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
Link To Document :
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