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Yanpeng Dai
Researcher at Xidian University
Publications - 29
Citations - 433
Yanpeng Dai is an academic researcher from Xidian University. The author has contributed to research in topics: Spectral efficiency & Wireless network. The author has an hindex of 7, co-authored 21 publications receiving 229 citations. Previous affiliations of Yanpeng Dai include Dalian Maritime University.
Papers
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Journal ArticleDOI
Delay-Minimization Routing for Heterogeneous VANETs With Machine Learning Based Mobility Prediction
TL;DR: Simulation results demonstrate that the proposed centralized routing scheme outperforms others in terms of transmission delay, and the transmission performance of the proposed routing scheme is more robust with varying vehicle velocity.
Journal ArticleDOI
Joint Mode Selection and Resource Allocation for D2D-Enabled NOMA Cellular Networks
TL;DR: The interlay mode is developed as a special D2D mode for NOMA system, which enables the power domain multiplexing of the D1D pair and cellular users to eliminate the strong interference between them by the SIC decoding.
Journal ArticleDOI
Delay-Aware Computation Offloading in NOMA MEC Under Differentiated Uploading Delay
TL;DR: Simulation results show that the proposed scheme effectively mitigates co-channel interference under differentiated uploading delay of users and outperforms in reducing the users’ average offloading delay and increasing the number of users to offload tasks.
Proceedings ArticleDOI
Interference-aware resource allocation for D2D underlaid cellular network using SCMA: A hypergraph approach
TL;DR: This paper uses hypergraph to characterize the interference among cellular uplinks and D2D links when sparse code multiple access (SCMA) is applied as the multiple access strategy and proposes an Interference-Aware Hypergraph based Codebook Allocation (IAHCA) algorithm.
Proceedings ArticleDOI
Resource allocation in device-to-device communication underlaid cellular network using SCMA: An opportunistic approach
TL;DR: This paper incorporates SCMA into D2D communication underlaid cellular network, targeting at enhancing overall network performance, and shows via simulation results that the proposed strategy could yield performance enhancement over the conventional strategies in terms of system spectral efficiency.