Abstract
In this paper, we introduce an energy-efficient resource allocation scheme in distributed antenna systems (DASs). Throughout the paper, the resource allocation includes distributed antenna units (DAU) selection, subcarriers assignment and power allocation. Our aim is to optimize energy efficiency (EE) of the whole system, which is defined as the ratio of total data rate to total consumed power, under the constraints of the overall transmit power of each DAU and minimum required data rate of each user. Due to the mixed combinatorial features of the formulation, we focus on low-complexity suboptimal algorithm design. Firstly, a joint DAU selection and subcarriers assignment algorithm is developed with equal power allocation. Secondly, EE maximization problem is a non-convex fractional programming problem, we transform the problem into a subtractive form, then solve it by using the Lagrangian dual decomposition. The simulation results show the convergence performance, and demonstrate the advantage of the proposed resource allocation scheme compared with the random resource allocation scheme.
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