activity
20162023
most citedQoS-aware User Grouping Strategy for Downlink Multi-Cell NOMA Systems

37 citations · 91 across the 32 of their papers we have counts for

collaborators

32 papers

cs.IT2023★ 1 cited

Achievable Sum Rate Optimization on NOMA-aided Cell-Free Massive MIMO with Finite Blocklength Coding

Baolin Chong, Hancheng Lu, Yuang Chen +2

Non-orthogonal multiple access (NOMA)-aided cell-free massive multiple-input multiple-output (CFmMIMO) has been considered as a promising technology to fulfill strict quality of se…

cs.IT2023★ 2 cited

Streaming 360-degree VR Video with Statistical QoS Provisioning in mmWave Networks from Delay and Rate Perspectives

Yuang Chen, Hancheng Lu, Langtian Qin +2

Millimeter-wave(mmWave) technology has emerged as a promising enabler for unleashing the full potential of 360-degree virtual reality (VR). However, the explosive growth of VR serv…

eess.SP2023

Statistical QoS Provisioning Analysis and Performance Optimization in xURLLC-enabled Massive MU-MIMO Networks: A Stochastic Network Calculus Perspective

Yuang Chen, Hancheng Lu, Langtian Qin +2

In this paper, fundamentals and performance tradeoffs of the neXt-generation ultra-reliable and low-latency communication (xURLLC) are investigated from the perspective of stochast…

cs.IT2022

Analysis and Optimization of Cache-Enabled mmWave HetNets with Integrated Access and Backhaul

Chenwu Zhang, Hancheng Lu, Zhuojia Gu

In milimeter wave heterogenous networks with integrated access and backhaul (mABHetNets), a considerable part of spectrum resources are occupied by the backhaul link, which limits…

cs.IT2021

IMRecoNet: Learn to Detect in Index Modulation Aided MIMO Systems with Complex Valued Neural Networks

Chenwu Zhang, Hancheng Lu, Jinxue Liu

Index modulation (IM) reduces the power consumption and hardware cost of the multiple-input multiple-output (MIMO) system by activating part of the antennas for data transmission.…

cs.NI2021★ 1 cited

Horizontal and Vertical Collaboration for VR Delivery in MEC-Enabled Small-Cell Networks

Zhuojia Gu, Hancheng Lu, Chenkai Zou

Due to the large bandwidth, low latency and computationally intensive features of virtual reality (VR) video applications, the current resource-constrained wireless and edge networ…

cs.NI2021★ 7 cited

Routing in Small Satellite Networks: A GNN-based Learning Approach

Mengjie Liu, Jian Li, Hancheng Lu

Small satellite networks (SSNs), which are constructed by large number of small satellites in low earth orbits (LEO), are considered as promising ways to provide ubiquitous Interne…

cs.NI2021

NOMA Assisted Multi-MEC Offloading for IoVT Networks

Fengqian Guo, Hancheng Lu, Bo Li +2

Nowadays, Internet of Video Things (IoVT) grows rapidly in terms of quantity and computation demands. In spite of the higher local computation capability on visual processing compa…

cs.IT2021★ 37 cited

QoS-aware User Grouping Strategy for Downlink Multi-Cell NOMA Systems

Fengqian Guo, Hancheng Lu, Xiaoda Jiang +3

In multi-cell non-orthogonal multiple access (NOMA) systems, designing an appropriate user grouping strategy is an open problem due to diverse quality of service (QoS) requirements…

cs.IT2021

Joint Power and User Grouping Optimization in Cell-Free Massive MIMO Systems

Fengqian Guo, Hancheng Lu, Zhuojia Gu

To relieve the stress on channel estimation and decoding complexity in cell-free massive multiple-input multiple-output (MIMO) systems, user grouping problem is investigated in thi…

eess.SY2021

User-Centric Cooperative MEC Service Offloading

Ruoyun Chen, Hancheng Lu, Pengfei Ma

Mobile edge computing provides users with a cloud environment close to the edge of the wireless network, supporting the computing intensive applications that have low latency requi…

cs.NI2021

QoS-Driven Video Uplinking in NOMA-Based IoT

Pengfei Ma, Hancheng Lu, Ming Zhang +2

In recent years, with the explosive growth of visual sensors and a large number of related video applications in Internet of Things (IoT), massive video data is generated by IoT de…

cs.IT2020★ 2 cited

Joint Power Allocation and User Association Optimization for IRS-Assisted mmWave Systems

