Yang Yang

Yang Yang
General Electric | GE · SYSTEM

About

256
Publications
40,435
Reads
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6,589
Citations
Citations since 2016
142 Research Items
4613 Citations
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201620172018201920202021202202004006008001,000
201620172018201920202021202202004006008001,000

Publications

Publications (256)
Article
With the development of next-generation wireless networks, the Internet of Things (IoT) is evolving towards the intelligent IoT (iIoT), where intelligent applications usually have stringent delay and jitter requirements. In order to provide low-latency services to heterogeneous users in the emerging iIoT, multi-tier computing was proposed by effect...
Article
A fundamental issue in multiaccess edge computing (MEC) is efficiently offloading multiple tasks to multiple helper nodes (MTMH), i.e., MEC servers. However, most of the existing decentralized schemes do not consider interuser interference or merely adopt time division multiple access (TDMA) as the multiple access scheme for MTMH in the heterogeneo...
Article
Full-text available
Local and customized services are realized with new type computing architecture by utilizing the spare resources distributed on the helper nodes (HNs) throughout the network. The heterogeneity of mobile edge and fog computing networks makes them natural to support multitarget tasks, and efficient task scheduling is always a fundamental and hot issu...
Article
The wireless-enabled Industrial Internet of Things (IIoT) system is promising due to its flexibility and cable-free deployment. The varying fading channel will lead to the random transmission delays and jitters, which are the major challenges hindering the adoption of wireless communication in mission-critical industrial systems. The performance or...
Preprint
With the development of next-generation wireless networks, the Internet of Things (IoT) is evolving towards the intelligent IoT (iIoT), where intelligent applications usually have stringent delay and jitter requirements. In order to provide low-latency services to heterogeneous users in the emerging iIoT, multi-tier computing was proposed by effect...
Preprint
Mobile communication standards were developed for enhancing transmission and network performance by utilizing more radio resources and improving spectrum and energy efficiency. How to effectively address diverse user requirements and guarantee everyone's Quality of Experience (QoE) remains an open problem. The future Sixth Generation (6G) system ca...
Article
In this paper, a massive multiple-input multiple-output (MIMO) relay assisted multi-tier computing (MC) system is employed to enhance the task computation. We investigate the joint design of the task scheduling, service caching and power allocation to minimize the total task scheduling delay. To this end, we formulate a robust non-convex optimizati...
Article
As the multiple-input–multiple-output (MIMO) technologies are increasingly emerging in the arena of modern wireless systems, their cost-effective and efficient over-the-air (OTA) performance verification under arbitrary fading channels, especially, for high-volume beam-reconfigurable product verifications, play a crucial role toward their technolog...
Article
Mobile communication standards were developed for enhancing transmission and network performance by using more radio resources and improving spectrum and energy efficiency. How to effectively address diverse user requirements and guarantee everyone's Quality of Experience (QoE) remains an open problem. The Sixth Generation (6G) mobile systems will...
Article
With the rapid development of edge data intelligence, Task Offloading (TO) and Resource Allocation (RA) optimization in multi-access edge computing networks can significantly improve the Quality of Service (QoS). However, for the online scenario, traditional methods (e.g. game theory and numerical methods) cannot adapt to dynamic environments. Deep...
Article
This paper investigates the task offloading problem in a hybrid intelligent reflecting surface (IRS) and massive multiple-input multiple-output (MIMO) relay assisted fog computing system, where multiple task nodes (TNs) offload their computational tasks to computing nodes (CNs) nearby massive MIMO relay node (MRN) and fog access node (FAN) via the...
Article
In satellite-terrestrial integrated networks, it is a common practice to schedule real-time tasks from low Earth orbit (LEO) satellites to ground stations (GSs) for data processing. However, the joint task scheduling and resource allocation under unknown environment dynamics (e.g., transmission latency) remains to be a challenging problem. First, t...
Article
Wireless networks have been widely utilized in industries, where wireless links are challenged by the severe nonstationary Rician fading channel, which requires online link quality estimation to support high-quality wireless services. However, most traditional Rician estimation approaches are designed for channel measurements and work only with non...
Article
Full-text available
In the past few years, the development of complex networks has stimulated great interest in the study of the principles and mechanisms underlying the Internet of things (IoT). Complex networks have led to significant advances in such an active research field and have been proposed to tackle the associated challenges. From a systematic perspective,...
Article
In fog-assisted IoT systems, it is a common practice to offload tasks from IoT devices to their nearby fog nodes to reduce task processing latencies and energy consumptions. However, the design of online energy-efficient scheme is still an open problem because of various uncertainties in system dynamics such as processing capacities and transmissio...
Article
For NFV systems, the key design space includes the function chaining for network requests and the resource scheduling for servers. The problem is challenging since NFV systems usually require multiple (often conflicting) design objectives and the computational efficiency of real-time decision making with limited information. Furthermore, the benefi...
Article
In fog-assisted Internet-of-Things systems, it is a common practice to cache popular content at the network edge to achieve high quality of service. Due to uncertainties, in practice, such as unknown file popularities, the cache placement scheme design is still an open problem with unresolved challenges: 1) how to maintain time-averaged storage cos...
