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A Distributed Power Allocation Scheme for Sum-Rate Maximization on Cognitive GMACs
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS. (RST)
(Incheon Univ.)
(KAIST)
(Stanford Univ.)
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2013 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 61, no 1, 248-256 p.Article in journal (Refereed) Published
Abstract [en]

This paper considers a 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 the exhaustive search.

Place, publisher, year, edition, pages
2013. Vol. 61, no 1, 248-256 p.
Keyword [en]
Distributed power allocation, Gaussian multiple access channels, cognitive radio, non-convex QCQP, sum-rate maximization
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-118233DOI: 10.1109/TCOMM.2013.010913.110090ISI: 000314974000025Scopus ID: 2-s2.0-84873652160OAI: oai:DiVA.org:kth-118233DiVA: diva2:605243
Note

QC 20130315

Available from: 2013-02-13 Created: 2013-02-13 Last updated: 2017-12-06Bibliographically approved

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  • apa
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Output format
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