Relay-Assisted Based AF in Two-Hop Vehicular Networks over Rayleigh Fading Channels

Wu, Guilu; Xu, Pingping; Zhu, Wenchao; Bui, ThiOanh

doi:10.1109/vtcspring.2016.7504444

Cited by 5 publications

(6 citation statements)

References 12 publications

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“…where t is time, and p and q are orders for autoregressive (AR) model and moving-average (MA) model, respectively. The ARMA model is also embodied by the equation (10), which satisfies the stationary time series. It is also expressed as abbreviated as ARMA(p,q) model.…”

Section: Communication Modelmentioning

confidence: 99%

“…9,10 Under low complexity and high SNR conditions, Laneman et al 9 studied a classical cooperative diversity protocol and analyzed the performance of networks with outage probability. Wu et al 10 proposed a relay selection algorithm and further analyzed the outage probability performance with amplified-and-forward (AF) protocol in two-hop vehicular networks. In addition, power allocation technology has also attracted more attention in the last few years on relay networks.…”

Section: Introductionmentioning

confidence: 99%

“…So far, many related works focused on relay communication in energy-limited networks. 9,10 Under low complexity and high SNR conditions, Laneman et al. 9 studied a classical cooperative diversity protocol and analyzed the performance of networks with outage probability.…”

Section: Introductionmentioning

confidence: 99%

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Relay transmission under mobile edge computing in energy-limited networks with real-time constraints

Wang

et al. 2020

Journal of Algorithms & Computational Technology

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For energy-limited networks with real-time constraints, long-distance transmission, complex calculations, and limited delay are problems to be faced in service applications. The cloud-based mobile edge computing framework is proposed in energy-limited networks to solve these problems. Under certain power and delay conditions, source node and destination node in adjacent cells, respectively, can select the appropriate relay node to complete the communication process. The mobile edge computing brings a novel idea for the application of auto-regressive and moving average model and further improves transmission efficiency and reduces transmission delay. Historical energy information of potential relay nodes can be predicted through auto-regressive and moving average model in edge computing server. Then, source node selects appropriate relay node by the proposed relay selection algorithm. Power objective function with signal-tonoise ratio that satisfies the limited delay is formulated to optimize the power allocation of nodes in terms of reducing energy consumption. The results show that our proposed relay selection algorithm under mobile edge computing architecture in energy-limited networks with real-time constraints could effectively improve the performance of networks on energy consumption and delay.

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Section: Communication Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Relay transmission under mobile edge computing in energy-limited networks with real-time constraints

Wang

et al. 2020

Journal of Algorithms & Computational Technology

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“…The designed function module diagram of the vehicular device is illustrated in Figure 2 and based on Reference [38]. This embedded function device includes the following five modules: Receiving Unit, Collection Unit, Determining Unit, Sending Unit, and Storage Unit.…”

Section: Embedded Device Designmentioning

confidence: 99%

“…Acknowledgments: This work has been published in part at the 2016 IEEE 83th Vehicular Technology Conference: VTC2016-Spring, June 2016 [38]. The authors would like to thank the anonymous reference and reviewers for their helpful comments that have significantly improved the quality of the presentation.…”

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confidence: 99%

Analysis and Design of Functional Device for Vehicular Cloud Computing

Sha

Wang

et al. 2019

Electronics

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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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Joint Relay Selection and Power Allocation for Energy-Limited Networks with Cloud Computing

et al. 2018

2018 17th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)

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Relay-Assisted Based AF in Two-Hop Vehicular Networks over Rayleigh Fading Channels

Cited by 5 publications

References 12 publications

Relay transmission under mobile edge computing in energy-limited networks with real-time constraints

Relay transmission under mobile edge computing in energy-limited networks with real-time constraints

Analysis and Design of Functional Device for Vehicular Cloud Computing

Joint Relay Selection and Power Allocation for Energy-Limited Networks with Cloud Computing

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