Peak Data Rate Enhancement Using Switched Micro-Macro Diversity in Cellular Multiple-Input-Multiple-Output Systems
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Peak Data Rate Enhancement Using Switched Micro-Macro Diversity in Cellular Multiple-Input-Multiple-Output Systems

Authors: Jihad S. Daba, J. P. Dubois, Yvette Antar

Abstract:

With the exponential growth of cellular users, a new generation of cellular networks is needed to enhance the required peak data rates. The co-channel interference between neighboring base stations inhibits peak data rate increase. To overcome this interference, multi-cell cooperation known as coordinated multipoint transmission is proposed. Such a solution makes use of multiple-input-multiple-output (MIMO) systems under two different structures: Micro- and macro-diversity. In this paper, we study the capacity and bit error rate in cellular networks using MIMO technology. We analyse both micro- and macro-diversity schemes and develop a hybrid model that switches between macro- and micro-diversity in the case of hard handoff based on a cut-off range of signal-to-noise ratio values. We conclude that our hybrid switched micro-macro MIMO system outperforms classical MIMO systems at the cost of increased hardware and software complexity.

Keywords: Cooperative multipoint transmission, ergodic capacity, hard handoff, macro-diversity, micro-diversity, multiple-input-multiple-output systems, MIMO, orthogonal frequency division multiplexing, OFDM.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1128991

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References:


[1] C. B. Chae, S. Kim, and R. W. Heath Jr., “Network Coordinated Beamforming for Cell-boundary Users: Linear and Non-linear Approaches,” IEEE Journal on Sel. Topics in Sig. Proc, Vol. 3, No. 6, pp. 1094-1105, Dec. 2009.
[2] J. Zhang, J. G. Andrews, A. Ghosh, and R. W. Heath, Jr., “Networked MIMO with Clustered Linear Precoding,” IEEE Trans. On Wireless, Vol. 8, No. 4, pp. 1910-1921, April 2009.
[3] R. W. Heath Jr., T. Wu, and A. C. K. Soong, “MIMO Spatial Mode Adaptation at the Cell Edge Using Interferer Spatial Correlation,” Proc. of the IEEE Vehicular Tech. Conf., Barcelona, Spain, pp. 1-6, Apr. 26-29, 2009.
[4] S. Shim, J. S. Kwak, R. W. Heath Jr., and J. G. Andrews, “Block Diagonalization for Multi-User MIMO with Other-Cell Interference,” IEEE Trans. On Wireless, Vol. 7, No. 7, pp. 2671-2681, July 2008.
[5] I. Oucachani, P. Duhamel, K. Gosse, and S. Rouquette-Leveil, “Macro-diversity Versus Micro-Diversity System Capacity with Realistic Receiver RFFE Model,” IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, pp. 865-869, 2005.
[6] D. A. Basnayaka, P. J. Smith, and P. A. Martin, “Ergodic Sum Capacity of Macrodiversity MIMO Systems in Fat Rayleigh Fading,” Information Theory Proceedings, pp. 2171-2175, 2012.
[7] L. Sun, Z. Ye and Z. Zhang, “Base Station Coordinated Multi-user Detection in Multi-cell MIMO Cellular Systems,” Information Technology Journal, pp. 134-139, 2011.
[8] W. Choi and J. G. Andrews, “The Capacity Gain from Intercell Scheduling in Multi-Antenna Systems,” IEEE Transactions on Wireless Communications, Vol. 7, No. 2, Feb. 2008.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] 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.
[14] 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.
[15] 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.
[16] 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.
[17] 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.
[18] 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.
[19] 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.
[20] 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.
[21] 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.
[22] 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.
[23] 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.
[24] 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.
[25] 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.
[26] 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.
[27] 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.
[28] 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.
[29] 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.
[30] 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.
[31] 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.
[32] 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.
[33] 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.
[34] 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.
[35] 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.
[36] 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.