Energy Efficient Design of Massive MIMO by Incorporating with Mutual Coupling
Demand for having a higher throughput and spectral efficiency has been getting increased exponentially with every passing year. Future generation networks will have to deal with large number of users, offering a higher spectral efficiency, less power consumptions and with increased energy efficiency. Massive Multiple-Input Multiple-Output (MIMO) has proved to be an auspicious candidate in that context. It purveys higher spectral and energy efficiency by adopting large number of transmitting antennas which in turn requires a large number of transceiver chains. In this paper we have assumed that transmitting antennas are closely placed, resulting into the phenomena of mutual coupling because in practical situations transmitting antennas have to deal with some sort of mutual coupling. We have estimated the performance of Massive MIMO by calculating the achievable rate at different number of transmitting antennas and users by considering the overhead factor and mutual coupling. Moreover we have maximized the energy efficiency of Massive MIMO and calculated the optimal number of transmitters and receivers by incorporating with overhead factor and mutual coupling at different area of coverage.
Copyright © 2017 Praise Worthy Prize - All rights reserved.
Q. Li, G. Li, W. Lee, M. il Lee, D. Mazzarese, B. Clerckx and Z. Li, Mimo techniques in wimax and lte: a feature overview, Communications Magazine, IEEE, vol. 48, no. 5, pp. 86–92, May 2010.
L. Hanzo, Y. Akhtman, L. Wang, and M. Jiang, MIMO-OFDM for LTE, WiFi and WiMAX: Coherent versus Non-coherent and Cooperative Turbo Transceivers, IEEE Press and John Wiley & Sons, November 2010.
E.G. Larsson, F. Tufvesson, O. Edfors, and T. L. Marzetta, Massive MIMO for next generation wireless systems, IEEE Commun. Mag 2013, Available:http://arxiv.org/abs/1304.6690.
T . L. Marzetta, Noncooperative cellular wireless with unlimited numbers of base station antennas, IEEE Trans. Wireless Commun., vol. 9,no. 11, pp. 3590–3600, Nov. 2010.
Y.- H. Nam, B. L. Ng, K. Sayana, Y. Li, J. C. Zhang, Y. Kim, and J. Lee, Full-dimension MIMO (FD-MIMO) for next generation cellular technology, IEEE Commun. Mag., vol. 51, no. 6, pp. 172–178, 2013.
C Shepard, H. Yu, N. Anand, L. E. Li, T. L. Marzetta, R. Yang, and L. Zhong, Argos: Practical many-antenna base stations, in Proc. ACM Int. Conf. Mobile Computing and Networking (MobiCom), Istanbul,Turkey, Aug. 2012.
F. Rusek, D. Persson, B. K. Lau, E. G. Larsson, T. L. 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, Jan. 2013.
E. G. Larsson, F. Richter, A. J. Fehske and G. P. Fettweis, Energy efficiency aspects of base station deployment strategies for cellular networks, in Proc. IEEE VTC–Fall, pp. 1–5,2009.
Y. Yang et al., Guest editorial spectrum and energy efficient design of wireless communication networks: Part I, IEEE J. Sel. Areas Commun.,vol. 31, no. 5, pp. 825–828, May 2013.
R. Min and A. Chandrakasan, A framework for energy-scalable communication in high-density wireless networks, in Low Power Electronics and Design, ISLPED 02, Proceedings of the 2002.
Shuguang Cui, Andrea J. Goldsmith, and Ahmad Bahai, Energy-constrained modulation optimization, IEEE Trans. Wireless Commun., vol. 4, no. 5, pp. 2349 – 2360, Sept. 2005.
H. S. Kim and B. Daneshrad, Energy-aware link adaptation for MIMO OFDM based wireless communication, Military Communications Conference, 2008. MILCOM 2008. IEEE, San Diego, CA, pp. 1–7, Nov. 2008.
A. He, S. Srikanteswara, K. K. Bae, T. R. Newman, J. H. Reed, W. H.Tranter, M. Sajadieh, and M. Verhelst, System power consumption minimization for multichannel communications using cognitive radio, IEEE International Conference on, Tel Aviv,Isreal, Nov. 9-11 2009.
S. Cui, A. J. Goldsmith and A. Bahai, Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks, IEEE J. Sel. Areas Commun., vol. 22, no. 6, pp. 1089–1098, Aug. 2004.
S. Gao, L. Qian, D. R. Vaman and Q. Qu, Energy efficient adaptive modulation in wireless cognitive radio sensor networks, IEEE International Conference on, Glasgow, Scotland, pp. 3980–3986, 24-28 June 2007.
A. He, S. Srikanteswara, J. H. Reed, X. Chen, W. H. Tranter, K. K. Bae, and M. Sajadieh, Minimizing energy consumption using cognitive radio, Performance, Computing and Communications Conference, 2008. IPCCC 2008. IEEE International, Austin, TX, pp. 372–377, Dec. 7-9 2008.
