articleIEEE Transactions on CommunicationsJul 1, 2006Closed access

Dual methods for nonconvex spectrum optimization of multicarrier systems

University of Toronto

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Abstract

The design and optimization of multicarrier communications systems often involve a maximization of the total throughput subject to system resource constraints. The optimization problem is numerically difficult to solve when the problem does not have a convexity structure. This paper makes progress toward solving optimization problems of this type by showing that under a certain condition called the time-sharing condition, the duality gap of the optimization problem is always zero, regardless of the convexity of the objective function. Further, we show that the time-sharing condition is satisfied for practical multiuser spectrum optimization problems in multicarrier systems in the limit as the number of…

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Authors

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Topics & keywords

Keywords
  • Mathematical optimization
  • Optimization problem
  • Duality gap
  • Convexity
  • Duality (order theory)
  • Computer science
  • Strong duality
  • Dual (grammatical number)
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