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Aihua Wang
Researcher at Beijing Institute of Technology
Publications - 22
Citations - 346
Aihua Wang is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: MIMO & Telecommunications link. The author has an hindex of 7, co-authored 19 publications receiving 185 citations.
Papers
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Journal ArticleDOI
Deep Learning Aided Grant-Free NOMA Toward Reliable Low-Latency Access in Tactile Internet of Things
TL;DR: A variational optimization problem to improve the reliability of grant-free NOMA is formulated by parameterizing the intractable variational function with a specially designed deep neural network, which incorporates random user activation and symbol spreading.
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Uplink Nonorthogonal Multiple Access Technologies Toward 5G: A Survey
TL;DR: This paper analyzes the state-of-the-art NOMA schemes by comparing the operations applied at the transmitter, as well as the typical grant-free NomA schemes and the detection techniques, and envision the future research challenges deduced from the recently proposed N OMA technologies.
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On Constellation Rotation of NOMA With SIC Receiver
TL;DR: This letter exploits constellation rotation to enhance the performance of uplink non-orthogonal multiple access (NOMA) with a successive interference cancellation receiver and efficiently solves the entropy maximization problem by deriving an optimal closed-form approximate problem via variational approximation.
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Performance Analysis for Downlink MIMO-NOMA in Millimeter Wave Cellular Network with D2D Communications
TL;DR: The closed-form expressions for the outage probability and the ergodic capacity in downlink MIMO-NOMA mmWave cellular network with D2D communications are considered and indicate that NOMA outperforms TDMA.
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A review on non-terrestrial wireless technologies for Smart City Internet of Things:
TL;DR: This article conducts a comprehensive survey on non-terrestrial Internet of Things technologies for Smart City, which is an important complement to terrestrial Internet of things.