Power Allocation Strategies for Fixed-Gain Half-Duplex Amplify-and-Forward Relaying in Nakagami-m Fading
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Power Allocation Strategies for Fixed-Gain Half-Duplex Amplify-and-Forward Relaying in Nakagami-m Fading.pdf
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ArticleKAUST Department
Computer, Electrical and Mathematical Sciences and EngineeringComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering
Electrical Engineering Program
Date
2014-01Preprint Posting Date
2012-11-26Permanent link to this record
http://hdl.handle.net/10754/300621
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In this paper, we study power allocation strategies for a fixed-gain amplify-and-forward relay network employing multiple relays. We consider two optimization problems for the relay network: 1) maximizing the end-to-end signal-to-noise ratio (SNR) and 2) minimizing the total power consumption while maintaining the end-to-end SNR over a threshold value. We investigate these two problems for two relaying protocols of all-participate (AP) relaying and selective relaying and two cases of feedback to the relays, namely full and limited. We show that the SNR maximization problem is concave and that the power minimization problem is convex for all protocols and feedback cases considered. We obtain closed-form expressions for the two problems in the case of full feedback and solve the problems through convex programming for limited feedback. Numerical results show the benefit of having full feedback at the relays for both optimization problems. However, they also show that feedback overhead can be reduced by having only limited feedback to the relays with only a small degradation in performance.Description
Extended version of the article submitted to IEEE TWirelessCitation
Zafar, A., Radaydeh, R. M., Chen, Y., & Alouini, M.-S. (2014). Power Allocation Strategies for Fixed-Gain Half-Duplex Amplify-and-Forward Relaying in Nakagami-m Fading. IEEE Transactions on Wireless Communications, 13(1), 159–173. doi:10.1109/twc.2013.120113.121944Sponsors
This work was funded by King Abdulaziz City of Science and Technology (KACST).arXiv
1211.5931Additional Links
https://ieeexplore.ieee.org/document/6678680/https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678680
ae974a485f413a2113503eed53cd6c53
10.1109/TWC.2013.120113.121944