Distributed SNR-Based Power Allocation in Wireless Parallel Amplify-and-Forward Relay Transmissions Using Cournot Game

Wang, Junbo; Wang, Jin‐Yuan; Song, Xiaoyu; Cao, Zhe; Chen, Ming

doi:10.1007/s11277-012-0747-7

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…It characterizes the code rate of L relays which can support a desired fidelity so that the source signal can be accurately recovered at the destination. From the perspective of the analog source and channel noise which follows the Gaussian distribution, the CEO problem verifies that the code rate after distributed compressed coding in relay nodes as well as rate-distortion region follow a certain distortion constraint [25]. In [26], the expression of rate-distortion function versus the quadratic Gaussian source is provided.…”

Section: Theoretical Analysis Of the Cf System Based On The Ceo Problemmentioning

confidence: 99%

Design and Optimization for Distributed Compress-and-Forward System based on Multi-Relay Network

Bao¹,

Xu²,

Luo³

et al. 2019

KSII TIIS

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A novel distributed compress-and-forward (CF) system based on multi-relay network is presented. In this system, as the direct link between the source and destination is invalid due to some reasons, such as the limited power, special working environment, or even economic factors, relays are employed to receive analog signals and carry on distributed compressed encoding. Subsequently, the digital signals are transmitted to the destination via wireless channel. Moreover, a theoretical analysis for the system is provided by utilizing the Chief Executive Officer (CEO) theory and Shannon channel capacity theory, and the rate-distortion function as well as the connection between the transmission rate and the channel capacity are constructed. In addition, an optimal signal-to-noise ratio (SNR)-based power allocation method is proposed to maximize the quantization SNR under the limited total power. Simulation result shows that the proposed CF system outperforms the amplify-and-forward (AF) system versus the SNR performance.

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Section: Theoretical Analysis Of the Cf System Based On The Ceo Problemmentioning

confidence: 99%

Design and Optimization for Distributed Compress-and-Forward System based on Multi-Relay Network

Bao¹,

Xu²,

Luo³

et al. 2019

KSII TIIS

View full text Add to dashboard Cite

show abstract

Performance Optimization and Power Allocation of Amplify-and-Forward System with Multi-source

Bao

Zhu

et al. 2021

Machine Learning and Intelligent Communications

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Design and Optimization of Agent-and-Forward System with Multi-Source and Multi-Relay

Bao

Luo

et al. 2019

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)

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Distributed SNR-Based Power Allocation in Wireless Parallel Amplify-and-Forward Relay Transmissions Using Cournot Game

Cited by 3 publications

References 28 publications

Design and Optimization for Distributed Compress-and-Forward System based on Multi-Relay Network

Design and Optimization for Distributed Compress-and-Forward System based on Multi-Relay Network

Performance Optimization and Power Allocation of Amplify-and-Forward System with Multi-source

Design and Optimization of Agent-and-Forward System with Multi-Source and Multi-Relay

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