This paper presents a new performance metric, called spatial capacity, in long-term evolution (LTE)-based vehicle-to-vehicle (V2V) communication. The spatial capacity is defined as the the total amount of bits that can be successfully delivered in a unit km and 1 s. Since this metric incorporates vehicle user equipment (VUE) density, message size, and reliability simultaneously, this is useful to show the comprehensive understanding of V2V network. Numerical results show the two-dimensional contour graph of traditional reliability and spatial capacity with respect to VUE density and message size. We can see the obvious difference between them that the growth of VUE density and message size always degrades the reliability; while it increases the spatial capacity to some extent.
|Title of host publication||International Conference on Electronics, Information and Communication, ICEIC 2018|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 2018 Apr 2|
|Event||17th International Conference on Electronics, Information and Communication, ICEIC 2018 - Honolulu, United States|
Duration: 2018 Jan 24 → 2018 Jan 27
|Name||International Conference on Electronics, Information and Communication, ICEIC 2018|
|Other||17th International Conference on Electronics, Information and Communication, ICEIC 2018|
|Period||18/1/24 → 18/1/27|
Bibliographical noteFunding Information:
This work was partly supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government( MSIT) (2016-0-00181, Development on the core technologies of transmission, modulation and coding with low-power and low-complexity for massive connectivity in the IoT environment) and by the National Research Foundation of Korea(NRF) grant funded by the Korea government (NRF- 2015R1A2A1A01006162).
© 2018 Institute of Electronics and Information Engineers.
All Science Journal Classification (ASJC) codes
- Information Systems
- Computer Networks and Communications
- Computer Science Applications
- Signal Processing
- Electrical and Electronic Engineering