Power allocation for multisource, multidestination cooperative vehicular networks under an outage probability constraint

2019 ◽  
pp. e3624
Author(s):  
Di Zhou ◽  
Bin Qiu ◽  
Yuanfang Chen ◽  
Hailin Xiao ◽  
Muhammad Alam
Keyword(s):  
Outage Probability ◽  
Power Allocation ◽  
Vehicular Networks ◽  
Probability Constraint

scholarly journals A Coordinated Direct AF/DF Relay-Aided NOMA Framework for Low Outage

2021 ◽  
Author(s):  
Anand Jee ◽  
KAMAL AGRAWAL ◽  
Shankar Prakriya
Keyword(s):  
Energy Efficiency ◽  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Outage Probability ◽  
Closed Form ◽  
Power Allocation ◽  
Multiple Access ◽  
Performance Gain ◽  
Amplify And Forward ◽  
Decode And Forward

This paper investigates the performance of a framework for low-outage downlink non-orthogonal multiple access (NOMA) signalling using a coordinated direct and relay transmission (CDRT) scheme with direct links to both the near-user (NU) and the far-user (FU). Both amplify-and-forward (AF) and decode-and-forward (DF) relaying are considered. In this framework, NU and FU combine the signals from BS and R to attain good outage performance and harness a diversity of two without any need for feedback. For the NU, this serves as an incentive to participate in NOMA signalling. For both NU and FU, expressions for outage probability and throughput are derived in closed form. High-SNR approximations to the outage probability are also presented. We demonstrate that the choice of power allocation coefficient and target rate is crucial to maximize the NU performance while ensuring a desired FU performance. We demonstrate performance gain of the proposed scheme over selective decode-and-forward (SDF) CDRT-NOMA in terms of three metrics: outage probability, sum throughput and energy efficiency. Further, we demonstrate that by choosing the target rate intelligently, the proposed CDRT NOMA scheme ensures higher energy efficiency (EE) in comparison to its orthogonal multiple access counterpart. Monte Carlo simulations validate the derived expressions.

scholarly journals Cross-Layer Routing for Outage Minimization in Multihop Ad-Hoc Networks

2021 ◽  
Vol 9 (VII) ◽  
pp. 3130-3134
Author(s):  
Partha Sarathi Dutta
Keyword(s):  
Outage Probability ◽  
Power Allocation ◽  
Ad Hoc ◽  
Closed Form Solution ◽  
Form Solution ◽  
Cross Layer ◽  
Transmission Power ◽  
Routing Metric ◽  
Multihop Ad Hoc Networks ◽  
End To End

In this study, cross-layer approach for joint routing and power allocation problem is formulated in an optimization framework for end-to-end outage minimization under the constraint of total permissible transmission power. A closed form solution for optimal transmission power is obtained following the extraction of routing metric. The scheme is referred as minimum end-to-end outage probability (MEO) strategy. A distributed implementation of the proposed strategy is also presented. Simulation results prove that our proposed MEO routing and power allocation strategy succeeds in achieving significant improvement of end-to-end outage probability over MEO routing and equal power allocation scheme.

scholarly journals Joint Time and Power Allocation Algorithm in NOMA Relaying Network

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Su Zhao ◽  
Chuan Mei ◽  
Qi Zhu
Keyword(s):  
Outage Probability ◽  
Power Allocation ◽  
Relay Network ◽  
Closed Form Expression ◽  
Optimal Time ◽  
High Signal ◽  
Allocation Algorithm ◽  
5G Network ◽  
Cooperative Relay Network ◽  
Outage Probabilities

Nonorthogonal multiple access (NOMA) is one of the promising access techniques in 5G network. The application of relay in NOMA system is a hotspot in recent research. NOMA-based cooperative relay network can achieve a higher spectral efficiency and a lower outage probability. In this paper, we analyse the performance of the two-hop DF relay NOMA network scenario, where the number of cell edge users is more than the cell center user, and obtained the closed-form expression of the user's ergodic rates and outage probabilities under the high signal-to-noise (SNR) ratio. Then, we establish an optimization model to maximize the system rates, and a joint optimal time and power allocation algorithm based on the exhaustive search and the binary algorithm is proposed. Simulation results show that the proposed scheme can outperform exiting scheme in terms of achieving a higher ergodic sum rate, a lower outage probability under the premise of fairness.

scholarly journals Analysis and Design of Functional Device for Vehicular Cloud Computing

Electronics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 583 ◽  
Author(s):  
Guilu Wu ◽  
Sha Li ◽  
Shujun Wang ◽  
Yutong Jiang ◽  
Zhengquan Li
Keyword(s):  
Outage Probability ◽  
Relay Selection ◽  
Vehicular Networks ◽  
Optimal Path ◽  
Transmission Efficiency ◽  
Link Quality ◽  
Technology Application ◽  
Analysis And Design ◽  
Vehicular Cloud ◽  
Transmission Link

Relay technology application becomes prevalent nowadays, as it can effectively extend the communication distance, especially for vehicular networks with a limited communication range. Combined with vehicular cloud (VC), transmission efficiency can be improved by offloading partial data. Hence, designing a vehicle relay algorithm and implementation embedded vehicle device is critical. In this paper, VC is considered to deal with the complexity computation in our proposed system model. Without a loss of generality, an end-to-end vehicle communication with one assisted vehicle is analyzed firstly on a transmission link based on VC. Here, the signal-to-noise ratio (SNR) on the receiving end and link outage probability is obtained to enhance the link reliability. The VC computing helps us further simplify computational complexity. Subsequently, an embedded vehicle-enabled device is designed to achieve the optimal path relay selection in realistic vehicular environments. In the functional device framework, we display an optimal path relay selection algorithm according to the link quality. Finally, the performance of the transmission link on the outage probability related with SNR is verified in the simulation results. Meanwhile, the effect of the relay gain is also analyzed. The application of a vehicle-enabled embedded device could improve the performance of vehicular networks.

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