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In this paper, a resource allocation algorithm for maximizing the weighted sum energy efficiency(EE) is investigated in orthogonal frequency division multiple access(OFDMA) heterogeneous networks(HetNets). We aim to balance the EE of macro cell and low power nodes by subchannel and power allocations. We formulate the problem as a nonlinear sum-of-ratios programming issue, and guarantee data rate requirements of users by using minimum rate constraints. Due to the nonconvexity of the problem, we develop a heuristic subchannel assignment algorithm, and then solve the power allocation problem by parameterized transformations and a first-order approximation based on an iterative algorithm. Numerical results illustrate the convergence and the effectiveness of the proposed algorithm.
In this paper, a resource allocation algorithm for maximizing the weighted sum energy efficiency (EE) is investigated in orthogonal frequency division multiple access (OFDMA) heterogeneous networks (HetNets). We aim to balance the EE of macro cells and low power nodes by subchannel and power allocations. We formulate the problem as a nonlinear sum-of-ratios programming issue, and guarantee data rate requirements of users by using minimum rate constraints. Due to the nonconvexity of the problem, we develop a heuristic subchannel assignment algorithm, and then solve the power allocation problem by parameterized transformations and a first-order approximation based on an iterative algorithm. Numerical results illustrate the convergence and the effectiveness of the proposed algorithm.