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Yongjun Xu

Researcher at Chongqing University of Posts and Telecommunications

Publications -  97
Citations -  1494

Yongjun Xu is an academic researcher from Chongqing University of Posts and Telecommunications. The author has contributed to research in topics: Resource allocation & Optimization problem. The author has an hindex of 12, co-authored 89 publications receiving 644 citations. Previous affiliations of Yongjun Xu include Jilin University & Shandong University.

Papers
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Journal ArticleDOI

Robust Resource Allocation for Two-Tier HetNets: An Interference-Efficiency Perspective

Yongjun Xu, +6 more
TL;DR: In this article, the authors jointly optimize the transmit power of femtocell base stations and the subcarrier assignment factor to maximize the interference efficiency in a two-tier orthogonal frequency division multiple access (OFDMA) based HetNet.
Journal ArticleDOI

Outage-Constrained Energy Efficiency Maximization for RIS-Assisted WPCNs

Zhengnian Gao, +4 more
- 30 Jul 2021 - 
TL;DR: In this paper, the authors investigated robust resource allocation for reconfigurable intelligent surface (RIS)-assisted wireless-powered communication networks, where the RIS assists energy transfer from a multi-antenna power station (PS) to multiple wireless powered users (WPUs).
Proceedings ArticleDOI

Distributed Resource Allocation for Cognitive HetNets with Cross-Tier Interference Constraint

Yongjun Xu, +4 more
TL;DR: The rate maximization resource allocation problem for multiuser cognitive heterogeneous networks is formulated to flexibly use network resource and improve the overall capacity, which simultaneously considers cross-tier interference constraint and maximum transmit power of cognitive microcell base station.
Journal ArticleDOI

Optimal power allocation for multiuser OFDM-based cognitive heterogeneous networks

Yongjun Xu, +3 more
- 01 Sep 2017 - 
TL;DR: A sum-rate maximization based power allocation algorithm is proposed for a downlink cognitive HetNet with one macro-cell network and multiple microcell networks and results demonstrate the performance and effectiveness of the proposed algorithm by comparing with the equal power allocation scheme.
Journal ArticleDOI

Robust Power Control for Multiuser Underlay Cognitive Radio Networks Under QoS Constraints and Interference Temperature Constraints

Yongjun Xu, +1 more
- 01 Apr 2014 - 
TL;DR: A robust distributed power control algorithm for underlay CRNs is proposed that considers all possible parameter uncertainties: channel uncertainty and interference uncertainty and transforms the robust power control problem into a deterministic optimization one, which is solved by using Lagrange dual decomposition method.