large, while the transmit power of each user can be scaled down proportionally to 1/M.
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Noncoherent Detections for Ambient Backscatter System
TL;DR: A practical transmission model for an ambient backscatter system, where a tag wishes to send some low-rate messages to a reader with the help of an ambient RF signal source, and then provide fundamental studies of noncoherent symbol detection when all channel state information of the system is unknown is formulated.
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Blockchain for the IoT and industrial IoT: A review
TL;DR: The basic structure and main features of blockchain are introduced and the security requirements to develop IoT and Industry 4.0 are summarized and some recommendations are proposed to guide future blockchain researchers and developers.
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Outage Performance for Cooperative NOMA Transmission with an AF Relay
TL;DR: In this article, the outage performance of cooperative non-orthogonal multiple access (NOMA) network by adopting an amplify-and-forward relay was investigated and an accurate approximation for the outage probability was derived and then the asymptotic behaviors were investigated.
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Multi-Armed Bandit-Based Client Scheduling for Federated Learning
TL;DR: This work provides a multi-armed bandit-based framework for online client scheduling (CS) in FL without knowing wireless channel state information and statistical characteristics of clients and proposes a CS algorithm based on the UCB policy and virtual queue technique (CS-UCB-Q).