JOURNAL ARTICLE

Optimal Power Allocations for Relay-assisted NOMA-based 5G V2X Broadcast/Multicast Communications

Abstract

Recently, as the benefit of its compelling applications, vehicle-to-everything (V2X) communications have attracted more and more attentions. Non-orthogonal multiple access (NOMA) provides a new solution for V2X services to ease traffic congestion and reduce latency. Different from existing works, we propose two NOMA-based schemes for V2X broadcasting and multicasting, and investigate the power allocation problems for them. The power allocation problems are formulated to maximize the minimum achievable vehicle rate for the purpose of fairness. In addition, we show that the formulated problem is neither convex nor concave. Fortunately, it is shown that the considered problem is quasi-concave, and hence we obtain the solution to the problem by a power allocation algorithm based on a bisection procedure. Simulation results demonstrate that the proposed scheme out-performs the scheme with fixed power allocation obviously and achieves a significant performance improvement with respect to a suboptimal fractional transmit power allocation (FTPA) method and the optimized time division multiple access (TDMA) scheme.

Keywords:
Computer science Multicast Time division multiple access Relay Noma Computer network Mathematical optimization Transmitter power output Broadcasting (networking) Power (physics) Scheme (mathematics) Throughput Wireless Telecommunications Mathematics Channel (broadcasting) Telecommunications link

Metrics

13
Cited By
0.98
FWCI (Field Weighted Citation Impact)
22
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Vehicular Ad Hoc Networks (VANETs)
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
IoT Networks and Protocols
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
© 2026 ScienceGate Book Chapters — All rights reserved.