Chicken Swarm Optimization Based Optimal Channel Allocation in Massive MIMO

Energy efficiency (EE) plays a significant role in the progress towards Fifth-generation (5G) wireless communication networks. Massive multiple-input multiple-output (MIMO) is viable concept for 5G networks due to greater SE and EE. In this work, Channel Selection (CS) scheme proposed by selecting optimal channel using Chicken Swarm Optimization (CSO) algorithm. A massive MIMO model implemented considering The main objective optimize beam-forming vectors power allocation all users. multi-objective function can be defined develop an effective robust design with balanced generating beam forming satisfying signal interference-plus-noise ratio (SINR) constraints. Based on characteristics, CSO Algorithm used produce distribution. projection matrix estimating framework created once state information predicted. selection of index sets iteration process provides optimized channel. Data transmission performed through According comparison analysis, suggested CS offers superior EE existing schemes.