- Caching and Content Delivery
- Advanced MIMO Systems Optimization
- Cooperative Communication and Network Coding
- Opportunistic and Delay-Tolerant Networks
- Age of Information Optimization
- Satellite Communication Systems
- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Advanced Wireless Network Optimization
- Vehicular Ad Hoc Networks (VANETs)
- Energy Harvesting in Wireless Networks
- IoT Networks and Protocols
- Metamaterials and Metasurfaces Applications
- Distributed and Parallel Computing Systems
- UAV Applications and Optimization
- Plasmonic and Surface Plasmon Research
- Interconnection Networks and Systems
- Cognitive Functions and Memory
- Green IT and Sustainability
- Water resources management and optimization
- Water-Energy-Food Nexus Studies
- Advanced Computational Techniques and Applications
- Autonomous Vehicle Technology and Safety
- Antenna Design and Analysis
- Cloud Computing and Resource Management
Beihang University
2011-2025
Xinjiang Normal University
2025
Anhui Medical University
2024
Ningbo University
2024
Institute of Software
2020-2024
State Key Laboratory of Software Development Environment
2020-2024
Shandong University
2021-2024
Tianjin Medical University
2024
Shaanxi Coal Chemical Industry Technology Research Institute
2024
Lishui University
2024
This article proposes a software defined spaceair- ground integrated network architecture for supporting diverse vehicular services in seamless, efficient, and cost-effective manner. First, the motivations challenges integration of space-air-ground networks are reviewed. Second, with layered structure is presented. To protect legacy satellite, aerial, terrestrial segments, resources each segment sliced through slicing to achieve service isolation. Then available put into common dynamic...
VANETs enable information exchange among vehicles, other end devices and public networks, which plays a key role in road safety/infotainment, intelligent transportation systems, self-driving systems. As vehicular connectivity soars, new on-road mobile applications technologies emerge, are generating an ever-increasing amount of data, requiring fast reliable transmissions through VANETs. On the hand, variety related data can be analyzed utilized to improve performance In this article, we...
With files proactively stored at base stations (BSs), mobile edge caching enables direct content delivery without remote file fetching, which can reduce the end-to-end delay while relieving backhaul pressure. To effectively utilize limited cache size in practice, cooperative be leveraged to exploit diversity, by allowing users served multiple under emerging user-centric network architecture. This paper explores delay-optimal large-scale networks, where placement and cluster are optimized...
Mobile edge caching aims to enable content delivery within the radio access network, which effectively alleviates backhaul burden and reduces response time. To fully exploit storage resources, most popular contents should be identified cached. Observing that user demands on certain vary greatly at different locations, this paper devises location-customized schemes maximize total hit rate. Specifically, a linear model is used estimate future For case with zero-mean noise, ridge...
Mobile edge computing is beneficial for reducing service response time and core network traffic by pushing cloud functionalities to edge. Equipped with storage computation capacities, nodes can cache services of resource-intensive delay-sensitive mobile applications process the corresponding tasks without outsourcing central clouds. However, heterogeneity resource capacities mismatch make it difficult fully utilize both in absence cooperation. To address this issue, we consider cooperation...
Embedded with advanced sensors, cameras, and processors, the emerging automated driving vehicles are capable of sensing environment conducting automobile operation, paving way to modern intelligent transportation systems high safety efficiency. On other hand, vehicular communication networks (VCNs) connect vehicles, infrastructures, clouds, all devices modules, whereby can obtain local global information make operation decisions. Although sensing-based technologies VCNs have been...
In this paper, a dynamic radio resource slicing framework is presented for two-tier heterogeneous wireless network. Through software-defined networking-enabled network function virtualization, spectrum resources of networks are partitioned into different bandwidth slices base stations (BSs). This facilitates sharing among BSs and achieves differentiated quality-of-service (QoS) provisioning data service machine-to-machine in the presence load dynamics. To determine set optimal ratios...
In this paper, we propose a drone assisted radio access networks architecture in which drone-cells are leveraged to relay data between base stations and users. Based on the state-of-the-art drone-to-user drone-to-base station (D2B) channel models, first analyze user coverage D2B backhaul connection features of drone-cells. We then formulate 3-D drone-cell deployment problem with objective maximizing while maintaining link qualities, for given number cells being deployed. To solve problem,...
Space-air-ground integrated networks (SAGIN) extend the capability of wireless and will be essential building block for many advanced applications, like autonomous driving, earth monitoring, etc. However, coordinating heterogeneous physical resources is very challenging in such a large-scale dynamic network. In this paper, we propose reconfigurable service provisioning framework based on function chaining (SFC) SAGIN. SFC, network functions are virtualized data needs to flow through specific...
Utilizing the intelligence at network edge, edge computing paradigm emerges to provide time-sensitive services for Internet of Things. In this paper, we investigate sustainable computation offloading in an edge-computing system that consists energy harvesting-enabled mobile devices (MDs) and a dispatcher. The dispatcher collects tasks generated by IoT with limited power, offloads them resourceful MDs exchange rewards. We propose online Rewards-optimal Auction (RoA) optimize long-term...
