In this paper the QoS-constrained resource allocation prob- lem in multicarrier systems is considered. Within the established cross- layer framework, parameters for subchannel assignment, adaptive mod- ulation and coding, and ARQ/HARQ protocols are jointly optimized. Instead of the conventional transmit power minimization, the total en- ergy 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. Numer- ical results indicate that the recovered primal solution is well acceptable in performance, and efficient in terms of computational effort.
['Qing Bai', 'Michel T. Ivrlac', 'Josef A. Nossek']
QoS-constrained Energy Minimization in Multiuser Multicarrier Systems