Relay selection in multi-user amplify-forward wireless relay networks

For multi-user (MU) amplify-and-forward (AF) cooperative networks, their spectral efficiency can be upgraded within the orthogonal transmission of each source node to an assigned subset of all available relays while their information throughput can be improved through optimized power allocation. We...

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Vydáno v:2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) s. 2485 - 2488
Hlavní autoři: Enlong Che, Tuan, H. D., Nguyen, H. H.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.03.2012
Témata:
Amplify-and-Forward relay
d.c. programming
Joints
Linear programming
maxmin SNR
Optimization
power allocation
relay selection
Relays
Resource management
Signal to noise ratio
Wireless communication
ISBN:1467300454, 9781467300452
ISSN:1520-6149
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Shrnutí:For multi-user (MU) amplify-and-forward (AF) cooperative networks, their spectral efficiency can be upgraded within the orthogonal transmission of each source node to an assigned subset of all available relays while their information throughput can be improved through optimized power allocation. We consider the joint optimization in both relay assignment for each source-destination pair and power allocation, which is in fact among the hardest problems in optimization. This is the minimization of a nonconvex objective function subject to mixed integer constraints. The existing numerical algorithms could rarely address to its solutions through computationally affordable procedures. Even the conventional relaxation of the integer constraints by linear constraints does not lead to convex optimization, so the standard convexification does not work either. Nevertheless, we show that it can be effectively solved in the d.c. (difference of two convex) programming context. Numerical simulation confirms the effectiveness of our setting.
ISBN:1467300454
9781467300452
ISSN:1520-6149
DOI:10.1109/ICASSP.2012.6288420