Particle Swarm Optimization Based Beamforming in Massive MIMO Systems

• Main Authors: Thaar A. Kareem, Maab Alaa Hussain, Mays Kareem Jabbar
• Format: Article
• Language: English
• Published: International Association of Online Engineering (IAOE) 2020-04-01
• Series: International Journal of Interactive Mobile Technologies
• Subjects: millimeter-wave, beamforming, massive mimo, pso optimization
• Online Access: https://online-journals.org/index.php/i-jim/article/view/13701

<p>This research puts forth an optimization- based analog beamforming scheme for millimeter-wave (mmWave) massive MIMO systems. Main aim is to optimize the combination of analog precoder / combiner matrices for the purpose of getting near-optimal performance. Codebook-based analog beamforming with transmit precoding and receive combining serves the purpose of compensating the severe attenuation of mmWave signals. The existing and traditional beamforming schemes involve a complex search for the best pair of analog precoder / combiner matrices from predefined codebooks. In this research, we have solved this problem by using Particle Swarm Optimization (PSO) to find the best combination of precoder / combiner matrices among all possible pairs with the objective of achieving near-optimal performance with regard to maximum achievable rate. Experiments prove the robustness of the proposed approach in comparison to the benchmarks considered. <strong></strong></p><p class="IndexTerms"> </p>