Xincao Xu

University of Electronic Science and Technology of China | UESTC · Shenzhen Institue for Advanced Study

EdgeAI represents a compelling approach for deploying DNN models at network edge through model partitioning. However, most existing partitioning strategies have primarily concentrated on homogeneous environments, neglecting the effect of device placement and their inapplicability to heterogeneous settings. Moreover, these strategies often rely on e...

Recent advances in sensing technologies, wireless communications and computing paradigms drive the evolution of vehicles toward intelligent and electronic consumer products. This paper investigates digital twins in vehicular edge computing (DT-VEC) via cooperative sensing and uploading of vehicles, aiming at achieving the quality-cost tradeoff in D...

Cooperative sensing and heterogeneous information fusion are critical to realize vehicular cyber-physical systems (VCPSs). This paper makes the first attempt to quantitatively measure the quality of VCPS by designing a new metric called Age of View (AoV). Specifically, we first present the system architecture where heterogeneous information can be...

Vehicular edge computing (VEC) becomes a promising paradigm for the development of emerging intelligent transportation systems. Nevertheless, the limited resources and massive transmission demands bring great challenges on implementing vehicular applications with stringent deadline requirements. This work presents a non-orthogonal multiple access (...

Vehicular edge computing (VEC) becomes a promising paradigm for the development of emerging intelligent transportation systems. Nevertheless, the limited resources and massive transmission demands bring great challenges on implementing vehicular applications with stringent deadline requirements. This work presents a non-orthogonal multiple access (...

Cooperative sensing and heterogeneous information fusion are critical to realize vehicular cyber-physical systems (VCPSs). This paper makes the first attempt to quantitatively measure the quality of VCPS by designing a new metric called Age of View (AoV). Specifically, a vehicular edge computing (VEC) architecture is presented, in which heterogeneo...

Heterogeneous information fusion is one of the most critical issues for realizing vehicular cyber-physical systems (VCPSs). This work makes the first attempt at quantitatively measuring the quality of heterogeneous information fusion in VCPS by designing a new metric called Age of View (AoV). Specifically, we derive a sensing model based on a multi...

In vehicular edge computing environments, the Co-channel interferences (CCI)is a critical problem when edge nodes allocate channels for different data transmission tasks. This article formulates the problem of channel allocation in vehicular edge computing, aiming at allocating sub-channels for different data transmission tasks and maximizing the r...

With recent advances in sensing technologies and the emerging intelligent transportation system applications, smart vehicles impose huge requirements on processing computation-intensive tasks with strict time constraints, which cannot be satisfied solely relying on local computation resources. Vehicular edge computing is an efficient paradigm for e...

With recent development in vehicular communication technologies, much attention has been paid to data dissemination in vehicular networks. In particular, the infrastructure-to-vehicle (I2V) communication is one of the primary technologies to provide a variety of information services. To enhance the bandwidth efficiency of I2V communication, this wo...

With recent advances in wireless communications, much attentions have been paid to data services in vehicular ad hoc networks (VANETs). Network coding has been considered as a promising approach to improving the bandwidth efficiency in the field of wireless communications. However, due to the heterogeneities of vehicular networks, such as diverse s...

Vehicular fog computing (VFC) is a new paradigm to extend the fog computing to conventional vehicular networks. Nevertheless, it is challenging to process delay-sensitive task offloading in VFC due to high vehicular mobility, intermittent wireless connection and limited computation resource. In this paper, we first propose a distributed VFC archite...

Vehicular fog computing (VFC) has been envisioned as a promising paradigm for enabling a variety of emerging intelligent transportation systems (ITS). However, due to inevitable as well as non-negligible issues in wireless communication, including transmission latency and packet loss, it is still challenging in implementing safety-critical applicat...

Vehicular fog computing (VFC) has been envisioned as a promising paradigm for enabling a variety of emerging intelligent transportation systems (ITS). However, due to inevitable as well as non-negligible issues in wireless communication, including transmission latency and packet loss, it is still challenging in implementing safety-critical applicat...

Recent advances in wireless communication, sensing, computation and control technologies have paved the way for the development of a new era of Internet of Vehicles (IoV). Demanded by the requirements of information-centric and data-driven intelligent transportation systems (ITS), it is of great significance to explore new paradigms of IoV in suppo...