Maximizing Expected Achievable Rates for Block-Fading Buffer-Aided Relay Channels
Type
ArticleKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Date
2016-05-25Online Publication Date
2016-05-25Print Publication Date
2016-09Permanent link to this record
http://hdl.handle.net/10754/622564
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In this paper, the long-term average achievable rate over block-fading buffer-aided relay channels is maximized using a hybrid scheme that combines three essential transmission strategies, which are decode-and-forward, compress-and-forward, and direct transmission. The proposed hybrid scheme is dynamically adapted based on the channel state information. The integration and optimization of these three strategies provide a more generic and fundamental solution and give better achievable rates than the known schemes in the literature. Despite the large number of optimization variables, the proposed hybrid scheme can be optimized using simple closed-form formulas that are easy to apply in practical relay systems. This includes adjusting the transmission rate and compression when compress-and-forward is the selected strategy based on the channel conditions. Furthermore, in this paper, the hybrid scheme is applied to three different models of the Gaussian block-fading buffer-aided relay channels, depending on whether the relay is half or full duplex and whether the source and the relay have orthogonal or non-orthogonal channel access. Several numerical examples are provided to demonstrate the achievable rate results and compare them to the upper bounds of the ergodic capacity for each one of the three channel models under consideration.Citation
Shaqfeh M, Zafar A, Alnuweiri H, Alouini M-S (2016) Maximizing Expected Achievable Rates for Block-Fading Buffer-Aided Relay Channels. IEEE Transactions on Wireless Communications 15: 5919–5931. Available: http://dx.doi.org/10.1109/TWC.2016.2572690.Sponsors
This work was supported by the National Priorities Research Program through the Qatar National Research Fund (a member of Qatar Foundation) under Grant 8-1531-2-651. The work of M.-S. Alouini was supported by the King Abdullah University of Science and Technology.Additional Links
http://ieeexplore.ieee.org/document/7478633/ae974a485f413a2113503eed53cd6c53
10.1109/TWC.2016.2572690