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Bing Zhao

Researcher at Penn State College of Communications

Publications -  21
Citations -  203

Bing Zhao is an academic researcher from Penn State College of Communications. The author has contributed to research in topics: Wireless sensor network & Communications satellite. The author has an hindex of 5, co-authored 21 publications receiving 92 citations.

Papers
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Journal ArticleDOI

Performance Analysis of NOMA-Based Cooperative Spectrum Sharing in Hybrid Satellite-Terrestrial Networks

TL;DR: Simulation results prove the superiority of NOMA comparing to conventional orthogonal multiple access (OMA) schemes on cooperative spectrum sharing in HSTNs and introduce Jain’s fairness index (JFI).
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Performance Analysis and Power Allocation for NOMA-Based Hybrid Satellite-Terrestrial Relay Networks With Imperfect Channel State Information

TL;DR: This paper derives the closed-form expressions and the asymptotic expressions at high signal-to-noise-ratios (SNR) region for the outage probability of each user and approximates the non-convex power allocation problem to a generalized linear fractional programming problem.
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On the Performance of Hybrid Satellite-Terrestrial Content Delivery Networks With Non-Orthogonal Multiple Access

TL;DR: This work investigates the performance of the HST-CD network with the NOMA scheme, where the satellite proactively pushes/broadcasts the popular contents to the cache-enabled relay, and then the user is able to directly retrieve the required content from the relay with less transmission delay.
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Multi-Controller Placement for Load Balancing in SDWAN

TL;DR: A low-complexity controller placement algorithm, Simulated Annealing Partition-based K-Means (SAPKM), towards SDWAN was proposed and demonstrated the effectiveness of SAPKM in reducing both average load and load balancing indices with propagation latency and network reliability performance enhanced simultaneously.
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Efficient and Fair Resource Allocation Scheme for Cognitive Satellite-Terrestrial Networks

TL;DR: This paper forms the optimization model of joint resource allocation with the perspective of efficiency and fairness, where the interference constraint is defined as the maximum tolerable interference outage probability of the incumbent terrestrial network (ITN).