Abstract
In this paper, a mathematical model of multiuser scheduling problem in HSDPA is developed to use in optimization process. A more realistic imperfect channel state information (CSI) feedback, which is required for this problem, in the form of a finite set of Channel Quality Indicator (CQI) values is assumed, as specified in the HSDPA standard [1]. A global optimal approach and a particle swarm optimization approach are used to solve the problem. Simulation results indicate that the performances of the two approaches are very close even though the complexity of the particle swarm optimization approach is much lower.
This work is supported by EU FP6 “GAWIND” project on Grid-enabled Automatic Wireless Network Design under grant MTKD-CT-2006-042783 and EU FP7 Marie Curie International Incoming Fellowship METOP project under grant PIIF-GA-2008-221380.
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Aydin, M.E., Kwan, R., Leung, C., Zhang, J. (2009). Multiuser Scheduling in HSDPA with Particle Swarm Optimization. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_8
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DOI: https://doi.org/10.1007/978-3-642-01129-0_8
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