Abstract
In this paper, distributed relay selection algorithms based on statistical Channel State Information (CSI) in amplify-and-forward mode are proposed, aiming to maximize energy efficiency. With the limited CSI, a tradeoff is made between the total power consumption and the target outage probability at the source. A forwarding threshold is obtained by minimizing the average transmission power. Each relay individually decides whether to participate in forwarding the source signals according to the forwarding threshold. Firstly, a Distributed Multiple Relay Selection (DMRS) algorithm is proposed, in which all candidate relays have the possibility of transmitting the source signals and the threshold is obtained by numerical search. Then a Distributed Single Relay Selection (DSRS) algorithm with low complexity is investigated under the assumption that only one relay forwards the signals. Simulation results indicate that the proposed algorithms provide significant performance gain in terms of energy efficiency over the existing AF-mode relay selection algorithms.
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Jiang, H., Zhang, S., Zhou, W. (2012). Energy-Efficient Distributed Relay Selection Based on Statistical Channel State Information. In: Ren, P., Zhang, C., Liu, X., Liu, P., Ci, S. (eds) Wireless Internet. WICON 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 98. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30493-4_38
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DOI: https://doi.org/10.1007/978-3-642-30493-4_38
Publisher Name: Springer, Berlin, Heidelberg
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