Mobile edge computing is emerging as a new paradigm that provides enhanced experience to mobile users via low latency connections and augmented computation capacity. As the amount of user requests time-varying, while capacity hosts limited, Cloud Assisted Edge (CAME) framework introduced improve scalability platform. By outsourcing clouds with various types instances, CAME can accommodate dynamic diverse quality service requirements. In order provide guaranteed services at minimal system...
In this paper, an Air-Ground Integrated VEhicular Network (AGIVEN) architecture is proposed, where the aerial high-altitude platforms (HAPs) proactively push contents to vehicles through large-area broadcast, while ground roadside units (RSUs) provide high-rate unicast services on demand. To efficiently manage multi-dimensional heterogeneous resources, a service-oriented network slicing approach introduced, AGIVEN virtually divided into multiple slices and each slice supports specific...
Next generation (5G) wireless networks are expected to support massive data and accommodate a wide range of services/use cases with distinct requirements in cost-effective, flexible, agile manner. As promising solution, WNV, or network slicing, enables multiple virtual share common infrastructure on demand, be customized for different cases. This article focuses network-wide resource allocation realizing WNV. Specifically, the motivations, enabling platforms, benefits first reviewed. Then,...
With small cell base stations (SBSs) densely deployed in addition to conventional macro (MBSs), the heterogeneous cellular network (HCN) architecture can effectively boost capacity. To support huge power demand of HCNs, renewable energy harvesting technologies be leveraged. In this paper, we aim make efficient use harvested for on-grid saving while satisfying quality service (QoS) requirement. end, energy-aware traffic offloading schemes are proposed, whereby user associations, ON-OFF states...
Space–air–ground-integrated networks (SAGINs) are deemed as a promising solution to support multifarious Internet of Vehicles (IoV) services with diversified Quality-of-Service (QoS) requirements in future communication networks. Network function virtualization (NFV) and software-defined networking (SDN) two complementary technologies reduce the provisioning cost coordinate heterogeneous physical resources SAGIN. In this article, we investigate online dynamic virtual network (VNF) mapping...
Space information network (SIN) is a promising networking architecture to significantly broaden the observation area and realize continuous acquisition for earth observation. Over dynamic complex SIN environment, it key issue coordinate multi-dimensional heterogeneous resources (e.g., resource transmission resource) in presence of multi-resource variations severe conflicts, such that diverse service requirements can be satisfied. To this end, paper studies scheduling problem SINs....
SAGIN provides great strength in extending the capability of ground wireless networks. On other hand, with rich spectrum and computing resources, networks can also assist spaceair accomplishing resource-intensive or power-hungry missions, enhancing sustainability space-air Therefore, bidirectional mission offloading make full use advantages benefits both In this article, we identify key role network reconfiguration coordinating heterogeneous resources SAGIN, study how functions...
High-performance broadband photodetectors (PDs) are crucial in various military and civilian applications. However, conventional near-infrared (NIR) PDs still face several inevitable self-limitations such as a finite light absorption range for silicon (Si) large area array issues InGaAs. In response to these challenges, this work proposes high-performance uncooled NIR PD with wide-band long-term stability, which is integrated by the PbS quantum dots (QDs)/three-dimensional graphene...
Mobile edge computing is envisioned as a promising paradigm with the advantage of low latency. However, compared conventional mobile cloud computing, constrained in capacity, especially under scenario dense population. In this paper, we propose Cloud Assisted Edge (CAME) framework, which resources are leased to enhance system capacity. To balance tradeoff between delay and cost, workload scheduling outsourcing further devised. Specifically, analyzed by modeling CAME queuing network....
This paper studies spectrum sharing for providing better quality of experience in 5G networks, which are characterized by multidimensional heterogeneity terms spectrum, cells, and user requirements. Specifically, access, power allocation, scheduling jointly investigated an optimization problem is formulated with the objective maximizing users' satisfaction across network. In order to reduce complexity overhead, decentralized solutions local information required. To this end, we employ...
In this article, we investigate the cost-effective 5G-enabled vehicular networks to support emerging applications, such as autonomous driving, in-car infotainment and location-based road services. To end, self-sustaining caching stations (SCSs) are introduced liberate on-road base from constraints of power lines wired backhauls. Specifically, cache-enabled SCSs powered by renewable energy connected core through wireless backhauls, which can realize "drop-and-play" deployment, green...
An improved semi-empirical relationship for $\ensuremath{\alpha}$-decay half-lives is proposed by introducing a precise radius formula and an analytic expression preformation probability. By using the relationship, of 421 nuclei are calculated. It shown that accuracy this significantly compared to its predecessor. Further research shows it also reproduces experimental superheavy well. Last, with $Z=118--121$ isotopes predicted, which helpful future experiments. In addition, there prediction...
In this paper, we design dynamic probabilistic caching for the scenario when instantaneous content popularity may vary with time while it is possible to predict average over a window. Based on popularity, optimal probabilities can be found, e.g., from solving optimization problems, and existing results in literature implement via static placement. The objective of work that: i) converge (in distribution) under time-invariant ii) adapt time-varying popularity. Achieving above requires novel...