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Using Massive MIMO and Small Cells to Deliver a Better Energy-Efficient Cognitive Radio Network


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DOI: https://doi.org/10.15866/irecap.v6i5.9781

Abstract


Energy efficiency in cognitive radio networks is gradually receiving a lot of significant attention lately due to the gradual increase in the energy consumption of the network. In order to enable a more efficient energy network and to facilitate higher spectral utilization, adequate measures need to be employed to foster and improve energy efficiency. In this work, a massive multi-input and multi-output (MIMO) antenna base station co-existing with small cells base stations are introduced to efficiently optimize the energy in cognitive radio networks. An energy efficiency optimization problem was formulated and Dinkelbach method is used to solve the problem iteratively. Our simulation results show that the inclusion of more antennas in the macro base station can significantly reduce the total power consumed in the network and also that the energy efficiency of the network can be greatly improved when an optimal base station is selected for transmission.
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Keywords


Cognitive Radio Networks; Energy Efficiency; MIMO; Small Cells

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References


J. Mitola III and G. Q. Maguire, “Cognitive radio: making software radios more personal,” IEEE personal Communications, Volume 6, August, 1999, Pages 13-18.
http://dx.doi.org/10.1109/98.788210

G. Scutari, D. Palomar and S. Barbarossa, “Cognitive MIMO radio”, IEEE Signal Processing Magazine, Volume 25, (Issue 6), November, 2008. Pages 46-59.
http://dx.doi.org/10.1109/msp.2008.929297

J. Hoydis, M. Kobayashi and M. Debbah. “Green small-cell networks”, IEEE Vehicular Technology Magazine, Volume 6, (Issue 1), March, 2011. Pages 37-43.
http://dx.doi.org/10.1109/mvt.2010.939904

E. Larrson, O. Edfors, F. Tufvesson and T. Marzetta, “Massive MIMO for next generation wireless systems” IEEE Communications Magazine, Volume 52, (Issue 2), February, 2014, Pages 186-195.
http://dx.doi.org/10.1109/mcom.2014.6736761

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 Processing Magazine, Volume 30, (Issue 1), January, 2013, Pages 40-60.
http://dx.doi.org/10.1109/msp.2011.2178495

N. Bhushan, J. Li, D. Malladi, R. Gilmore, D. Brenner, A. Damnjanovic, R. T. Sukhavasi, C. Patel, and S. Geirhofer, “Network densification: The dominant theme for wireless evolution into 5g,” IEEE Communications Magazine, Volume 52, (Issue 2), February, 2014, Pages 82–89.
http://dx.doi.org/10.1109/mcom.2014.6736747

Belghiti, I., Elmachkour, M., Berrada, I., Omari, L., Green Cognitive Radio Networks by Using Coalitional Game Approach in Partition Form, (2014) International Review on Computers and Software (IRECOS), 9 (10), pp. 1705-1711.
http://dx.doi.org/10.15866/irecos.v9i10.3765

E. Orumwense, V. Srivastava and T. Afullo, “Secondary user energy consumption in cognitive Radio networks” In Proceedings of the IEEE AFRICON Conference, pp. 1-5, Addis Ababa, Ethiopia, September, 2015.
http://dx.doi.org/10.1109/afrcon.2015.7332044

X. Yongiun, and Z. Xiaohui. “Optimal power allocation for multiuser underlay cognitive radio networks under QoS and interference temperature constraints” IEEE China Communications, Volume 10, (Issue 10), October 2013, Pages 91-100.
http://dx.doi.org/10.1109/cc.2013.6650322

S. Hua, H. Liu, M. Wu and S. Panwar, “Exploiting MIMO antennas in cooperative cognitive radio networks”, In Proceedings of the IEEE INFOCOM Conference, pp. 2714-2722, Shanghai China, April 2011.
http://dx.doi.org/10.1109/infcom.2011.5935102

W. Liu, S. Han, C. Yang and C. Sun, “Massive MIMO or small-cell network: who is more energy efficient?” In Proceedings of IEEE Wireless Communications and Networking Conference Workshops (WCNCW), pp. 24-29, Shanghai, China. April 2013.
http://dx.doi.org/10.1109/wcncw.2013.6533309

E. Bjornson, M. Kountouris and M. Debbah, “Massive MIMO or small cells: Improving energy efficiency by optimal soft-cell coordination”, In Proceedings of the IEEE conference on Telecommunications (ICT), pp. 1-5, Casablanca, Morocco, May 2013,
http://dx.doi.org/10.1109/ictel.2013.6632074

L. Fu, Y. Zhang and J. Huang, “Energy-efficient transmissions in MIMO cognitive radio networks”, IEEE Journals on Selected Areas in Communications, Volume 31, (Issue 11), November 2013, Pages 2420-2431.
http://dx.doi.org/10.1109/jsac.2013.131127

H. Holma and A. Toskala, “LTE Advanced: 3GPP Solution for IMT Advanced. (John Wiley & Sons. Ltd, 2012).
http://dx.doi.org/10.1002/9781118399439

S. Schaible, “Fractional programming II: on Dinkelbach’s algorithm”, Management Science, Volume 22, (Issue 8), October, 1976, Pages 866-873.
http://dx.doi.org/10.1287/mnsc.22.8.868

W. Dinkelbach, “On nonlinear fractional programming,” Management Science, Volume 13, (Issue 7), March, 1987. Pages 492-498.
http://dx.doi.org/10.1287/mnsc.13.7.492

N. Vucic, S. Shi and M. Schubert, “DC programming approach for resource allocation in wireless networks”, In Proceedings of the IEEE International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (Wiopt), pp. 380-386, Avignon, France. June 2010.
http://dx.doi.org/10.1109/wiopt.2005.11

H. Al-Shatri and T. Weber, “Achieving the maximum sum rate using D.C programming in cellular networks”, IEEE Transactions on Signal Processing, Volume 60, (Issue 3), March 2012, pp. 1331-1341.
http://dx.doi.org/10.1109/tsp.2011.2177824

G. Auer et al. Deliverable D2.3: Energy efficiency analysis of the reference systems, areas of improvements and target breakdowns. (INFSO-ICT-247733 EARTH, ver. 2.0, 2012).
http://dx.doi.org/10.1016/0013-7480(79)90019-6

3GPP, Further advancements for E-UTRA physical layer aspects (Release 9). 3GPP TS 36.814, March, 2010.
http://dx.doi.org/10.7763/ijcee.2010.v2.232

Orumwense, E., Oyerinde, O., Mneney, S., Impact of Primary User Emulation Attacks on Cognitive Radio Networks, (2014) International Journal on Communications Antenna and Propagation (IRECAP), 4 (1), pp. 19-26.


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