Dan Zhao, Hancheng Lu, Yazheng Wang +2

Intelligent reflect surface (IRS) is a potential technology to build programmable wireless environment in future communication systems. In this paper, we consider an IRS-assisted m…

cs.NI2020★ 2 cited

Reliability Enhancement for VR Delivery in Mobile-Edge Empowered Dual-Connectivity Sub-6 GHz and mmWave HetNets

Zhuojia Gu, Hancheng Lu, Peilin Hong +1

The reliability of current virtual reality (VR) delivery is low due to the limited resources on VR head-mounted displays (HMDs) and the transmission rate bottleneck of sub-6 GHz ne…

cs.NI2020★ 3 cited

Association and Caching in Relay-Assisted mmWave Networks: From A Stochastic Geometry Perspective

Zhuojia Gu, Hancheng Lu, Ming Zhang +2

Limited backhaul bandwidth and blockage effects are two main factors limiting the practical deployment of millimeter wave (mmWave) networks. To tackle these issues, we study the fe…

eess.SP2020

Energy Efficiency Optimization in IRS-Enhanced mmWave Systems with Lens Antenna Array

Yazheng Wang, Hancheng Lu, Dan Zhao +1

In millimeter wave (mmWave) systems, the advanced lens antenna array can effectively reduce the radio frequency chains cost. However, the mmWave signal is still vulnerable to block…

eess.SP2020★ 2 cited

Joint Passive Beamforming and User Association Optimization for IRS-assisted mmWave Systems

Dan Zhao, Hancheng Lu, Yazheng Wang +1

In this paper, we investigate an intelligent reflect surface (IRS) assisted multi-user millimeter wave (mmWave) downlink communication system, exploiting IRS to alleviate the block…

cs.NI2019

MSDF: A Deep Reinforcement Learning Framework for Service Function Chain Migration

Ruoyun Chen, Hancheng Lu, Yujiao Lu +1

Under dynamic traffic, service function chain (SFC) migration is considered as an effective way to improve resource utilization. However, the lack of future network information lea…

eess.SP2019★ 1 cited

IMNet: A Learning Based Detector for Index Modulation Aided MIMO-OFDM Systems

Jinxue Liu, Hancheng Lu

Index modulation (IM) brings the reduction of power consumption and complexity of the transmitter to classical multiple-input multiple-output orthogonal frequency division multiple…

cs.NI2019

Throughput Analysis in Cache-enabled Millimeter Wave HetNets with Access and Backhaul Integration

Chenwu Zhang, Hao Wu, Hancheng Lu +1

Recently, a mmWave-based access and backhaul integration heterogeneous networks (HetNets) architecture (mABHetNets) has been envisioned to provide high wireless capacity.Since the…

cs.NI2019★ 2 cited

Modeling and Performance Analysis in Cache-enabled Millimeter Wave HetNets with Access and Backhaul Integration

Hao Wu, Chenwu Zhang, Hancheng Lu +1

Recently, a mmWave-based access and backhaul integration HetNetsarchitecture (mABHetNets) has been envisioned to provide the high link capacity in both access and backhaul links. I…

cs.NI2019

Learning Deterministic Policy with Target for Power Control in Wireless Networks

Yujiao Lu, Hancheng Lu, Liangliang Cao +2

Inter-Cell Interference Coordination (ICIC) is a promising way to improve energy efficiency in wireless networks, especially where small base stations are densely deployed. However…

cs.NI2019★ 13 cited

On Throughput Optimization and Bound Analysis in Cache-Enabled Fiber-Wireless Networks

Zhuojia Gu, Hancheng Lu, Zuqing Zhu

With the dense deployment of millimeter wave (mmWave) front ends and popularization of bandwidth-intensive applications, shared backhaul in fiber-wireless (FiWi) networks is still…

eess.SP2019

Delay and Power Tradeoff with Consideration of Caching Capabilities in Dense Wireless Networks

Hao Wu, Hancheng Lu

Enabling caching capabilities in dense small cell networks (DSCNs) has a direct impact on file delivery delay and power consumption. Most existing work studied these two performanc…