Ran, Jie and Wang, Yafeng and Li, Chang and Yang, Dacheng and Xiang, Wei (2010) Joint power allocation and best-relay positioning for incremental selection amplify-and-forward relaying. In: 2010 IEEE Vehicular Technology Conference (VTC 2010-Fall), 6-9 Sept 2010, Ottawa, Canada.
Abstract
[Abstract]:
Incremental selection amplify-and-forward relaying
(ISAF) has the best performance of outage probability among
relaying strategies and has been identified as the best protocol. This paper proposes to jointly optimize power allocation (PA) and best-relay position based on cooperative diversity for ISAF in order to minimize outage probability. The closed-form solution to the adaptive allocation algorithm based on high signal-to-noise
ratio (SNR) approximation of outage probability is presented, assuming maximum ratio combining (MRC) at the destination. Simulation results have shown that the system performance of outage probability with the proposal outperforms the fixed PA algorithms, and much less power is needed to achieve the same outage probability at the same effective rate. The power saving can be as much as 9 dB compared to the equal power allocation scheme.
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| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | Permanent restricted access to published version due to publisher's copyright restriction. Author version not held. |
| Faculty / Department / School: | Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering |
| Date Deposited: | 10 Feb 2011 02:10 |
| Last Modified: | 08 Jan 2015 02:51 |
| Uncontrolled Keywords: | Incremental selection amplify-and-forward (ISAF), power allocation (PA), best-relay position, outage probability |
| Fields of Research : | 10 Technology > 1005 Communications Technologies > 100510 Wireless Communications |
| Socio-Economic Objective: | E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences |
| Identification Number or DOI: | 10.1109/VETECF.2010.5594116 |
| URI: | http://eprints.usq.edu.au/id/eprint/18244 |
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