Abstract
In this paper the QoS-constrained resource allocation problem in multicarrier systems is considered. Within the established cross-layer framework, parameters for subchannel assignment, adaptive modulation and coding, and ARQ/HARQ protocols are jointly optimized. Instead of the conventional transmit power minimization, the total energy consumption for the successful transmissions of all information bits is set as the optimization goal. The nonconvex primal problem is solved by using Lagrange dual decomposition and the ellipsoid method. Numerical results indicate that the recovered primal solution is well acceptable in performance, and efficient in terms of computational effort.
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Bai, Q., Ivrlač, M.T., Nossek, J.A. (2009). QoS-constrained Energy Minimization in Multiuser Multicarrier Systems. In: Granelli, F., Skianis, C., Chatzimisios, P., Xiao, Y., Redana, S. (eds) Mobile Lightweight Wireless Systems. Mobilight 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 13. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03819-8_18
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DOI: https://doi.org/10.1007/978-3-642-03819-8_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03818-1
Online ISBN: 978-3-642-03819-8
eBook Packages: Computer ScienceComputer Science (R0)