Yu-Jen Ku

ORCID: 0000-0002-6970-1257
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About
Contact & Profiles
Research Areas
  • IoT and Edge/Fog Computing
  • Vehicular Ad Hoc Networks (VANETs)
  • Advanced Neural Network Applications
  • Autonomous Vehicle Technology and Safety
  • Age of Information Optimization
  • Caching and Content Delivery
  • Green IT and Sustainability
  • Blockchain Technology Applications and Security
  • Image and Video Quality Assessment
  • IoT Networks and Protocols
  • Traffic control and management
  • Smart Grid Energy Management
  • Context-Aware Activity Recognition Systems
  • Transportation and Mobility Innovations
  • Energy Harvesting in Wireless Networks
  • IoT-based Smart Home Systems
  • Energy Efficient Wireless Sensor Networks

University of California, San Diego
2018-2023

National Taiwan University
2016-2017

Cloud-based wireless networking system applies centralized resource pooling to improve operation efficiency. Fog-based reduces latency by placing processing units in the network edge. Confluence of fog and cloud design paradigms 5G radio access will better support diverse applications. In this article, we describe recent advances (F-RAN) research, hybrid fog-cloud architecture, issues. Furthermore, GPP platform facilitates confluence computational communications processing. Through...

10.1109/mcom.2017.1600893 article EN IEEE Communications Magazine 2017-04-01

In this paper, we explore the feasibility of solar-powered road-side unit (SRSU)-assisted vehicular edge computing (VEC) system, where SRSU is equipped with small cell base station (SBS) and VEC server, both which are powered solely by solar energy. However, limited capacity energy, server's computing, SBS's bandwidth resources may prohibit vehicle users (VUs) from offloading their applications to server for better service quality. We address challenge dynamically determining task...

10.1109/tvt.2021.3119585 article EN publisher-specific-oa IEEE Transactions on Vehicular Technology 2021-10-15

Emerging connected and autonomous vehicles involve complex applications requiring not only optimal computing resource allocations but also efficient architectures. In this paper, we unfold the critical performance metrics required for emerging vehicular show with preliminary experimental results, how choices can be made to satisfy static dynamic requirements in terms of metrics. We discuss feasibility edge architectures tradeoffs different offloading strategies. The paper shows directions...

10.1109/dac18072.2020.9218618 article EN 2020-07-01

To sustainably provide low-latency communication and edge computing for connected vehicles, a promising solution is using Solar-powered Roadside Units (SRSUs), which consist of small cell base stations Mobile Edge Computing servers. However, due to the intermittent nature solar power, SRSUs may suffer from high risk power deficiency, will lead severe disruption vehicular applications. In this paper, we aim address challenge Quality Service (QoS) loss (i.e., service outage vehicle users...

10.1109/tvt.2020.3007640 article EN publisher-specific-oa IEEE Transactions on Vehicular Technology 2020-07-08

Renewable energy (RE) is a promising solution to save grid power in mobile edge computing (MEC) systems and thus reducing the carbon footprints. However, effectively operate RE-based MEC system, method for predicting state of (SoE) battery essential, not only prevent from over-charging or over-discharging, but also allowing applications adjust their loads advance based on availability. In this work, we consider RE-powered at Road-side Unit (RSU) focus its battery's SoE by using machine...

10.1109/igessc50231.2020.9285102 article EN 2020-11-02

This paper shows the viability of Solar-powered Road Side Units (SRSU), consisting small cell base stations and Mobile Edge Computing (MEC) servers, powered solely by solar panels with battery, to provide connected vehicles a low- latency, easy-to-deploy energy-efficient communication edge computing infrastructure. However, SRSU may entail high risk power deficiency, leading severe Quality Service (QoS) loss due spatial temporal fluctuation generation. Meanwhile, data traffic demand also...

10.1109/icccn.2018.8487353 article EN 2018-07-01

Multi-vehicle perception fusion is an emerging advanced vehicular application providing Vehicle Users (VUs) with comprehensive driving assistance. This involves each VU's individual tasks and additional at the end. However, performing these applications on some VUs may not be feasible due to applications' high computing complexity. Vehicular Edge Computing (VEC) server, which collocated a Road-side Unit, together VUs' Local (VLC) units can used support through task offloading. Achieving this...

10.1109/tvt.2023.3284369 article EN IEEE Transactions on Vehicular Technology 2023-01-01

In this paper, we explore a sustainable solution to growing vehicular computing and communication needs by utilizing edge resources of network Solar- powered Roadside Units (SRSUs), along with any available. The ensures no additional grid energy expended while minimizing QoS loss for the vehicle users (VUs). An SRSU consists small cell base station (SBS) road-edge (REC) node, is low-cost solar system. VUs can offload their application tasks SRSUs receive high throughput low latency services....

10.1109/vtcfall.2019.8891272 article EN 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) 2019-09-01

A novel Fog Radio Access Network architecture based on General Purpose Processor(GPP) Platform is proposed. Traditionally, people consider fog computing service as an independent unit in the Network(RAN). Our design, contrary, considers both resource for RAN and application integrated pool. Based observation of CPU load measurement Baseband Unit(BBU) testbed, we further scrutinize our proposed model prove that it feasible realistic system.

10.1109/vtcfall.2016.7881019 article EN 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) 2016-09-01

Vehicular networking has seen continued evolution over decades with the recently emerging paradigm of Cellular Vehicle-to-Everything (C-V2X) communications beginning to pick up momentum for adoption on today's roadways. Initial iterations C-V2X grew from LTE Device-to-Device framework and targeted application use cases that required exchange small packets information: where a vehicle is, what it is doing, etc. Many next generation require transfer sensory data vehicles edge, e.g.,...

10.1109/tvt.2023.3322068 article EN IEEE Transactions on Vehicular Technology 2023-10-04

The current Cellular Vehicle-to-Everything (C-V2X) Sidelink communication protocol provides a low latency interface for sharing short safety messages among Road-Side Units and vehicles. However, while its packets are broadcasted in the channel, throughput is vulnerable to channel conditions cannot meet needs of emerging connected autonomous vehicles applications (e.g. vehicular fusion tasks), which require multimodal multi-source sensor data sharing. In this work, we establish C-V2X testbed...

10.1109/vtc2022-spring54318.2022.9860580 article EN 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring) 2022-06-01

Smart living has always been considered as a killer application when new technologies emerged. It is envisioned that smart will enable healthier, safer and more comfortable life while reducing resource consumption. Unfortunately, adoption of smart-living services very slow especially in residential environments. Several factors have contributed to such limited deployment. First, installation configuration system usually complicated. Second, maintenance headache for ordinary users. Any repair...

10.1109/soca.2013.22 article EN 2013-12-01
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