An asynchronous distributed power allocation scheme for sum-rate maximization on cognitive GMACs
2013 (English)In: Proceedings of 2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013, New York: IEEE , 2013, 6549031- p.Conference paper (Refereed)
This paper considers an asynchronous distributed power allocation scheme for sum-rate-maximization under cognitive Gaussian multiple access channels (GMACs), where primary users and secondary users may communicate under mutual interference with the Gaussian noise. Formulating the problem as a standard nonconvex quadratically constrained quadratic problem (QCQP) provides a simple distributed method to find a solution using iterative Jacobian method instead of using centralized schemes. A totally asynchronous distributed power allocation for sum-rate maximization on cognitive GMACs is suggested. Simulation results show that this distributed algorithm for power allocation converges to a fixed point and the solution achieves almost the same performance as exhaustive search.
Place, publisher, year, edition, pages
New York: IEEE , 2013. 6549031- p.
Distributed methods, Distributed Power-Allocation, Gaussian multiple-access channels, Mutual interference, Power allocations, Quadratically constrained quadratic problems, Secondary users, Sum-rate maximizations, Gaussian noise (electronic), Iterative methods
IdentifiersURN: urn:nbn:se:kth:diva-133868DOI: 10.1109/WMNC.2013.6549031ISI: 000325088400079ScopusID: 2-s2.0-84881457297ISBN: 978-146735616-9OAI: oai:DiVA.org:kth-133868DiVA: diva2:664114
2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013; Dubai; United Arab Emirates; 23 April 2013 through 25 April 2013
QC 201311142013-11-142013-11-112014-01-16Bibliographically approved