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Performance Analysis in 5th Generation Massive Multiple-Input-Multiple-Output Systems

Authors: Jihad S. Daba, Jean-Pierre Dubois, Georges El Soury

Abstract:

Fifth generation wireless networks guarantee significant capacity enhancement to suit more clients and services at higher information rates with better reliability while consuming less power. The deployment of massive multiple-input-multiple-output technology guarantees broadband wireless networks with the use of base station antenna arrays to serve a large number of users on the same frequency and time-slot channels. In this work, we evaluate the performance of massive multiple-input-multiple-output systems (MIMO) systems in 5th generation cellular networks in terms of capacity and bit error rate. Several cases were considered and analyzed to compare the performance of massive MIMO systems while varying the number of antennas at both transmitting and receiving ends. We found that, unlike classical MIMO systems, reducing the number of transmit antennas while increasing the number of antennas at the receiver end provides a better solution to performance enhancement. In addition, enhanced orthogonal frequency division multiplexing and beam division multiple access schemes further improve the performance of massive MIMO systems and make them more reliable.

Keywords: Beam division multiple access, D2D communication, enhanced OFDM, fifth generation broadband, massive MIMO.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.2643912

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References:


[1] Y. Lim, C. Chae, and G. Caire, Performance Analysis of Massive MIMO for Cell-Boundary Users,” IEEE Transactions on Wireless Communications, Vol. 14, No. 12, pp. 6827-6842, Dec. 2015.
[2] J. Filho, C. Panazio, and T. Abrao, “Uplink Performance of Single-Carrier Receiver in Massive MIMO with Pilot Contamination,” IEEE Access, Vol. 5, pp.8669-8681, 2017.
[3] H. El Misilmani and A. El-Hajj, “Massive MIMO Design for 5G Networks: An Overview on Alternative Antenna Configurations and Channel Model Challenges,” International Conference on High Performance Computing and Simulations, Genoa, Italy, July 2017.
[4] A. Gupta and R. Jha, “A Survey of 5G Networks: Architectural and Emerging Technologies,” IEEE Access, Vol. 3, pp. 1206-1232, 2015.
[5] S. Patil, V. Patil, and P. Bhat, “A Review on 5G Technology,” International Journal of Engineering and Innovation Technology, Vol. 1, No. 1, pp. 26-30, 2012.
[6] E. Larsson, O. Edfors, F. Tufvesson, and T. Marzetta, “Massive MIMO for Next Generation Wireless Systems,” IEEE Communications Magazine, Vol. 52, No. 2, pp. 186-195, 2014.
[7] J. S. Daba, J. P. Dubois, and Y. Antar, “Peak Data Rate Enhancement Using Switched Micro-Macro Diversity in Cellular Multiple-Input-Multiple-Output Systems,” International Journal of Electronics and Communication Engineering, Vol. 11, No. 1, pp. 99-106, 2017.
[8] J. Dubois, R. Minkara, and R. Ayoubi, “Generalized Maximum Ratio Combining as a Supra-optimal Receiver Diversity Scheme”, Journal of the World Academy of Science, Engineering and Technology, Vol. 4, No. 8, pp. 907-911, 2010.
[9] R. Ayoubi, J. Dubois, and R. Minkara, “FPGA Implementation of Generalized Maximum Ratio Combining Receiver Diversity”, Journal of the World Academy of Science, Engineering and Technology, Vol. 4, No. 8, pp. 912-916, 2010.
[10] R. Minkara and J. Dubois, “Improved Root-Mean-Square-Gain-Combining for SIMO Channels,” International Journal of Electrical, Computer, and Systems Engineering, Vol. 3, No. 3, pp. 179-182, 2009.
[11] J. Daba, J. P. Dubois, and P. Jreije, “A Novel Receiver Diversity Combining Technique for Internet-Based 4G Wireless Communication”, Proceedings of the 9th International Conference on Signal Processing, Robotics and Automation (ISPRA'10), University of Cambridge, Cambridge, United Kingdom, pp. 127-132, February, 2010.
[12] J. Dubois and O. Abdul-Latif, “Novel Diversity Combining in OFDM-Based MIMO Systems,” Proceedings of the American Conference on Applied Mathematics, Harvard University, Cambridge, MA, USA, pp. 189-194, 2008.
[13] R. Ayoubi, J. Dubois and O. Abdul-latif, “FPGA Implementation of a Novel Receiver Diversity Combining Technique,” Proceedings of the IEEE International Conference on Signal Processing and Communications, Dubai, pp. 37-40, Nov. 2007.
[14] O. Abdul-Latif and J. Dubois, “LS-SVM Detector for RMSGC Diversity in SIMO Channels,” Proceedings of the IEEE International Conference on Information Sciences, Signal Processing and Its Applications, Dubai, pp. 1-4, Feb. 2007.
[15] O. Abdul-Latif and J. Dubois, “Performance of UWB System in a Partially Developed Fading Channel with CCI,” Proceedings of the IEEE 5th GCC Communication and Signal Processing Conference, Kuwait, pp. 1-5, March 2009.
