A Fair User Selection Algorithm for Multi-User Massive MIMO System

Dhoni Putra Setiawan, Hua-An Zhao


Massive Multiple-input Multiple-output (Massive MIMO) system is one of the most potential candidates for the fifth-generation wireless communication. Massive-MIMO system employs a very large number of antennas which could easily reach more than a thousand antennas in the future. Instead of using an omni directional antenna which is a very popular base station antenna nowadays, massive-MIMO uses its large number of antennas to create multiple smaller beams which are transmitted directly into the intended receivers. In this paper, we develop a user-scheduling technique for Multi-user Massive-MIMO system called Fair-CDUS which is developed from charcoal distance-based user selection (CDUS) technique. Fair-CDUS aims to give more fairness to users in term of selection frequency and at the same time could maintain the total throughput performance. Some experimental scenarios with a different number of beams and a different number of receiving antenna are presented in this paper. We believe this proposed method could be a potential method to be used in Multi-user Massive-MIMO system.


Keyword: Massive-MIMO, Multi-user, 5G, User Scheduling, Fairness

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H Wu, D Liu, and W Wu. “Low Complexity Two-stages User Scheduling Scheme for MmWave Massive MIMO Hybrid Beamforming Systems,” 2017 3rd IEEE International Conference on Computer and Communications (ICC), December, 2017.

E Bjornson and M Debbah. “Massive MIMO for Maximal Spectral Efficiency: How Many Users and Pilots Should Be Allocated?,” IEEE Transactions on Wireless Communications, Vol. 15, No. 2, pp. 1293-1308, February, 2016.

X Gao, F Tufvesson, and O Edfors. “Massive MIMO Channels – Measurements and Models,” 2013 Asilomar Conference on Signals, Systems and Computers, November, 2013.

H Miyazaki, S Suyama, T Okuyama, J Mashino, and Y Okumura. “User Selection and Rank Adaptation for Multi-User Massive MIMO with Hybrid Beamforming,” IEEE 86th Vehicular Technology Conference, September, 2017.

E Bjornson, E G Larsson, and T L Marzetta. “Massive MIMO: Ten Myths and One Critical Question,” IEEE Communications Magazine, Vol. 54, No. 2, February, 2016.

X Chen, F K Gong, H Zhang. “Cooperative User Scheduling in Massive MIMO Systems,” IEEE Access, Vol. 6, pp. 2169-3536, April, 2018.

T E Bogale, L B Le, and A Haghigat. “User Scheduling for Massive MIMO OFDMA Systems with Hybrid Analog-Digital Beamforming,” 2015 IEEE International Conference on Communications (ICC), June, 2015.

S E Hajri, M Assaad, and G Caire. “Scheduling in Massive MIMO: User Clustering and Pilot Assignment,” 2016 54th Annual Allerton Conference on Communication, Control, and Computing, September, 2016.

Z Jiang, S Chen, S Zhou, and Z Niu. “Joint User Scheduling and Beam Selection Optimization for Beam-Based Massive MIMO Downlinks,” IEEE Transactions on Wireless Communications, Vol. 7, No. 4, pp. 2190-2204, April, 2018.

G Lee and Y Sung. “A New Approach to User Scheduling in Massive Multi-User MIMO Broadcast Channels,” IEEE Transactions on Communications, Vol. 44, No. 4, pp. 1481-1495, April 2018.

Y Xu, G Yue, S Mao. “User Grouping for Massive MIMO in FDD Systems: New Design Methods and Analysis,” IEEE Access, Vo. 2, pp. 947-959, September, 2014.

J Hoydis, S T Brink, and M Debbah. “Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?” IEEE Journal on Selected Areas in Communications, Vol. 31, No. 2, pp. 160-171, February, 2013.

C Lu, W Wang, W Zhong, and X Gao. “User Scheduling and Beam Allocation for Massive MIMO Systems with Two-Stage Precoding,” 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), September, 2016.

Q H Spencer, A L Swindlehurst, and M Haardt. “Zero-Forcing Methods for Downlink Spatial Multiplexing in Multiuser MIMO Channels,” IEEE Transactions on Signal Processing, Vol. 52, No. 2, pp. 461-471, February, 2004.

H Murata and R Shinohara. “Performance improvement of ZF-precoded MU-MIMO transmission by collaborative interference cancellation,” IEICE Communication Express, Vol. 4, No. 5, pp. 155-160, May, 2015.

G Xu, A Liu, W Jiang, H Xiang, and W Luo. “Joint User Scheduling and Antenna Selection in Distributed Massive MIMO Systems with Limited Backhaul Capacity,” China Communications, Vo. 11, No. 5, pp. 17-30, May, 2014.

E Bjornson, M Bengtsson, and B Otterten. “Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure [Lecture Notes],” IEEE Signal Processing Magazine, Vol. 31, No. 4, pp. 142-148, June, 2014.

E Bjornson, L Sanguinetti, J Hoydis, and M Debbah. “Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer?” IEEE Transactions on Wireless Communication, Vol. 14, No. 6, pp. 3059-3075, February, 2015.

X Liu and X Wang. “Efficient Antenna Selection and User Scheduling in 5G Massive MIMO-NOMA System,” 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), May, 2016.

M Benmmimoune, E Driouch, W Ajib, and D Massicotte. “Joint Transmit Antenna Selection and User Scheduling for Massive MIMO Systems,” 2015 IEEE Wireless Communications and Networking Conference (WCNC 2015), March, 2015.

B Zhou, B Bai, Y Li, D Gu, and Y Luo. “Chordal Distance-Based User Selection Algorithm for the Multiuser MIMO Downlink with Perfect or Partial CSIT,” IEEE International Conference on Advanced Information Networking and Applications, March, 2011.

Z Shen, R Chen, J Andrewsm R Heathm and B Evans. "Low Complexity User Selection Algorithms for Multiuser MIMO Systems with Block Diagonalization,” IEEE Transaction on Signal Processing, Vol. 54, No. 9, pp. 3658-3663, September, 2006.

J Shikida, N Ishii, and Y Kakura. “Performance Analysis of Low-Complexity Multi-User MIMO Scheduling Schemes for Massive MIMO System,” 2016 22nd Asia-Pacific Conference on Communications (APCC), August, 2016.

DOI: https://doi.org/10.12962/j25796216.v2.i2.49


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