Large-Scale Fading Coefficients Classification-Aided Power Control Strategy for Mitigating the Pilot Contamination in Massive MIMO Systems
Abstract
Deploying base stations with a massive number of antennas give birth to massive multi-input multi-output technology, which can boost the quality of the wireless communication; however, the limitations imposed by the length of the coherence interval has, directly, limited the number of the orthogonal pilot sequences (OPSs) that can be exploited for acquiring such accurate channel state information at each base station (BS). Hence, the available pilot resources are reused among several cells, which causes the problem of pilot contamination (PC). In this paper, the PC problem is analyzed, and by exploiting the large-scale fading coeffificients of the users’ equipment (UEs), we have classifified the users within each cell; therefore, the same OPS is, solely, reused by the far-distant UEs; hence, the inflfluence of the PC problem is made as small as possible. Since the UEs are subject to different channel conditions, we have consolidated our proposal by a power control algorithm, which boosts the performance of our proposal. Simulation results prove the effectiveness of our proposed decontaminating strategy.References
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E. G. Larsson, O. Edfors, F. Tufvesson, T. L. Marzetta, Massive MIMO for Next Generation Wireless Systems, IEEE Communications Magazine, 52(2), 186-195, (2014)
T. L. Marzetta, Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas, IEEE Transactions on Wireless Communications, vol. 9, no. 11, pp. 3590-3600, November 2010.
A. Belhabib, M. Boulouird and M. M. Hassani , The Impact of Using Additional Pilots on the Performance of Massive MIMO Systems, IEEE International Conference on Signal, Control and Communication (SCC 2019), 16-18 December 2019, Hammamet, Tunisie
J. Fan, W. Li and Y. Zhang, Pilot contamination mitigation by fractional pilot reuse with threshold optimization in massive MIMO systems, Digital Signal Processing, Vol. 78, Pages. 197-204, 2018.
H. Q. Ngo, M. Matthaiou and E. G. Larsson, Massive MIMO With Optimal Power and Training Duration Allocation, IEEE Wireless Communications Letters, vol. 3, no. 6, pp. 605-608, Dec. 2014.
L. Hao , W. Zhigang and W. Houjun, An energy-efficient power allocation scheme for Massive MIMO systems with imperfect CSI, Digital Signal Processing, 102964, ISSN 1051-2004, 2021.
L. Shao, Coordinated multicell beamforming and power allocation for massive MIMO: A large system analysis, Signal Processing, Volume 164, 2019, Pages 41-47, ISSN 0165-1684.
H. Dahrouj, W. Yu, Coordinated beamforming for the multicell multi-antenna wireless system, IEEE Trans. Wirel. Commun. 9 (5), 1748–1759, 2010.
A. Tolli, H. Pennanen and P. Komulainen, Decentralized Minimum Power Multi-Cell Beamforming with Limited Backhaul Signaling, IEEE Transactions on Wireless Communications, vol. 10, no. 2, pp. 570-580, February 2011.
A. Ashikhmin, L. Li and T. L. Marzetta, Interference Reduction in Multi-Cell Massive MIMO Systems With Large-Scale Fading Precoding, IEEE Transactions on Information Theory, vol. 64, no. 9, pp. 6340-6361, Sept. 2018.
B. Hassibi and B. M. Hochwald, How much training is needed in multiple-antenna wireless links?, IEEE Transactions on Information Theory, vol. 49, no. 4, pp. 951-963, April 2003.
L. Li, A. Ashikhmin, and T. L. Marzetta, Interference reduction in multi-cell massive MIMO Systems II: Downlink analysis for a finite number of antennas, [Preprint], arXiv:1411.4183, 2014.
X. Zhu, L. Dai and Z. Wang, Graph Coloring Based Pilot Allocation to Mitigate Pilot Contamination for Multi-Cell Massive MIMO Systems, IEEE Communications Letters, vol. 19, no. 10, pp. 1842-1845, Oct. 2015.
F. Fernandes, A. Ashikhmin and T. L. Marzetta, Inter-Cell Interference in Noncooperative TDD Large Scale Antenna Systems, IEEE Journal on Selected Areas in Communications, vol. 31, no. 2, pp. 192-201, February 2013.
J. Zhang, B. Zhang, S. Chen, X. Mu, M. El-Hajjar and L. Hanzo, Pilot Contamination Elimination for Large-Scale Multiple-Antenna Aided OFDM Systems, IEEE Journal of Selected Topics in Signal Processing, vol. 8, no. 5, pp. 759-772, Oct. 2014.
Y. Wu, T. Liu, M. Cao, L. Li, W. Xu, Pilot contamination reduction in massive MIMO systems based on pilot scheduling, J Wireless Com Network, 21, 2018.
J. C. M. Filho, C. M. Panazio,T. Abr˜ao, Joint uplink and downlink optimization of pilot assignment for massive MIMO with power control, Trans Emerging Tel Tech. 2017; 28:e3250.
S. M. Sanaie, H. K. Bizaki, Performance analysis of multicell massive MIMO THP with pilot contamination, Trans Emerging Tel Tech. 2019; 30:e3574.
T. Lee, H. Kim, S. Park and S. Bahk, Mitigation of sounding pilot contamination in massive MIMO systems, 2014 IEEE International Conference on Communications (ICC), Sydney, NSW, 2014, pp. 1191-1196.
Z. Wang, P. Zhao, C. Qian and S. Chen, Location-Aware Channel Estimation Enhanced TDD Based Massive MIMO, IEEE Access, vol. 4, pp. 7828-7840, 2016.
X. Zhu, Z. Wang, L. Dai and C. Qian, Smart Pilot Assignment for Massive MIMO, IEEE Communications Letters, vol. 19, no. 9, pp. 1644-1647, Sept. 2015.
O. Elijah, C. Y. Leow, T. A. Rahman, S. Nunoo and S. Z. Iliya, A Comprehensive Survey of Pilot Contamination in Massive MIMO-5G System, IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 905-923, Secondquarter 2016.
X. Zhu, L. Dai, Z. Wang and X. Wang, Weighted-Graph-Coloring-Based Pilot Decontamination for Multicell Massive MIMO Systems, IEEE Transactions on Vehicular Technology, vol. 66, no. 3, pp. 2829-2834, March 2017.
A. Belhabib, M. Boulouird, M. M. Rabet Hassani, Smart Switching Strategy-Based Supervision Rule to Mitigate the Problem of Pilot Contamination in Massive MIMO Systems, Wireless Communications and Mobile Computing, vol. 2020, Article ID 8868597, 13 pages, 2020.
X. Zhu, Z. Wang, C. Qian, L. Dai, J. Chen, S. Chen and L. Hanzo, Soft Pilot Reuse and Multicell Block Diagonalization Precoding for Massive MIMO Systems, IEEE Transactions on Vehicular Technology, vol. 65, no. 5, pp. 3285-3298, May 2016.
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