172 citations · 1.4k across the 82 of their papers we have counts for
24 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…
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…
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…
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…
A High Reliability Asymptotic Approach for Packet Inter-Delivery Time Optimization in Cyber-Physical Systems
Xueying Guo, Rahul Singh, P. R. Kumar +1
In cyber-physical systems such as automobiles, measurement data from sensor nodes should be delivered to other consumer nodes such as actuators in a regular fashion. But, in practi…
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…
Energy Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds with Hybrid Receivers
Zheng Chang, Jie Gong, Tapani Ristaniemi +1
In this paper, we study the resource allocation and user scheduling algorithm for minimizing the energy cost of data transmission in the context of OFDMA collaborative mobile cloud…
Energy-Delay Tradeoffs of Virtual Base Stations With a Computational-Resource-Aware Energy Consumption Model
Tao Zhao, Jian Wu, Sheng Zhou +1
The next generation (5G) cellular network faces the challenges of efficiency, flexibility, and sustainability to support data traffic in the mobile Internet era. To tackle these ch…
MU-MIMO MAC Protocols for Wireless Local Area Networks: A Survey
Ruizhi Liao, Boris Bellalta, Miquel Oliver +1
As wireless devices boom, and bandwidth-hungry applications (e.g., video and cloud uploading) get popular, today's Wireless Local Area Networks (WLANs) become not only crowded but…
Software Defined Radio Implementation of Signaling Splitting in Hyper-Cellular Network
Tao Zhao, Pengkun Yang, Huimin Pan +3
This paper presents the design and implementation of signaling splitting scheme in hyper-cellular network on a software defined radio platform. Hyper-cellular network is a novel ar…