arrow
Return

Backscatter-Enabled Efficient V2X Communication With Non-Orthogonal Multiple Access

delete2021-02-01
delete71
PRE
AI
W
Wali Ullah Khan
F
Furqan Jameel
N
Neeraj Kumar
R
Riku Jäntti
M
Mohsen Guizani *
DOI:10.1109/TVT.2021.3056220delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Non-orthogonal multiple access (NOMA) and backscatter communications are considered to be promising technologies for beyond the fifth-generation (5G) due to their applications in large-scale Internet-of-things networks for providing low-powered and spectral-efficient communication. NOMA also provides a new way to enable vehicle-to-everything (V2X) networks and improve the achievable rates through cooperation. Motivated by these developments, we provided a novel analysis for NOMA-enabled backscatter-based V2X networks. Specifically, we consider that several vehicles are connected to the base station (BS) via different roadside units (RSUs) and the backscatter tags along the road. These backscatter tags can be considered ultra-low-powered safety sensors that communicate with the vehicles using the same spectrum resources. To optimize the performance of such networks, a joint problem of optimal power allocation at BS and RSUs has been formulated. Subsequently, the problem has been transformed into a convex problem and solved using KKT conditions and sub-gradient methods. To evaluate the performance of the proposed solution, Monte-Carlo simulations have been performed in MATLAB. The acquired results clearly demonstrate that the proposed approach performs better than the conventional suboptimal NOMA scheme and joint optimal TDMA scheme.
Keywords:
Performance evaluation
NOMA
Time division multiple access
Wireless sensor networks
Resource management
Optimization
Backscatter
Backscatter communication
Internet-of-things
non-orthogonal multiple access
power allocation
V2X
KKT
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Vehicular Technology cover
IEEE Transactions on Vehicular Technology
IF:
7.1
Papers:
1.8W
Citations:
6.6W

Organization

A
Aalto University
Scholars:
1.6W
Papers: 1.5W
Citations: 2.1W
S
shandong university
Scholars:
9.3W
Papers: 6.4W
Citations: 94
Q
Qatar University
Scholars:
8.9K
Papers: 9.0K
Citations: 16
researcher View more organizations