Particle Swarm Optimization Applied to Control of Mutual Coupling in MIMO Systems

This paper presents a modeling for Multiple Input Multiple Output (MIMO) system considering the mutual coupling between antennas array elements. The conventional-mutual-impedance method (CMIM) and the receiving-mutual-impedance method (RMIM) are considered due to their and good approximation of real models. It presents a lower limit for the distance among the antenna elements in which the mutual coupling effect is minimized and also the importance of the CMIM and RMIM methods in MIMO systems projects. Simulation results show an improvement in the channel capacity performance of 9% for the MIMO 3×3 system.

[1]  Yang Li,et al.  Full dimension MIMO for LTE-Advanced and 5G , 2015, 2015 Information Theory and Applications Workshop (ITA).

[2]  Upena Dalal,et al.  Wireless Communication , 2010 .

[3]  Francisco Madeiro,et al.  Spatial Correlation for DoA Characterization Using Von Mises, Cosine, and Gaussian Distributions , 2011 .

[4]  Qing Wang,et al.  A Survey on Device-to-Device Communication in Cellular Networks , 2013, IEEE Communications Surveys & Tutorials.

[5]  Hui A new definition of mutual impedance for application in dipole receiving antenna arrays , 2004, IEEE Antennas and Wireless Propagation Letters.

[6]  Yahong Rosa Zheng,et al.  Higher Rank Principal Kronecker Model for Triply Selective Fading Channels With Experimental Validation , 2015, IEEE Transactions on Vehicular Technology.

[7]  Jeffrey G. Andrews,et al.  What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.

[8]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[9]  Hon Tat Hui A practical approach to compensate for the mutual coupling effect in an adaptive dipole array , 2004, IEEE Transactions on Antennas and Propagation.

[10]  David G. Michelson,et al.  Optimization of Antenna Placement in Distributed MIMO Systems for Underground Mines , 2014, IEEE Transactions on Wireless Communications.

[11]  Shiyang Lu,et al.  Optimizing MIMO Channel Capacities Under the Influence of Antenna Mutual Coupling , 2008, IEEE Antennas and Wireless Propagation Letters.

[12]  Volker Nissen,et al.  Application of particle swarm optimization to the British Telecom workforce scheduling problem , 2013 .

[13]  Ju-Hong Lee,et al.  Optimal beamforming-selection spatial precoding using population-based stochastic optimization for massive wireless MIMO communication systems , 2017, J. Frankl. Inst..

[15]  Hon Tat Hui,et al.  A Note on the Mutual-Coupling Problems in Transmitting and Receiving Antenna Arrays , 2009, IEEE Antennas and Propagation Magazine.

[16]  J. Massey Applied Digital Information Theory II , 2022 .

[17]  Zhenyu Shi,et al.  Millimeter-Wave Mobile Communications , 2017 .

[18]  Min-Hui Ho,et al.  Optimisation of channel capacity for multiple-input multiple-output smart antenna using a particle swarm optimiser , 2012, IET Commun..

[19]  Hon Tat Hui,et al.  Mutual Coupling in Antenna Arrays , 2010 .

[21]  Marek E. Bialkowski,et al.  Effect of Antenna Mutual Coupling on MIMO Channel Estimation and Capacity , 2010 .

[22]  Dac-Nhuong Le,et al.  A Novel Particle Swarm Optimization-based Algorithm for the Optimal Centralized Wireless Access Network , 2013 .

[23]  Marcelo Sampaio de Alencar,et al.  Genetic algorithm optimization applied to the project of MIMO systems , 2017, 2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM).

[24]  C. J. A. Bastos-Filho,et al.  Bio-inspired optimization of blocked calls in cellular mobile systems , 2015, 2015 International Workshop on Telecommunications (IWT).

[25]  Arun Agarwal,et al.  The 5th Generation Mobile Wireless Networks- Key Concepts, Network Architecture and Challenges , 2015 .

[26]  Hon Tat Hui,et al.  Improved DOA Estimations Using the Receiving Mutual Impedances for Mutual Coupling Compensation: An Experimental Study , 2011, IEEE Transactions on Wireless Communications.

[27]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[28]  A. Robert Calderbank,et al.  MIMO Wireless Communications , 2007 .

[29]  Seung-Jun Yu,et al.  Wireless Communication , 1916, Nature.