Login Register Cart 0
Generic placeholder image

International Journal of Sensors, Wireless Communications and Control

Editor-in-Chief

ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Research Article

A Comparison of Norm Based Antenna Selection and Random Antenna Selection with Regard to Energy Efficiency in Wireless System with Large Number of Users

Author(s): Ashu Taneja* and Nitin Saluja

Volume 10, Issue 2, 2020

Page: [189 - 196] Pages: 8

DOI: 10.2174/2210327909666190319145555

Price: $65

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.

« Previous Next »
Graphical Abstract

[1]
Alkhansari MG, Gershman AB. Fast antenna subset selection in MIMO systems. IEEE Trans Signal Process 2004; 52(2): 339-47.
[http://dx.doi.org/10.1109/TSP.2003.821099]
[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.
[3]
Arash M, Yazdian E, Fazel M. Antenna selection: A novel approach to improve energy efficiency in massive MIMO systems. 2016 6th International Conference on Computer and Knowledge Engineering (ICCKE) Mashhad, Iran 2016.
[http://dx.doi.org/10.1109/ICCKE.2016.7802124]
[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.
[5]
Bjornson E, Sanguinetti L, Hoydis J, Debbah M. Designing multi-user MIMO for energy efficiency: When is massive MIMO the answer? 2014 IEEE Wireless Communications and Networking Conference (WCNC) . Istanbul, Turkey 2014.
[http://dx.doi.org/10.1109/WCNC.2014.6951974]
[6]
Bjornson E, Sanguinetti L, Hoydis J, Debbah M. Optimal design of energy-efficient multi-user MIMO system: Is massive MIMO the answer? IEEE Trans Wirel Commun 2015; 14(6): 3059-75.
[http://dx.doi.org/10.1109/TWC.2015.2400437]
[7]
Bjornson E, Hoydis J, Kountouris M, Debbah M. Massive MIMO systems with non-ideal hardware: Energy efficiency, estimation, and capacity limits. IEEE Trans Inf Theory 2014; 60(11): 7112-39.
[http://dx.doi.org/10.1109/TIT.2014.2354403]
[8]
Boyd S, Vandenberghe L. Convex optimization. Cambridge University Press 2004.
[http://dx.doi.org/10.1017/CBO9780511804441]
[9]
Chen R, Heath RW, Andrews JG. Transmit selection diversity for unitary precoded multiuser spatial multiplexing systems with linear receivers. IEEE Trans Signal Process 2007; 55(3): 1159-71.
[http://dx.doi.org/10.1109/TSP.2006.887147]
[10]
Chen Y, Zhang S, Xu S, Li GY. Fundamental trade-offs on green wireless networks. IEEE Commun Mag 2011; 49(6): 30-7.
[http://dx.doi.org/10.1109/MCOM.2011.5783982]
[11]
Gao X, Edfors O, Rusek F, Tufvesson F. Massive MIMO in real propagation environments. IEEE Trans Wirel Commun 2014; 63(11): 1-12.
[12]
Gesbert D, Kountouris M, Heath RW, Chae CB, Salzer T. Shifting the MIMO paradigm. IEEE Signal Process Mag 2007; 24(5): 36-46.
[http://dx.doi.org/10.1109/MSP.2007.904815]
[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.
[14]
Hamdi R, Ajib W. Sum-rate maximizing in downlink massive MIMO systems with circuit power consumption. 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). Abu Dhabi, United Arab Emirates, 2015.
[http://dx.doi.org/10.1109/WiMOB.2015.7347995]
[15]
Hoorfar A, Hassani M. Inequalities on the Lambert W function and hyper power function. J Unequal Appl 2008; 9(2): 1-5.
[16]
Larsson EG, Tufvesson F, Edfors O, Marzetta TL. Massive MIMO for next generation wireless systems. IEEE Commun Mag 2014; 52(2): 186-95.
