Centralized Resource Allocation and Distributed Power Control for NOMA-Integrated NR V2X

Zhang, Fenghui; Wang, Michael Mao; Bao, Xuecai; Liu, Weirong

doi:10.1109/jiot.2021.3075250

Cited by 32 publications

(12 citation statements)

References 31 publications

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“…According to (7) and assuming that the system bandwidth is B, the transmit rate of the kth vehicle can be given by…”

Section: B Problem Formulationmentioning

confidence: 99%

Min-Max Latency Optimization Based on Sensed Position State Information in Internet of Vehicles

Gao¹,

Zhao²,

Zheng³

et al. 2022

Preprint

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The dual-function radar communication (DFRC) is an essential technology in Internet of Vehicles (IoV). Consider that the road-side unit (RSU) employs the DFRC signals to sense the vehicles' position state information (PSI), and communicates with the vehicles based on PSI. The objective of this paper is to minimize the maximum communication delay among all vehicles by considering the estimation accuracy constraint of the vehicles' PSI and the transmit power constraint of RSU. By leveraging convex optimization theory, two iterative power allocation algorithms are proposed with different complexities and applicable scenarios. Simulation results indicate that the proposed power allocation algorithm converges and can significantly reduce the maximum transmit delay among vehicles compared with other schemes.

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“…According to (7) and assuming that the system bandwidth is B, the transmit rate of the kth vehicle can be given by…”

Section: B Problem Formulationmentioning

confidence: 99%

Min-Max Latency Optimization Based on Sensed Position State Information in Internet of Vehicles

Gao¹,

Zhao²,

Zheng³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…It can be achieved through two different techniques, i.e., superposition coding (SC) and successive interference cancellation (SIC). In particular, SC is used on the transmitter side to superimpose multiple signals over the same spectrum using different transmit power, and SIC is then applied on the receiver side to decode different signals [15]. It is important to note that the power allocation for different signals over the same spectrum is done based on the channel conditions [16].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Optimization for Backscatter Enhanced NOMA Cooperative V2X Communications Under Imperfect CSI

Khan

Jamshed

Lagunas

et al. 2023

IEEE Trans. Intell. Transport. Syst.

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“…More specifically, multiple vehicles can be multiplexed through different power levels by using the superposition coding technique at the transmitter side. Then the vehicle with strong channel conditions can apply SIC and decode its desired signal [8]. In NOMA communications, by allocating more power, the quality of services of vehicles with weak channel conditions can be guaranteed.…”

Section: Introductionmentioning

confidence: 99%

Backscatter-Aided NOMA V2X Communication under Channel Estimation Errors

Khan¹,

Jamshed²,

Mahmood³

et al. 2022

Preprint

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Backscatter communications (BC) has emerged as a promising technology for providing low-powered transmissions in nextG (i.e., beyond 5G) wireless networks. The fundamental idea of BC is the possibility of communications among wireless devices by using the existing ambient radio frequency signals. Non-orthogonal multiple access (NOMA) has recently attracted significant attention due to its high spectral efficiency and massive connectivity. This paper proposes a new optimization framework to minimize total transmit power of BC-NOMA cooperative vehicle-to-everything networks (V2XneT) while ensuring the quality of services. More specifically, the base station (BS) transmits a superimposed signal to its associated roadside units (RSUs) in the first time slot. Then the RSUs transmit the superimposed signal to their serving vehicles in the second time slot exploiting decode and forward protocol. A backscatter device (BD) in the coverage area of RSU also receives the superimposed signal and reflect it towards vehicles by modulating own information. Thus, the objective is to simultaneously optimize the transmit power of BS and RSUs along with reflection coefficient of BDs under perfect and imperfect channel state information. The problem of energy efficiency is formulated as non-convex and coupled on multiple optimization variables which makes it very complex and hard to solve. Therefore, we first transform and decouple the original problem into two sub-problems and then employ iterative sub-gradient method to obtain an efficient solution. Simulation results demonstrate that the proposed BC-NOMA V2XneT provides high energy efficiency than the conventional NOMA V2XneT without BC.

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Centralized Resource Allocation and Distributed Power Control for NOMA-Integrated NR V2X

Cited by 32 publications

References 31 publications

Min-Max Latency Optimization Based on Sensed Position State Information in Internet of Vehicles

Min-Max Latency Optimization Based on Sensed Position State Information in Internet of Vehicles

Energy Efficiency Optimization for Backscatter Enhanced NOMA Cooperative V2X Communications Under Imperfect CSI

Backscatter-Aided NOMA V2X Communication under Channel Estimation Errors

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