TY - GEN
T1 - Power and resource allocation for orthogonal multiple access relay systems
AU - Mesbah, Wessam
AU - Davidson, Timothy N.
PY - 2008
Y1 - 2008
N2 - 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-andforward (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.
AB - 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-andforward (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.
UR - https://www.scopus.com/pages/publications/52349113389
U2 - 10.1109/ISIT.2008.4595395
DO - 10.1109/ISIT.2008.4595395
M3 - Conference contribution
AN - SCOPUS:52349113389
SN - 9781424422579
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2272
EP - 2276
BT - Proceedings - 2008 IEEE International Symposium on Information Theory, ISIT 2008
ER -