Abstract
In a long term evolution based vehicle-to-vehicle (LTE-V2V) system, vehicle user equipment units (VUEs) broadcast their driving information to neighboring VUEs. However, they cannot receive packets from others during transmission because they operate in half-duplex (HD) mode. Moreover, adjacent channel interference further degrades the communication reliability. To overcome these problems, we propose a permuted resource allocation (RA) scheme based on the grouping of neighboring VUEs. Through a theoretical analysis for the proposed scheme, a closed-form expression of the approximated reliability is derived. Based on this, we also suggest an adaptive resource size control mechanism for the proposed method. Numerical results show that the proposed method achieves higher reliability than conventional geo-based RA in practical road environments.
Original language | English |
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Title of host publication | 2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728112206 |
DOIs | |
Publication status | Published - 2019 Sept |
Event | 90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, United States Duration: 2019 Sept 22 → 2019 Sept 25 |
Publication series
Name | IEEE Vehicular Technology Conference |
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Volume | 2019-September |
ISSN (Print) | 1550-2252 |
Conference
Conference | 90th IEEE Vehicular Technology Conference, VTC 2019 Fall |
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Country/Territory | United States |
City | Honolulu |
Period | 19/9/22 → 19/9/25 |
Bibliographical note
Funding Information:This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No.2018R1A2A1A05021029) and by Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (2016-0-00181-004, Development on the core technologies of transmission, modulation and coding with low-power and low-complexity for massive connectivity in the IoT environment)
Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No.2018R1A2A1A05021029) and by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (2016-0-00181-004, Development on the core technologies of transmission, modulation and coding with low-power and low-complexity for massive connectivity in the IoT environment)
Publisher Copyright:
© 2019 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics