In the centralized mode of the cellular-based vehicle-to-vehicle (C-V2V) system, the base station performs resource allocation based on location information from the vehicle user equipments (VUEs). To implement this location-based resource allocation, the base station and VUEs frequently exchange driving information with each other. This causes serious control overhead which includes the signaling that occurs between the base station and VUEs and the computing power needed to perform location-based resource allocation. In this paper, we propose a new hybrid resource allocation scheme designed to reduce control overhead while satisfying high communication reliability. The proposed scheme is composed of two phases, a centralized phase and a distributed phase. In the centralized phase, the base station performs location-based resource allocation. In the distributed phase, VUEs autonomously select the resource occupied by the VUE in front of them. This procedure fixes the geographical locations of the resources to specific locations and consequently reduces the frequency with which the base station performs resource allocation. Simulation results show that the proposed resource allocation scheme reduces the control overhead of the conventional resource allocation with centralized mode.
|Title of host publication||2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2020 Nov|
|Event||92nd IEEE Vehicular Technology Conference, VTC 2020-Fall - Virtual, Victoria, Canada|
Duration: 2020 Nov 18 → …
|Name||IEEE Vehicular Technology Conference|
|Conference||92nd IEEE Vehicular Technology Conference, VTC 2020-Fall|
|Period||20/11/18 → …|
Bibliographical noteFunding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No.2018R1A2A1A05021029).
© 2020 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics