Energy Efficient Resource Allocation for 5G Heterogeneous Networks using Genetic Algorithm

Xiaomin Qi, Shahid Khattak, Alam Zaib, Imdad Khan
2021 IEEE Access  
The energy efficient resource allocation scheme based on genetic algorithm (GA) for the downlink orthogonal frequency division multiple access (OFDMA) heterogeneous networks (HetNets) is developed in this paper. To maximize the spectrum efficiency for the fifth generation (5G) mobile networks, frequency reuse-1 is employed. Thus, advanced inter-cell interference coordination techniques are required to mitigate the inter-cell interference for 5G HetNets. In this paper, the energy efficient
more » ... zation problem based on coordinated scheduling is formulated, which is a mixed-integer nonlinear fractional programming problem and is intractable to solve directly. To tackle this, a two-step GA based scheme is proposed to solve the optimization problem. In the first step, the resource blocks matrix is solved by normal GA in the spectral efficiency aspect with fixed power distribution matrix, and then the power distribution matrix is obtained in the second step by non-dominated sorting genetic algorithm II (NSGA-II) with obtained resource blocks allocation matrix. Finally, the system level numerical evaluation process is provided to illustrate the effectiveness of the developed scheme. INDEX TERMS Energy efficiency, resource allocation, heterogeneous networks, genetic algorithm.
doi:10.1109/access.2021.3131823 fatcat:27ihbqcsvvcrlptvodlz5kcl6q