Joint Subchannel and Power Allocation Optimization in Heterogeneous Networks

Abstract

This paper suggests a mathematical model in optimizing the subchannel and power allocations over a Heterogeneous Network. A multi-objective nonlinear constrained problem is formulated and solved by using an algorithm comprised of Lagrangian dual decomposition, Karush-Kuhn-Tucker conditions and subgradient method. The proposed optimization framework provides the operators the option to choose among three operating modes, namely high speed mode, power saving mode or balanced energy efficient mode. Comparisons with the equal power allocation model demonstrate that the obtainable solutions improve the efficiency of power allocation up to 36.18% when operating in power saving mode. The model achieves an improvement of 7.4% with higher total throughput when operating in high speed mode.