A cutting plane optimization algorithm for intra-cell link adaptation problem

Alireza Babaei, Mansoor Isvand Yousefi, Bahman Abolhassani, Naser Sadati

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Link adaptation of a wireless cellular network is of much attention due to the desire of maximizing both the a erage lin throughput and co erage reliability, which have conflicting effect on each other. In this paper, the intra-cell lin adaptation problem is formulated as a non-differentiable constrained optimization problem to maximize average link throughput while guaranteeing the best possible coverage reliability. To achieve this, a cutting plane optimization algorithm is employed. The performance of our method: adaptive modulation/coding with power management (AMCWPM) using proposed algorithm is compared with that of an adaptive modulation/coding (AMC) with no power management. Simulation results show that the performance of our method improves both average link throughput and coverage reliability by at least 10% while in each case the other parameter (i.e. respectively, coverage reliability and average link throughput) is hold as much as that of the AMC with no power management.

Original languageEnglish
Title of host publication2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2005
Pages1895-1899
Number of pages5
Publication statusPublished - 1 Dec 2005
Externally publishedYes
Event2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2005 - Berlin, Germany
Duration: 11 Sept 200514 Sept 2005

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume3

Conference

Conference2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2005
Country/TerritoryGermany
CityBerlin
Period11/09/0514/09/05

Keywords

  • Adaptive modulation/coding
  • Convex analysis
  • Decomposition techniques
  • Non-differentiable optimization
  • Power distribution management

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