Chicken Swarm Optimization based Optimal Channel Allocation in Massive MIMO

Energy Efficiency (EE) plays a significant role in the progress towards the Fifth-Generation (5G) wireless communication networks. Due to the higher Spectral Efficiency (SE) and EE, Massive Multiple-Input Multiple-Output (MIMO) is a promising model for the 5G networks. In this work, a Channel Selection (CS) scheme is proposed by selecting the optimal channel using the Chicken Swarm Optimization (CSO) algorithm. A massive MIMO model is implemented by considering the SE, EE and Resource Efficiency (RE). The main objective is to optimize the beam-forming vectors and power allocation for all the users. The RE metric considering the multi-objective function can be defined to develop an effective and robust design with balanced SE and EE. The objective function for generating the optimal beam forming vectors is satisfying the Signal to Interference-Plus-Noise Ratio (SINR) constraints. The CSO Algorithm is applied to generate the beam-forming vectors and power allocation, based on the channel characteristics. The channel state information is predicted and a projection matrix with channel estimation framework is formed. The selection of the index sets in the iteration process provides the optimized channel. Data transmission is performed through the optimal channel. From the comparative analysis, it is observed that the proposed CS scheme provides better SE and EE than the existing CS schemes.