172 citations · 1.4k across the 92 of their papers we have counts for
26 papers · 1 filter
Optimizing Task-Specific Timeliness With Edge-Assisted Scheduling for Status Update
Jingzhou Sun, Lehan Wang, Zhaojun Nan +3
Intelligent real-time applications, such as video surveillance, demand intensive computation to extract status information from raw sensing data. This poses a substantial challenge…
MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks
Yuxuan Sun, Bowen Xie, Sheng Zhou +1
Edge intelligence is an emerging paradigm for real-time training and inference at the wireless edge, thus enabling mission-critical applications. Accordingly, base stations (BSs) a…
Edge Learning with Timeliness Constraints: Challenges and Solutions
Yuxuan Sun, Wenqi Shi, Xiufeng Huang +2
Future machine learning (ML) powered applications, such as autonomous driving and augmented reality, involve training and inference tasks with timeliness requirements and are commu…
Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-based Algorithm
Yuxuan Sun, Sheng Zhou, Zhisheng Niu
In a vehicular edge computing (VEC) system, vehicles can share their surplus computation resources to provide cloud computing services. The highly dynamic environment of the vehicu…
AoI-Delay Tradeoff in Mobile Edge Caching with Freshness-Aware Content Refreshing
Shan Zhang, Liudi Wang, Hongbin Luo +2
Mobile edge caching can effectively reduce service delay but may introduce information staleness, calling for timely content refreshing. However, content refreshing consumes additi…
Flexible Functional Split and Power Control for Energy Harvesting Cloud Radio Access Networks
Liumeng Wang, Sheng Zhou
Functional split is a promising technique to flexibly balance the processing cost at remote ends and the fronthaul rate in cloud radio access networks (C-RAN). By harvesting renewa…
Device Scheduling with Fast Convergence for Wireless Federated Learning
Wenqi Shi, Sheng Zhou, Zhisheng Niu
Owing to the increasing need for massive data analysis and model training at the network edge, as well as the rising concerns about the data privacy, a new distributed training fra…
Closed-Form Whittle's Index-Enabled Random Access for Timely Status Update
Jingzhou Sun, Zhiyuan Jiang, Bhaskar Krishnamachari +2
We consider a star-topology wireless network for status update where a central node collects status data from a large number of distributed machine-type terminals that share a wire…
Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning
Wenqi Shi, Yunzhong Hou, Sheng Zhou +3
Deep neural networks (DNNs) are state-of-the-art solutions for many machine learning applications, and have been widely used on mobile devices. Running DNNs on resource-constrained…
Bi-Directional Mission Offloading for Agile Space-Air-Ground Integrated Networks
Sheng Zhou, Guangchao Wang, Shan Zhang +3
Space-air-ground integrated networks (SAGIN) provide great strengths in extending the capability of ground wireless networks. On the other hand, with rich spectrum and computing re…
Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks
Sheng Zhou, Yuxuan Sun, Zhiyuan Jiang +1
Future vehicles will have rich computing resources to support autonomous driving and be connected by wireless technologies. Vehicular fog networks (VeFN) have thus emerged to enabl…
Energy Efficient Massive MIMO through Distributed Precoder Design
Shuai Zhang, Lu Liu, Yu Cheng +4
This paper presents an energy-efficient downlink precoding scheme with the objective of maximizing system energy efficiency in a multi-cell massive MIMO system. The proposed precod…
Energy-Sustainable Traffic Steering for 5G Mobile Networks
Shan Zhang, Ning Zhang, Sheng Zhou +4
Renewable energy harvesting (EH) technology is expected to be pervasively utilized in the next generation (5G) mobile networks to support sustainable network developments and opera…
Energy Efficient Mobile Edge Computing in Dense Cellular Networks
Lixing Chen, Sheng Zhou, Jie Xu
Merging Mobile Edge Computing (MEC), which is an emerging paradigm to meet the increasing computation demands from mobile devices, with the dense deployment of Base Stations (BSs),…
E2M2: Energy Efficient Mobility Management in Dense Small Cells with Mobile Edge Computing
Jie Xu, Yuxuan Sun, Lixing Chen +1
Merging mobile edge computing with the dense deployment of small cell base stations promises enormous benefits such as a real proximity, ultra-low latency access to cloud functiona…
Joint Optimization of Scheduling and Power Control in Wireless Networks: Multi-Dimensional Modeling and Decomposition
Lu Liu, Yu Cheng, Xianghui Cao +3
The energy efficiency of future networks is becoming a significant and urgent issue, calling for greener network designs. At the same time, rapid development of wireless networks s…
Towards Service-oriented 5G: Virtualizing the Networks for Everything-as-a-Service
Zheng Chang, Zhenyu Zhou, Sheng Zhou +2
It is widely acknowledged that the forthcoming 5G architecture will be highly heterogeneous and deployed with a high degree of density. These changes over the current 4G bring many…
Energy-Aware Traffic Offloading for Green Heterogeneous Networks
Shan Zhang, Ning Zhang, Sheng Zhou +4
With small cell base stations (SBSs) densely deployed in addition to conventional macro base stations (MBSs), the heterogeneous cellular network (HCN) architecture can effectively…
Software-Defined Hyper-Cellular Architecture for Green and Elastic Wireless Access
Sheng Zhou, Tao Zhao, Zhisheng Niu +1
To meet the surging demand of increasing mobile Internet traffic from diverse applications while maintaining moderate energy cost, the radio access network (RAN) of cellular system…
A Cooperative Scheduling Scheme of Local Cloud and Internet Cloud for Delay-Aware Mobile Cloud Computing
Tianchu Zhao, Sheng Zhou, Xueying Guo +2
With the proliferation of mobile applications, Mobile Cloud Computing (MCC) has been proposed to help mobile devices save energy and improve computation performance. To further imp…
A Block Regression Model for Short-Term Mobile Traffic Forecasting
Huimin Pan, Jingchu Liu, Sheng Zhou +1
Accurate mobile traffic forecast is important for efficient network planning and operations. However, existing traffic forecasting models have high complexity, making the forecasti…
Spatial Traffic Shaping in Heterogeneous Cellular Networks with Energy Harvesting
Shan Zhang, Sheng Zhou, Jie Gong +4
Energy harvesting (EH), which explores renewable energy as a supplementary power source, is a promising 5G technology to support the huge energy demand of heterogeneous cellular ne…
How Many Small Cells Can Be Turned off via Vertical Offloading under a Separation Architecture?
Shan Zhang, Jie Gong, Sheng Zhou +1
To further improve the energy efficiency of heterogeneous networks, a separation architecture called hyper-cellular network (HCN) has been proposed, which decouples the control sig…
HyCell: Enabling GREEN Base Station Operations in Software-Defined Radio Access Networks
Tao Zhao, Liumeng Wang, Xi Zheng +2
The radio access networks (RANs) need to support massive and diverse data traffic with limited spectrum and energy. To cope with this challenge, software-defined radio access netwo…