[http://dx.doi.org/10.1109/MCOM.2014.6736761]
[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.
[18]
Li PH, Tsai SH. Performance analysis and algorithm designs for transmit antenna selection in linearly precoded multi-user MIMO systems. IEEE Trans Vehicular Technol 2012; 61(4): 1698-708.
[http://dx.doi.org/10.1109/TVT.2012.2190435]
[19]
Lu L, Li Y, Lee A, Ashikhmin A, Zhang R. An overview of massive MIMO: Benefits and challenges. IEEE J Sel Top Signal Process 2014; 8(5): 742-58.
[http://dx.doi.org/10.1109/JSTSP.2014.2317671]
[20]
Marzetta T. Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans Wirel Commun 2010; 9(11): 3590-600.
[http://dx.doi.org/10.1109/TWC.2010.092810.091092]
[21]
Mezghani A, Nossek JA. Power efficiency in communication systems from a circuit perspective. 2011 IEEE International Symposium of Circuits and Systems (ISCAS) Rio de Janeiro, Brazil 2011.
[http://dx.doi.org/10.1109/ISCAS.2011.5937958]
[22]
Mohammed S. Impact of transceiver power consumption on the energy efficiency spectral efficiency tradeoff of zero-forcing detector in massive MIMO systems. IEEE Trans Commun 2014; 62(11): 3874-90.
[http://dx.doi.org/10.1109/TCOMM.2014.2364188]
[23]
Ngo HQ, Larsson EG, Marzetta TL. Energy and spectral efficiency of very large multiuser MIMO systems. IEEE Trans Commun 2013; 61(4): 1436-49.
[http://dx.doi.org/10.1109/TCOMM.2013.020413.110848]
[24]
Ngo HQ, Larsson EG, Marzetta TL. Uplink power efficiency of multiuser MIMO with very large antenna arrays. 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton). Monticello, IL, USA, 2011.
[http://dx.doi.org/10.1109/Allerton.2011.6120314]
[25]
Rusek F, Persson D, Lau B. Scaling up MIMO: Opportunities and challenges with very large arrays. IEEE Signal Process Mag 2013; 30(1): 40-60.
[http://dx.doi.org/10.1109/MSP.2011.2178495]
[26]
Sanayei S, Nosratinia A. Antenna selection in MIMO systems. IEEE Commun Mag 2004; 42(10): 68-73.
[http://dx.doi.org/10.1109/MCOM.2004.1341263]
[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.
[28]
Surya PKNR, Hossain E, Bharava VK. Energy efficiency in massive-MIMO based 5G networks: Opportunities and challenges. IEEE Trans Wirel Commun 2017; 24(3): 86-94.
[http://dx.doi.org/10.1109/MWC.2016.1500374WC]
[29]
Urosevic U, Veljovic Z. Distributed MIMO solutions for peer-topeer communications in future wireless systems. 2016 24th Telecommunications Forum (TELFOR). Belgrade, Serbia 2016.
[30]
Yang H, Marzetta T. Total energy efficiency of cellular large scale antenna system multiple access mobile networks. 2013 IEEE Online Conference on Green Communications (OnlineGreenComm) Piscataway, NJ, USA 2013.
[http://dx.doi.org/10.1109/OnlineGreenCom.2013.6731024]
[31]
Yang P, Xiao Y, Guan YL, Li S, Hanzo L. Transmit antenna selection for multiple-input multiple-output spatial modulation schemes. IEEE Trans Commun 2016; 64(5): 2035-48.
[http://dx.doi.org/10.1109/TCOMM.2016.2547900]
[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.
[33]
Zhong W, Xu Y. Joint user and transmit antenna selection for uplink multi-user MIMO systems. 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications. Tokyo, Japan 2009.
[http://dx.doi.org/10.1109/PIMRC.2009.5450045]

Rights & Permissions Print Cite
Article Metrics
2
© 2024 Bentham Science Publishers | Privacy Policy