Genetic Algorithm-Based Power Allocation for Multiuser MIMO-OFDM Femtocell Networks with ZF Beamforming

Abstract

In this paper, a power allocation algorithm is proposed for multiuser MIMO-OFDM femtocell networks on downlink, where an objective considers the maximization of the SINR of a macro user that is near the femto base station. Since the macro and the femto base stations share the same spectrum, there is a co-channel interference problem. We propose a power allocation method based on genetic algorithms to enhance the SINR of the macro user. In addition, we also utilize the zero-forcing beamforming design to alleviate the co-channel interference. The simulation results show that the proposed genetic algorithm-based power allocation method with zero-forcing beamforming reveals the best performance, and outperforms the method with equal power allocation.Index Terms-Multiple input multiple output (MIMO), orthogonal frequency division multiplexing (OFDM), power allocation, Zero-Forcing beamforming, Femto, genetic algorithm.

Resource Allocation in Multi-User MIMO-OFDM Systems with Double-objective Optimization

“…They first estimate the delay and antenna configuration in sleep mode by using average channel condition, and then obtain timely channel state information at the sending end; according to these information, they finally find the optimal antenna configuration, resource allocation scheme and the number of time slots using discontinuous transmission. Authors in [15] introduce a power optimization algorithm in femtocell networks. They use the zero-forcing beamforming to remove interference among users, and then utilize genetic algorithm for power allocation in order to improve signal-to-noise ratio (SNR) of the system to a certain extent.…”

“…The MU-MIMO channels on each subcarrier are equivalent to multiple independent SU-MIMO channels. All elements in (15) are matrices after block diagonalization, namely, all other elements except diagonal elements are 0.…”