J. Xu, S. Li, L. Qiu, B. S. Slimane, and C. Yu, Energy efficient downlink MIMO transmission with linear precoding, Sci. Chin. Inf. Sci., vol. 56,no. 2, pp. 1–12, Feb. 2013
E. K. H. Chen and J. F. Kiang, Effect of mutual coupling on the channel capacity of MIMO systems, IEEE Trans. on Vehicular Technology, pp. 1-7, 2015
E. I. J. Gupta and A. A. Ksienski, Effect of mutual coupling on the performance of adaptive arrays, IEEE Trans. Antennas Propag., vol. 31, no. 5, pp.785–791, Sept. 1983.
E J. Lee, S. Kim, and J. Jang, Reduction of mutual coupling in planar multiple antenna by using 1D EBG and SRR structures, IEEE Trans. on Antennas and Propagation, vol. 63, no. 9, pp. 4194-4198, 2015.
E. Z. Li, Z. Du, M. Takahashi et al., Reducing mutual coupling of MIMO antennas with parasitic elements for mobile terminals, IEEE Trans on Antennas and Propagation, vol. 60, no. 2, pp. 473-481,2012.
E S. Mohammed, Impact of transceiver power consumption on the energy efficiency spectral efficiency tradeoff of zero-forcing detector in massive MIMO systems, submitted to the IEEE, Available :https://arxiv.org/abs/1401.4907
E. Bjornson, L. Sanguinetti, J. Hoydis and M. Debbah, Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the answer?, submitted to the IEEE, available: http://arxiv.org/abs/1403.6150.
Peng li, Yanxiang Jiang, Wei Li and Xiaohu You, A CDMP based approach for energy efficient power allocation in Massive Mimo Systems, IEEE Wireless Conference and Networking Congerence(WCNC 2016).
E. Bjornson, M. Matthaiou, and M. Debbah, Massive MIMO systems with hardware-constrained base stations, Proc. IEEE Int. Conf. Aco., Spe., Signal Process. (ICASSP), 2014.
Z. Jiang, A. Molisch, G. Caire, and Z. Niu, Achievable rates of FDD massive MIMO systems with spatial channel correlation, IEEE Trans. Wireless Commun., vol. 14, no. 5, pp. 2868–2882, May 2015.
J. Choi, D. Love, and P. Bidigare, Downlink training techniques for FDD massive MIMO systems: Open-loop and closed-loop training with memory, IEEE J. Sel. Topics Signal Process., vol. 8, no. 5, pp. 802–814,Oct. 2014.
J. Choi, Z. Chance, D. Love, and U. Madhow, Noncoherent trelliscoded quantization: A practical limited feedback technique for massive MIMO systems, IEEE Trans. Commun., vol. 61, no. 12, pp. 5016–5029, Dec. 2013.
X. Rao and V. K. Lau, Distributed compressive CSIT estimation and feedback for FDD multi-user massive MIMO systems, IEEE Trans. Signal Process., vol. 62, no. 12, pp. 3261–3271, Jun. 2014.
B. Clerckx, C. Craeye, D. Vanhoenacker-Janvier and C. Oestges, Impact of antenna coupling on 2 x 2 MIMO communications, IEEE Trans. Veh. Technol., vol. 56, no. 3, pp. 1009–1018, May 2007.
C. Masouros, M. Sellathurai and T. Ratnarajah, Large-scale MIMO transmitters in fixed physical spaces: the effect of transmit correlation and mutual coupling, IEEE Trans. Commun., vol. 61, no. 7, pp. 2794–2804, July 2013.
V. G. Lykhograi, A.A. Shcherbina, V. S. Vovchenko et al., Effects of Antenna mutual coupling on MIMO channel capacity, in Proc. IEEE Conference on Antenna Theory and techniques (ICATT),pp.178-180,2013.
S. Boyd and L. Vandenberghe, Numerical linear algebra background,,Available: www.ee.ucla.edu/ee236b/lectures/num-lin-alg.pdf.
A. Mezghani, J. A. Nossek, Power efficiency in communication systems from a circuit perspective, Proc. IEEE Int. Symp. Circuits and Systems (ISCAS), pp. 1896–1899,2011.
H. Q. Ngo, E. Larsson and T. Marzetta, The multicell multiuser MIMO uplink with very large antenna arrays and a finite-dimensional channel, IEEE Trans. Commun., vol. 61, no. 6, pp. 2350–2361, June 2013.
X. Ge, S. Tu, T. Han, Q. Li and G. Mao, Energy efficiency of small cell backhaul networks based on Gauss-Markov mobile models, IET Networks, Vol. 4, No. 2, pp. 158–167, Feb. 2015.
Xiaohu Ge, Ran Zi, hao Wang, Jing Zhang, Minho Jo, Multi-User Massive Mimo Communication Systems Based On Irregular Antenna Arrays…, submitted to the IEEE, available at: https://arxiv.org/abs/1604.04968.
T. Tai, W. Chung, and Ta-Sung Lee, A Low Complexity Antenna Selection Algorithm for Energy Efficiency in Massive MIMO Systems, IEEE International Conference on Data Science and Data Intensive Systems (DSDIS), 04 February 2016.
S. Biswasy, C. Masouros, T. Ratnarajah, On the effect of Antenna Correlation and Coupling on Energy-Efficiency of Massive MIMO System, IEEE 25th International Symposium on Personal, Indoor and Mobile Radio Communications.
- There are currently no refbacks.
Please send any question about this web site to email@example.com
Copyright © 2005-2021 Praise Worthy Prize