scispace - formally typeset
Y

Yan Shi

Researcher at Beijing University of Posts and Telecommunications

Publications -  38
Citations -  1644

Yan Shi is an academic researcher from Beijing University of Posts and Telecommunications. The author has contributed to research in topics: Mobility management & Computer science. The author has an hindex of 8, co-authored 32 publications receiving 1072 citations.

Papers
More filters
Journal ArticleDOI

Vehicle-to-Everything (v2x) Services Supported by LTE-Based Systems and 5G

TL;DR: The overview of requirements and use cases in V2X services in 3GPP is presented, and the up-to-date standardization of LTE V2x in 3 GPP is surveyed, where the enhanced V2Z (eV2X) services and possible 5G solutions are analyzed.
Journal ArticleDOI

LTE-V: A TD-LTE-Based V2X Solution for Future Vehicular Network

TL;DR: This paper proposes long-term evolution (LTE)-V as a systematic and integrated V2X solution based on time-division LTE (TD-LTE) 4G based on centralized architecture with native features of TD-Lte, which optimizes radio resource management for better supporting V2I.
Journal ArticleDOI

A Vision of C-V2X: Technologies, Field Testing, and Challenges With Chinese Development

TL;DR: The requirements of the basic road safety and advanced applications, the architecture, the key technologies, and the standards of C-V 2X are introduced, highlighting the technical evolution path from LTE-V2X to NR-V1X.
Journal ArticleDOI

SoftNet: A software defined decentralized mobile network architecture toward 5G

TL;DR: The analysis of the working mechanisms of SoftNet, including its dynamically defined architecture, decentralized mobility management, distributed data forwarding, and multi-RATs coordination, show that SoftNet has improved system capacity and performance.
Journal ArticleDOI

MAGA: A Mobility-Aware Computation Offloading Decision for Distributed Mobile Cloud Computing

TL;DR: MAGA, a mobility-aware offloading decision method for distributed MCC is proposed in this paper for single-job, multicomponent, and multisite offloading scenario and the proposed mobile access prediction is used in MAGA for cloudlet reliability estimation.