Abstract
Background and Objective: We propose here joint semi-orthogonal user selection and antenna
selection algorithm based on precoding scheme.
Methods: The focus of this proposed algorithm is to increase the system sumrate and decrease the
complexity. We select and schedule users from a large number of users based on semi-orthogonality
condition among them. Here, we select only the maximum channel gain antennas to maximize the
system sumrate. Subsequently, the user selection and antenna selection have been scheduled in an
adequate manner in order to obtain maximum system sumrate. We calculate the system sumrate for
two scenarios: firstly, by considering the interference and secondly without considering the interference.
We achieve maximum system sumrate at MMSE and lowest at without precoding while considering
the interference. However, when we do not consider the interference we obtain lowest sumrate
at MMSE and maximum at without precoding.
Results and Conclusion: Here, we apply the precoding scheme to increase the system sumrate and
we obtain approximately 20% to 35% higher system sumrate compared to without precoding, when
interference is considered. Thus, we achieve higher sumrate in our proposed algorithms compared to
other existing work.
Keywords:
5G, antenna selection, interference, massive MIMO, sumrate, users selection.
Graphical Abstract
[1]
Larsson EG, Edfors O, Tufvesson F, Marzetta TL. Massive MIMO for next generation wireless systems. IEEE Commun Mag 2014; 52(2): 186-95.
[2]
Ngo HQ. Massive MIMO: Fundamentals and system designs Linköping Studies in Science and Technology, Dissertations, No 1642, Linköping University, SE-581 83 Linköping. Sweden: Linköping University Electronic Press 2015.
[3]
Marzetta TL, Larsson EG, Yang H, Ngo HQ. Fundamentals of massive MIMO Cambridge University Press 2016.Nov 17.
[4]
Araújo DC, Maksymyuk T, de Almeida AL, Maciel T, Mota JC, Jo M. Massive MIMO: survey and future research topics. IET Commun 2016; 10(15): 1938-46.
[5]
Dong Y, Tang Y, Shenzhen KZ. Improved joint antenna selection and user scheduling for massive MIMO systems. In: 2017 IEEE/ACIS 16th international conference on computer and information science (ICIS) Wuhan, China: IEEE. 2017; pp. 69-74.
[6]
Gao Y, Jiang W, Kaiser T. Bidirectional branch and bound based antenna selection in massive MIMO systems. In: 2015 IEEE 26th annual international symposium on personal, indoor, and mobile radio communications (PIMRC) Hong Kong: IEEE. 2015; pp. 563-8.
[7]
Benmimoune M, Driouch E, Ajib W, Massicotte D. Joint transmit antenna selection and user scheduling for massive MIMO systems In: 2015 IEEE wireless communications and networking conference (WCNC). New Orleans, LA: IEEE 2015; pp. 381-6.
[8]
Xu G, Liu A, Jiang W, Xiang H, Luo W. Joint user scheduling and antenna selection in distributed massive MIMO systems with limited backhaul capacity. China Commun 2014; 11(5): 17-30.
[9]
Liu X, Wang X. Efficient antenna selection and user scheduling in 5G massive MIMO-NOMA system. In: 2016 IEEE 83rd vehicular technology conference (VTC Spring) Nanjing: IEEE. 2016; pp. May 15. 1-5.
[10]
Tomasoni A, Caire G, Ferrari M, Bellini S. On the selection of semi-orthogonal users for zero-forcing beamforming In: 2009 IEEE international symposium on information theory. Seoul, South Korea: IEEE 2009; pp. 1100-4.
[11]
Lee B, Ngo L, Shim B. Antenna group selection based user scheduling for massive MIMO systems In: 2014 IEEE global communications conference. Austin, TX: IEEE 2014; pp. 3302-7.
[12]
Jindal N, Goldsmith A. Dirty-paper coding versus TDMA for MIMO broadcast channels. IEEE T Inf Theory 2005; 51(5): 1783-94.
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