activity
20152021
most citedThirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks

485 citations · 1.2k across the 16 of their papers we have counts for

collaborators

16 papers

cs.NI2021★ 7 cited

Customized Slicing for 6G: Enforcing Artificial Intelligence on Resource Management

Wanqing Guan, Haijun Zhang, Victor C. M. Leung

Next generation wireless networks are expected to support diverse vertical industries and offer countless emerging use cases. To satisfy stringent requirements of diversified servi…

cs.IT2020★ 5 cited

Energy Efficiency Optimization for NOMA UAV Network with Imperfect CSI

Haijun Zhang, Jianmin Zhang, Keping Long

Unmanned aerial vehicles (UAVs) are developing rapidly owing to flexible deployment and access services as air base stations. However, the channel errors of low-altitude communicat…

eess.SP2020★ 6 cited

Energy Efficient User Clustering, Hybrid Precoding and Power Optimization in Terahertz MIMO-NOMA Systems

Haijun Zhang, Haisen Zhang, Wei liu +3

Terahertz (THz) band communication has been widely studied to meet the future demand for ultra-high capacity. In addition, multi-input multi-output (MIMO) technique and non-orthogo…

eess.SP2019★ 2 cited

PAPR Reduction Using Iterative Clipping/Filtering and ADMM Approaches for OFDM-Based Mixed-Numerology Systems

Xiaoran Liu, Xiaoying Zhang, Lei Zhang +4

Mixed-numerology transmission is proposed to support a variety of communication scenarios with diverse requirements. However, as the orthogonal frequency division multiplexing (OFD…

cs.NI2019

Computation Resource Leasing for Priority Aggregation Local Computing Network

Chao Ren, Haijun Zhang, Jingze Hou +1

In large scale smart edge networks, computation resource is generally underutilized due to the uneven distribution of computation resource in time and space domain. This may corres…

cs.IT2019★ 1 cited

Performance Analysis of Fog-Aided D2D Networks with Multicast-Based Opportunistic Content Delivery

Xiaoshi Song, Mengying Yuan, Huan Zhou +1

In this paper, we develop a comprehensive and tractable analytical framework based on stochastic geometry to evaluate the performance of large-scale fog-aided device-to-device (F-D…