Journal of Electrical and Electronic Engineering
Volume 6, Issue 5, October 2018, Pages: 120-128
Received: Oct. 6, 2018;
Accepted: Oct. 26, 2018;
Published: Nov. 26, 2018
Views 410 Downloads 89
Anahita Araghi, Department of Electrical and Information Technology, Lund University, Lund, Sweden
Mehran Mehran Pasebanpoor, Department of Progress Engineering, Iran University of Science & Technology (IUST), Tehran, Iran
Focused research and standardization work in wireless throughput, subscribers will increase day by day. One can prospect that, millions of users in a mega city will want to transmit and receive data, for instance, 100 megabits per second per user. Massive MIMO (Large Scale Antenna Systems) is a new technology which will be used for resolving the mentioned issue. Spectral efficiency improvements over fourth generation (4G) technology are frequently mentioned. Adding more antennas is always beneficial for increased throughput, reduced radiated power, increase the capacity everywhere in the cell and greater simplicity in signal processing. In these days the main problem is RF interference and noise which can be generated by almost any device that produces an electro-magnetic signal, such as cordless phones to Bluetooth headsets, microwave ovens, repeaters and even smart phones, which is caused call drop and bad quality in the network. In this article, the Signal-to-interference-plus-noise ratio (SINR) and the value of mean capacity in the Non-cooperative cellular wireless have been increased by using infinite number of base station antennas. While employing advanced features, this is illustrated by network densification, Multi-cell Multi-User MIMO and inter cell interference mitigation techniques. The propagation model is not clear for both terminals and base stations which is calculated taking in to consideration path loss, specular reflection, environment models, earth’s elevation, fast fading, log-normal shadowing fading and geometric attenuation. The conjugate transpose of the channel estimation is used for forward and reverse precoding. Numerical results show that, by using unlimited number of antennas in the base station, the inter-cell interference, the effect of uncorrelated noise and fast fading have been vanished, although the inter-cell interference that caused by reuse of the pilot sequence in other cells does not disappear. And also average capacity improves with increment of base station antennas. In this study, MATLAB based simulation tool has been developed to calculate the SIR and also the mean capacity.
Mehran Mehran Pasebanpoor,
Assessment of Pilot Pollution Problem for Multi-Cell Multi-User MIMO, Journal of Electrical and Electronic Engineering.
Vol. 6, No. 5,
2018, pp. 120-128.
Caire, Giuseppe, and Shlomo Shamai. "On the achievable throughput of a multiantenna Gaussian broadcast channel." IEEE Transactions on Information Theory 49, no. 7 (2003): 1691-1706.
Dahlman, Erik, Stefan Parkvall, Johan Skold, and Per Beming. 3G evolution: HSPA and LTE for mobile broadband. Academic press, 2010.
Foschini, Gerard J. "Layered space‐time architecture for wireless communication in a fading environment when using multi‐element antennas." Bell labs technical journal 1, no. 2 (1996): 41-59.
Gesbert, David, Marios Kountouris, Robert W. Heath, Chan-Byoung Chae, and T. Salzer. "From single user to multiuser communications: Shifting the MIMO paradigm." IEEE signal processing magazine 24, no. 5 (2007): 36-46.
Golden, G. D., C. J. Foschini, Reinaldo A. Valenzuela, and P. W. Wolniansky. "Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture." Electronics letters 35, no. 1 (1999): 14-16
Goldsmith, Andrea, Syed Ali Jafar, Nihar Jindal, and Sriram Vishwanath. "Capacity limits of MIMO channels." IEEE Journal on selected areas in Communications 21, no. 5 (2003): 684-702.
Jungnickel, Volker, Konstantinos Manolakis, Wolfgang Zirwas, Berthold Panzner, Volker Braun, Moritz Lossow, Mikael Sternad, Rikke Apelfrojd, and Tommy Svensson. "The role of small cells, coordinated multipoint, and massive MIMO in 5G." IEEE Communications Magazine 52, no. 5 (2014): 44-51.
Koo, Bon-Hong, Changmin Lee, H. Birkan Yilmaz, Nariman Farsad, Andrew Eckford, and Chan-Byoung Chae. "Molecular MIMO: From theory to prototype." IEEE Journal on Selected Areas in Communications 34, no. 3 (2016): 600-614.
Li, Ang, and Christos Masouros. "Exploiting constructive mutual coupling in P2P MIMO by analog-digital phase alignment." IEEE Transactions on Wireless Communications16, no. 3 (2017): 1948-1962.
Ngo, Hien Quoc, Erik G. Larsson, and Thomas L. Marzetta. "The multicell multiuser MIMO uplink with very large antenna arrays and a finite-dimensional channel." IEEE Transactions on Communications 61, no. 6 (2013): 2350-2361.
Paulraj; Arogyaswami J. (Palo Alto, CA), Kailath; Thomas (Stanford, CA); United States Patent; No. 07/839,624; 1992.
Marzetta, Thomas L. "Noncooperative cellular wireless with unlimited numbers of base station antennas." IEEE Transactions on Wireless Communications 9, no. 11 (2010): 3590-3600.
Raleigh, Gregory G., and John M. Cioffi. "Spatio-temporal coding for wireless communication." IEEE Transactions on communications 46, no. 3 (1998): 357-366.
Vishwanath, Sriram, Nihar Jindal, and Andrea Goldsmith. "Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels." IEEE Transactions on Information Theory 49, no. 10 (2003): 2658-2668.
Viswanath, Pramod, and David N. C. Tse. "Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality." IEEE Transactions on Information Theory 49, no. 8 (2003): 1912-1921.
Wang, Dongming, Chen Ji, Xiqi Gao, Shaohui Sun, and Xiaohu You. "Uplink sum-rate analysis of multi-cell multi-user massive MIMO system." In Communications (ICC), 2013 IEEE International Conference on, pp. 5404-5408. IEEE, 2013.