Abstract
Background: The paper considers the wireless system with large number of users
(more than 50 users) and each user is assigned large number of antennas (around 200) at the Base
Station (BS).
Objective: The challenges associated with the defined system are increased power consumption
and high complexity of associated circuitry. The antenna selection is introduced to combat these
problems while the usage of linear precoding reduces computational complexity. The literature
suggests number of antenna selection techniques based on statistical properties of signal. However,
each antenna selection technique suits well to specific number of users.
Methods: In this paper, the random antenna selection is compared with norm-based antenna selection. It
is analysed that the random antenna selection leads to inefficient spectral efficiency if the number of users
are more than 50 in Multi-User Multiple-Input Multiple Output (MU-MIMO) system.
Results: The paper proposes the optimization of Energy-Efficiency (EE) with random transmit antenna
selection for large number of users in MU-MIMO systems.
Conclusion: Also the computation leads to optimization of number of transmit antennas at the BS
for energy efficiency. The proposed algorithm results in improvement of the energy efficiency by
27% for more than 50 users.
Keywords:
Antenna selection, energy efficiency, optimization, large number of users, MIMO systems, base station.
Graphical Abstract
[2]
Wajda W, Auer G, Skillermark P, Jading Y. INFSO-ICT-247733 EARTH deliverable D2.3: Energy efficiency analysis of the reference systems, areas of improvements and target breakdown. Earth (Waukesha) 2012.
[4]
Bjornson E, Kountouris M, Debbah M. Massive MIMO and small cells: Improving energy efficiency by optimal soft-cell coordination. Int Conf Telecomm (ICT) 2013; 2013: 5444-7.
[11]
Gao X, Edfors O, Rusek F, Tufvesson F. Massive MIMO in real propagation environments. IEEE Trans Wirel Commun 2014; 63(11): 1-12.
[13]
Ha D, Lee K, Kang J. Energy efficiency analysis with circuit power consumption in massive MIMO systems. 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). London, UK 2013.
[15]
Hoorfar A, Hassani M. Inequalities on the Lambert W function and hyper power function. J Unequal Appl 2008; 9(2): 1-5.
[17]
Li H, Song L, Debbah M. Energy efficiency of large-scale multiple antenna systems with transmit antenna selection. IEEE Trans Vehicular Technol 2014; 66(9): 88010-21.
[27]
Sun Z, Xiao Y, Yang P, Li X, Xiang W. Transmit antenna selection schemes for spatial modulation systems: Search complexity reduction and large-scale MIMO applications. IEEE Trans Commun 2017; 66(9): 8010-21.
[29]
Urosevic U, Veljovic Z. Distributed MIMO solutions for peer-topeer communications in future wireless systems. 2016 24th Telecommunications Forum (TELFOR). Belgrade, Serbia 2016.
[32]
Zhao L, Li K, Zheng K, Ahmad MO. An Analysis of the tradeoff between the energy and spectrum efficiencies in an uplink massive MIMO-OFDM system. IEEE Trans Circ Syst 2015; 62(3): 291-5.