Latency Performance Analysis of Predictive Resource Allocation
- Resource Type
- Conference
- Authors
- Sun, Yuanxin; Kuai, Ruoxin; Tang, Wanbin; Li, Xiaoping
- Source
- 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Wireless Communications and Signal Processing (WCSP), 2019 11th International Conference on. :1-6 Oct, 2019
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Photonics and Electrooptics
Signal Processing and Analysis
Resource management
Reliability
Wireless communication
Prediction algorithms
Long Term Evolution
Measurement
Quality of service
MAC
TDMA
VANET
low latency
high reliable
- Language
- ISSN
- 2472-7628
Ultra low latency is one of the most significant requirements in machine type communications and intelligent transport systems. Predictive resource allocation is one of the promising candidates to provide ultra low latency communications. In this paper, we analyze the latency performance of the predictive resource allocation with different parameter configurations. The performance metric is proposed by the Mobile and wireless communication Enablers for the Twenty-twenty Information Society (METIS). Simulations demonstrate the correctness of the theoretical results. The result can be used for find the optimal algorithm parameter and examine whether the performance satisfies the requirement or not. Furthermore, we discuss other factors that is possible to improve the latency performance.