DocumentCode
2520581
Title
Power and resource allocation for orthogonal multiple access relay systems
Author
Mesbah, Wessam ; Davidson, Timothy N.
Author_Institution
Dept. Elec. & Comp. Eng., McMaster Univ., Hamilton, ON
fYear
2008
fDate
6-11 July 2008
Firstpage
2272
Lastpage
2276
Abstract
We study the problem of jointly allocating power and the channel resource of an orthogonal multiple access relay systems in order to maximize the achievable rate region. Four relaying strategies are considered: regenerative decode-and- forward (RDF), non-regenerative decode-and-forward (NDF), amplify-and-forward (AF), and compress-and-forward (CF). For RDF and NDF we show that the problem can be formulated as a quasi-convex problem, while for AF and CF we show that the problem can be made quasi-convex if the signal to noise ratios of the direct channels are at least -3 dB. Therefore, efficient algorithms can be used to obtain the jointly optimal power and channel resource allocation. Furthermore, we show that the convex subproblems in those algorithms admit a closed-form solution. Our numerical results show that the joint allocation of power and the channel resource achieves significantly larger achievable rate regions than those achieved by power allocation alone with fixed channel resource allocation. We also demonstrate that assigning different relaying strategies to different users together with the joint allocation of power and the channel resources can further enlarge the achievable rate region.
Keywords
convex programming; multi-access systems; telecommunication channels; amplify-and-forward; channel resource; compress-and-forward; nonregenerative decode-and-forward; orthogonal multiple access relay systems; power allocation; quasi-convex problem; regenerative decode-and-forward; resource allocation; signal to noise ratios; Circuits; Closed-form solution; Decoding; Power engineering and energy; Power system relaying; Relays; Resource description framework; Resource management; Signal to noise ratio; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2008. ISIT 2008. IEEE International Symposium on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-2256-2
Electronic_ISBN
978-1-4244-2257-9
Type
conf
DOI
10.1109/ISIT.2008.4595395
Filename
4595395
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