Simulating-Massive-Multiple-Input-Multiple-Output-and-Small-Cells

Helpful Tools/Materials

• https://in.mathworks.com/help/comm/ug/massive-mimo-hybrid-beamforming.html
• https://massivemimobook.com/wp/
• https://github.com/emilbjornson?tab=repositories
• http://cvxr.com/cvx/
• http://cvxr.com/cvx/doc/install.html

References:

• E. Bjornson and E. Jorswieck, “Optimal resource allocation in coordinated multi-cell systems,” Foundations and Trends in Communications and Information Theory, vol. 9,no.23, pp. 113–381, 2013

• https://massivemimobook.com/wp/

• emil bjornson,Associate Professor at Linköping University,Sweden,https://github.com/emilbjornson?tab=repositories

• CVX Research Inc., “CVX: Matlab software for disciplined convex programming, version 2.0 beta,” http://cvxr.com/cvx, 2012

• CVX Research Inc., “CVX: Matlab software for disciplined convex programming, version 2.0 beta,http://cvxr.com/cvx/doc/install.html, 2012

• S. Parkvall, E. Dahlman, G. Jongren, S. Landstr ¨ om, and L. Lindbom, ¨ “Heterogeneous network deployments in LTE – the soft-cell approach,” Ericsson Review, no. 2, 201

• J. Hoydis, M. Kobayashi, and M. Debbah, “Green small-cell networks,” IEEE Veh. Technol. Mag., vol. 6, no. 1, pp. 37–43, 2011

• H. Holma and A. Toskala, LTE Advanced: 3GPP Solution for IMTAdvanced, 1st ed. Wiley, 2012

• R. Kumar and J. Gurugubelli, “How green the LTE technology can be?” in Proc. Wireless VITAE, 2011

• M. Bengtsson and B. Ottersten, “Optimal and suboptimal transmit beamforming,” in Handbook of Antennas in Wireless Communications, L. C. Godara, Ed. CRC Press, 2001

• S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge University Press, 2004

• J. Sturm, “Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones,” Optimization Methods and Software, vol. 11-12, pp. 625–653, 1999 Further advancements for E-UTRA physical layer aspects (Release 9). 3GPP TS 36.814, Mar. 2010

• F. Rusek, D. Persson, B. Lau, E. Larsson, T. Marzetta, O. Edfors, and F. Tufvesson, “Scaling up MIMO: Opportunities and challenges with very large arrays,” IEEE Signal Process. Mag., vol. 30, no. 1, pp. 40– 60, 2013

• J. Hoydis, S. ten Brink, and M. Debbah, “Massive MIMO in the UL/DL of cellular networks: How many antennas do we need?” IEEE J. Sel. Areas Commun., vol. 31, no. 2, pp. 160–171, 2013

• S. Cui, A. Goldsmith, and A. Bahai, “Energy-constrained modulation optimization,” IEEE Trans. Wireless Commun., vol. 4, no. 5, pp. 2349– 2360, 2005

• G. Auer and et al., D2.3: Energy efficiency analysis of the reference systems, areas of improvements and target breakdown. INFSO-ICT247733 EARTH, ver. 2.0, 2012

• D. Ng, E. Lo, and R. Schober, “Energy-efficient resource allocation in OFDMA systems with large numbers of base station antennas,” IEEE Trans. Wireless Commun., vol. 11, no. 9, pp. 3292–3304, 2012

• E. Bjornson, N. Jald ¨ en, M. Bengtsson, and B. Ottersten, “Optimality ´ properties, distributed strategies, and measurement-based evaluation of coordinated multicell OFDMA transmission,” IEEE Trans. Signal Process., vol. 59, no. 12, pp. 6086–6101, 2011.

• Emil Björnson, Marios Kountouris, Mérouane Debbah, “Massive MIMO and Small Cells: Improving Energy Efficiency by Optimal Soft-Cell Coordination,” Proceedings International Conference on Telecommunications (ICT), Casablanca, Morocco, May 2013