Hybrid precoding for millimetre wave MIMO systems based on particle swarm optimisation

• Published in: IET communications Vol. 13; no. 11; pp. 1643 - 1650
• Main Authors: Cui, Mingyang, Zou, Weixia, Wang, Ye, Zhang, Ran
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 16.07.2019
• Subjects: analogue precoder; analogue precoding; cellular radio; channel coding; concave programming; cost‐effective hybrid precoding architecture; digital precoder; digital precoding; fully connected structures; hybrid precoding algorithms; hybrid precoding structures; least squares solution; local area networks; millimetre wave communication; millimetre wave MIMO systems; millimetre wave multiple‐input multiple‐output systems; MIMO communication; mmWave channel; mmWave MIMO systems; next‐generation cellular systems; nonconvex constraints; partially connected structures; particle swarm optimisation; particle swarm optimisation algorithm; precoding; PSO algorithm; Research Article; severe propagation loss; wireless channels; particle swarm optimisation; channel coding; digital precoder; PSO algorithm; digital precoding; local area networks; precoding; millimetre wave multiple-input multiple-output systems; cost-effective hybrid precoding architecture; millimetre wave MIMO systems; partially connected structures; next-generation cellular systems; least squares solution; nonconvex constraints; mmWave MIMO systems; mmWave channel; wireless channels; analogue precoder; MIMO communication; concave programming; hybrid precoding algorithms; particle swarm optimisation algorithm; millimetre wave communication; hybrid precoding structures; analogue precoding; severe propagation loss; fully connected structures; cellular radio
• ISSN: 1751-8628; 1751-8636; 1751-8636
• DOI: 10.1049/iet-com.2018.6081

Millimetre wave (mmWave) multiple-input multiple-output (MIMO) systems have been proposed to enable Gbps communication for next-generation cellular systems and local area networks. To compensate for the severe propagation loss of the mmWave channel, a cost-effective hybrid precoding architecture, combining a digital precoder and an analogue precoder, is widely used in mmWave MIMO systems. In this study, two hybrid precoding algorithms based on particle swarm optimisation (PSO) algorithm will be proposed for two different hybrid precoding structures, i.e. the fully connected and partially connected structures. First, the authors use the phase of the analogue precoding variable to replace the corresponding variable with the constraints of the unit norm to solve the non-convex constraints skillfully. Then they design analogue precoding by using PSO algorithm and compute the digital precoding based on the least squares solution. Finally, the proposed algorithms are compared with the existing advanced algorithms. Simulation results demonstrate that the proposed algorithms can approach the optimal performance under the corresponding structure.