Article
In fog computing systems, each fog node often maintains multiple interfaces to achieve simultaneous communications with end devices. To maximize the utilization of network capacities and avoid interference, a critical mission for each fog node is to allocate distinct channels to its interfaces, also known as multi-interface channel allocation , t...
Article
Full-text available
The fifth generation (5G) wireless communication networks are being deployed worldwide from 2020 and more capabilities are in the process of being standardized, such as mass connectivity, ultra-reliability, and guaranteed low latency. However, 5G will not meet all requirements of the future in 2030 and beyond, and sixth generation (6G) wireless com...
Article
For systems that are based on network function virtualization (NFV), it remains a key challenge to conduct effective service chain composition with the lowest request latency and the minimum network congestion. In such an NFV system, users are usually non-cooperative, i.e., they compete with each other to optimize their own benefits. However, exi...
Article
In software-defined networking (SDN) systems, it is a common practice to adopt a multi-controller design and control devolution techniques to improve the performance of the control plane. However, in such systems the decision-making for joint switch-controller association and control devolution often involves various uncertainties, e.g., the tempor...
Article
For wireless caching networks, the scheme design for content delivery is non-trivial in the face of the following tradeoff. On one hand, to optimize overall throughput, users can associate their nearby APs with great channel capacities; however, this may lead to unstable queue backlogs on APs and prolong request delays. On the other hand, to ensure...
Article
Most online service providers deploy their own data stream processing systems in the cloud to conduct large-scale and real-time data analytics. However, such systems, e.g., Apache Heron, often adopt naive scheduling schemes to distribute data streams (in the units of tuples) among processing instances, which may result in workload imbalance and sys...
Preprint
In fog-assisted IoT systems, it is a common practice to offload tasks from IoT devices to their nearby fog nodes to reduce task processing latencies and energy consumptions. However, the design of online energy-efficient scheme is still an open problem because of various uncertainties in system dynamics such as processing capacities and transmissio...
Preprint
For state-of-the-art network function virtualization (NFV) systems, it remains a key challenge to conduct effective service chain composition for different network services (NSs) with ultra-low request latencies and minimum network congestion. To this end, existing solutions often require full knowledge of the network state, while ignoring the priv...
Preprint
In Fog-assisted IoT systems, it is a common practice to cache popular content at the network edge to achieve high quality of service. Due to uncertainties in practice such as unknown file popularities, cache placement scheme design is still an open problem with unresolved challenges: 1) how to maintain time-averaged storage costs under budgets, 2)...
Preprint
In multi-tiered fog computing systems, to accelerate the processing of computation-intensive tasks for real-time IoT applications, resource-limited IoT devices can offload part of their workloads to nearby fog nodes, %with greater computation capacities, whereafter such workloads may be offloaded to upper-tier fog nodes with greater computation cap...
Preprint
Stream processing engines enable modern systems to conduct large-scale analytics over unbounded data streams in real time. They often view an application as a direct acyclic graph with streams flowing through pipelined instances of various processing units. One key challenge that emerges is instance placement, i.e., to decide the placement of insta...
Preprint
Most online service providers deploy their own data stream processing systems in the cloud to conduct large-scale and real-time data analytics. However, such systems, e.g., Apache Heron, often adopt naive scheduling schemes to distribute data streams (in the units of tuples) among processing instances, which may result in workload imbalance and sys...
Preprint
For wireless caching networks, the scheme design for content delivery is non-trivial in the face of the following tradeoff. On one hand, to optimize overall throughput, users can associate their nearby APs with great channel capacities; however, this may lead to unstable queue backlogs on APs and prolong request delays. On the other hand, to ensure...
Preprint
For NFV systems, the key design space includes the function chaining for network requests and resource scheduling for servers. The problem is challenging since NFV systems usually require multiple (often conflicting) design objectives and the computational efficiency of real-time decision making with limited information. Furthermore, the benefits o...
Preprint
In software-defined networking (SDN) systems, it is a common practice to adopt a multi-controller design and control devolution techniques to improve the performance of the control plane. However, in such systems, the decision-making for joint switch-controller association and control devolution often involves various uncertainties, e.g., the tempo...
Article
Full-text available
Next-generation wireless communications are expected to provide reliable high-rate connectivity. The recent concept of fog-enabled architecture comes to rescue by invoking a substantial amount of data storage close to end-user devices for meeting these challenges. Thus, caching popular contents at heterogeneous devices, e.g., fog nodes~(FNs) or fog...
Article
The papers in this special section focus on wireless big data. Big data, which has been following the exponential growth rates in different commercial areas, has profoundly changed the way we live. It has received considerable attention in both academic and industrial communities, in contexts such as mobile communications, distributed computing, e-...
Article