[16] J. S. Daba and M. R. Bell, “Synthetic-Aperture-Radar Surface Reflectivity Estimation Using a Marked Point-Process Speckle Model,” Optical Engineering, Vol. 42, No. 1, pp.211-227, January 2003.
[17] J. S. Daba and J. P. Dubois, “Statistical Modeling of Mobile Fading Channels Based on Triply Stochastic Filtered Marked Poisson Point Processes,” International Journal of Electronics and Communication Engineering, Vol. 11, No. 1, pp. 83-87, 2017.
[18] J. Dubois, “Estimation of the SNR for Wireless Systems in a Local Fading Environment with Multi-Element Antennas,” Proceedings of the 13th EURASIP International Conference on Signal Processing, Turkey, Sept. 2005.
[19] J. Dubois, “Estimation Algorithms for Quantitative Tissue Characterization in Ultrasound Images Using Doubly Stochastic Translated Point Processes,” Proceedings of the 2nd International Conference on Advances on Medical Signal and Information Processing (MEDSIP 2004), Valleta, Malta, Sept. 2004.
[20] J. Dubois, “Traffic Estimation in Wireless Networks Using Filtered Doubly Stochastic Point Processes”, Proceedings of IEEE International Conference on Electrical, Electronic, and Computer Engineering, Cairo, Egypt, pp. 116-119, September 2004.
[21] J. S. Daba and M. R. Bell, “Estimation of the Surface Reflectivity of SAR Images Based on a Marked Poisson Point Process Model,” Proceedings of the IEEE International Symposium on Signals, Systems, and Electronics, San Francisco, USA, pp. 183-186, October 25, 1995.
[22] J. S. Daba, “Statistical Modeling of Local Area Fading Channels Based on Triply Stochastic Filtered Marked Poisson Point Processes,” International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, Vol. 9, No. 7, pp. 726-731, 2015.
[23] J. Daba and P. Jreije, “Advanced Stochastic Models for Partially Developed Speckle,” International Journal of Electrical and Electronics Engineering, Vol. 3, No. 3, pp. 183-187, 2009.
[24] J. S. Daba and M. R. Bell, “Segmentation of Speckled Images Using a Likelihood Random Field Model,” Optical Engineering, Vol. 47, No. 1, pp. 017005-1 to 017005-20, Jan. 2008.
[25] J. Daba, “Improved Segmentation of Speckled Images Using an Arithmetic-to-Geometric Mean Ratio Kernel”, International Journal of Electrical, Robotics, Electronics and Communications Engineering, Vol. 1, No. 10, pp.1454-1457, 2007.
[26] J. Dubois and O. Abdul-Latif, “Detection of Ultrasonic Images in the Presence of a Random Number of Scatterers: A Statistical Learning Approach,” Journal of the World Academy of Science, Engineering and Technology, Vol. 1, No. 12, pp. 542-545, 2007.
[27] J. S. Daba and M. R. Bell, “Object Discrimination and Orientation-Determination in Synthetic Aperture Radar Images,” Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, NASA, Houston, TX, USA, Vol. 2, pp. 877-880, May 23-29, 1992.
[28] J. S. Daba and M. R. Bell, “Object Discrimination and Orientation-Determination in Speckled Images,” Optical Engineering, Vol. 33, No. 4, pp. 1287-1302, April 1994.
[29] J. Dubois and O. Abdul-Latif, “SVM-Based Detection of SAR Images in Partially Developed Speckle Noise,” Journal of the World Academy of Science, Engineering and Technology, Vol. 1, No. 12, pp. 546-550, 2007.
[30] A. Abdi, S. Nader-Esfahani, J. S. Daba and M. R. Bell, “Comments on Statistics of the Scattering Cross Section of a Small Number of Random Scatterers,” IEEE Transactions on Antennas and Propagation, Vol. 48, No. 5, pp. 844-845, May 2000.
[31] J. S. Daba and M. R. Bell, “Statistics of the Scattering Cross Section of a Small Number of Random Scatterers,” IEEE Transactions on Antennas and Propagation, Vol. 43, No. 8, pp. 773-783, August 1995.
[32] J. Daba and P. Jreije, “Probability Distributions for Multiplicative Noise in Internet Associated Wireless Cells and in Speckled Images,” Proceedings of the Conference on Applied Mathematical Problems, Ukrainian Math. Congress, Kiev, Ukraine, pp. 246-253, Aug. 2009.
[33] J. Dubois, “Poisson Modulated Stochastic Model for Partially Developed Multi-Look Speckle,” Proceedings of the American Conference on Applied Mathematics, Harvard University, Cambridge, MA, USA, pp. 209-213, 2008.
[34] J. Dubois, “Scattering Statistics of Doppler Faded Acoustic Signals Using Speckle Noise Models,” Proceedings of the 8th IEEE International Conference on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, Lviv, Ukraine, pp. 185-189, Sept. 2003.
[35] J. Dubois, “Segmentation of Speckled Ultrasound Images Based on a Statistical Model,” Proceedings of the 16th EURASIP International Conference (Biosignal’2002), Brno, Czech Republic, Vol. 16, pp. 377-380, June 2002.
[36] J. S. Daba and M. R. Bell, “Statistical Distributions of Partially Developed Speckle Based on a Small Number of Constant Scatterers with Random Phase,” Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, California Institute of Technology, Pasadena, CA, USA, Vol. 4, pp. 2338 - 2341, August 8-12, 1994.