@InProceedings{7362625,
  author = {L. Blanco and M. Nájar},
  booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},
  title = {Relay subset selection in cognitive networks with imperfect CSI and individual power constraints},
  year = {2015},
  pages = {1456-1460},
  abstract = {This paper considers the relay subset selection problem in an underlay cognitive network in which two secondary users communicate assisted by a set of N potential relays. More specifically, this paper deals with the joint problem of choosing the best subset of L secondary relays and their corresponding weights which maximize the Signal-to-Interference-plus-Noise ratio (SINR) at the secondary user receiver, subject to per-relay power constraints and interference power constraints at the primary user. This problem is a combinatorial problem with a high computational burden. Nevertheless, we propose a sub-optimal technique, based on a convex relaxation of the problem, which achieves a near-optimal performance with a reduced complexity. Contrary to other approaches in the literature, the secondary relays are not limited to cooperate at full power.},
  keywords = {cognitive radio;combinatorial mathematics;communication complexity;convex programming;radiofrequency interference;relaxation theory;relay networks (telecommunication);imperfect CSI;individual power constraint;relay subset selection problem;underlay cognitive network;secondary relay;signal-to-interference-plus-noise ratio;SINR;secondary user receiver;interference power constraint;per-relay power constraint;combinatorial problem;suboptimal technique;convex relaxation;Relays;Interference;Signal to noise ratio;Quality of service;Europe;Receivers;Multiple relay selection},
  doi = {10.1109/EUSIPCO.2015.7362625},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2015/papers/1570104691.pdf},
}

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Nájar},\n booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},\n title = {Relay subset selection in cognitive networks with imperfect CSI and individual power constraints},\n year = {2015},\n pages = {1456-1460},\n abstract = {This paper considers the relay subset selection problem in an underlay cognitive network in which two secondary users communicate assisted by a set of N potential relays. More specifically, this paper deals with the joint problem of choosing the best subset of L secondary relays and their corresponding weights which maximize the Signal-to-Interference-plus-Noise ratio (SINR) at the secondary user receiver, subject to per-relay power constraints and interference power constraints at the primary user. This problem is a combinatorial problem with a high computational burden. Nevertheless, we propose a sub-optimal technique, based on a convex relaxation of the problem, which achieves a near-optimal performance with a reduced complexity. 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