Fog computing (FC) has the potential to process computation-intensive tasks in Industrial Internet of Things (IIoT) systems. In parallel with the development of FC, non-orthogonal multiple access (NOMA) has been recognized as a promising technique to significantly improve the spectrum efficiency. In this paper, a NOMA-based FC framework for IIoT sy...
Article
In this paper, an energy-efficient cross-layer design framework is proposed for cooperative relaying networks, which takes into account the influence of spectrum utilization probability. Specifically, random arrival traffic is considered and an adaptive modulation and coding (AMC) scheme is adopted in the cooperative transmission system to improve...
Preprint
The standardization process of the fifth generation (5G) wireless communications has recently been accelerated and the first commercial 5G services would be provided as early as in 2018. The increasing of enormous smartphones, new complex scenarios, large frequency bands, massive antenna elements, and dense small cells will generate big datasets an...
Preprint
Full-text available
In this paper, an energy-efficient cross-layer design framework is proposed for cooperative relaying networks, which takes into account the influence of spectrum utilization probability. Specifically, random arrival traffic is considered and an adaptive modulation and coding (AMC) scheme is adopted in the cooperative transmission system to improve...
Chapter
Wireless access points and nearby mobile devices usually possess some available computation and storage resources. In the prospective dense wireless networks, these resources could be sufficiently abundant due to a large number of devices. It is critical to investigate how to efficiently distribute the computation and storage burden of local equipm...
Article
Fog computing has been promoted to support delay-sensitive applications in future Internet of Things (IoT). For a general heterogeneous fog network consisting of many dispersive Fog Nodes (FNs), it may well happen that some of them have delay-sensitive tasks to process, i.e., Task Nodes (TNs), and some have spare resources to help the TNs to proces...
Article
Fog computing is a promising solution to enable delay-sensitive applications in the Internet of Things (IoT). In this paper, based on the simultaneous wireless information and power transfer (SWIPT) technology, we investigate the joint offloading of tasks and energy in fog-enabled IoT networks. Specifically, the task node is allowed to offload ener...
Chapter
For many fog-enabled application scenarios, such as multi-robot systems, wireless communication networks, intelligent transportation systems, and smart home, they can be generally modeled as Multi-Task Multi-Helper (MTMH) fog networks. Specifically, consider a general heterogeneous fog network consisting of different types of Fog Nodes (FNs), where...
Chapter
Robots are used widely in many fields now, such as earthquake rescue, smart factory, and so on. They bring us lots of convenience in daily lives, save huge manpower in factories, and help to complete many mission-possible tasks in some cases. For these applications, simultaneous localization and mapping (SLAM), efficient management, and collaborati...
Chapter
Fog computing is a horizontal, system-level architecture that distributes computing, storage, control, and networking functions closer to the users along a cloud-to-thing continuum. This chapter introduces the architecture and key enabling technologies of fog computing, as well as its latest development in standardization bodies and industrial cons...
Chapter
One typical fog-enabled intelligent IoT system is the smart home, where each smart appliance/device is able to connect to the Internet and carry out some computing tasks. Each appliance/device can be viewed as an IoT node. These IoT nodes form a local network. To enable the home to better understand the humans and subsequently respond correctly, an...
Chapter
Intelligent transportation system (ITS) helps to improve traffic efficiency and ensure traffic safety. The core of this system is the collection and analysis of sensor data and vehicle communication technologies. The challenges of ITS mainly focus on two aspects: computing and communication, while security and interoperability are the prerequisites...
Chapter
Wireless communication networks are experiencing an unprecedented traffic growth and an increasing variety of services, each with potentially different traffic patterns and quality of service (QoS) and/or quality of experience (QoE) requirements. To cope with the continuing traffic growth and service expanding, future wireless networks will have to...
Chapter
Internet of Things (IoT) is a technology that aims at providing connectivity for anything, by embedding short-range mobile transceivers into a wide array of additional gadgets and everyday items, enabling new forms of communication between people and things, and between things themselves. This chapter reviews key IoT technologies and several applic...
Book
This book first provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services. The authors give in-depth analyses of fog computing architecture and key technologies that fulfill the challenging requirements of enabling computing services anywhere along the cloud-to-thing co...
Chapter
This chapter presents a predictive scheduling model and develops the predictive multi‐tier operations scheduling (PMOS) algorithm, where the fog control node is assumed to be aware of users' future request information within a limited future time window. In addition, it addresses a cost model and the resulting cost‐minimization user‐scheduling prob...
Article
In multi-tiered fog computing systems, to accelerate the processing of computation-intensive tasks for real-time IoT applications, resource-limited IoT devices can offload part of their workloads to nearby fog nodes, whereafter such workloads may be offloaded to upper-tier fog nodes with greater computation capacities. Such hierarchical offloading,...
Article
Fog computing has the potential to liberate the computation-intensive mobile devices by task offloading. In this paper, we propose an online learning based task offloading algorithm for delay-sensitive applications in dynamic fog networks, which combines with the Combinatorial Multi-Armed Bandits (CMAB) framework. First, the proposed algorithm lear...