Multicell Massive MIMO: Downlink Rate Analysis With Linear Processing Under Ricean Fading

This paper investigates the downlink (DL) rate of multicell massive multiuser multiple-input and multiple-output systems over Ricean fading channels that takes into account channel estimation errors. To acquire channel state information at all users, beamforming training (BT) is examined. Considerin...

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Published inIEEE transactions on vehicular technology Vol. 68; no. 4; pp. 3777 - 3791
Main Authors Jin, Si-Nian, Yue, Dian-Wu, Nguyen, Ha H.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.04.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Antennas
Beamforming
beamforming training
Bernoulli's inequality
Channel estimation
Closed form solutions
Communication channels
Downlink
downlink transmission
Exact solutions
Fading
Lower bounds
Massive MIMO
Mathematical analysis
MIMO communication
multicell
Pilots
Rayleigh channels
Ricean fading
Scaling laws
Signal processing
Signal to noise ratio
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Abstract This paper investigates the downlink (DL) rate of multicell massive multiuser multiple-input and multiple-output systems over Ricean fading channels that takes into account channel estimation errors. To acquire channel state information at all users, beamforming training (BT) is examined. Considering both maximum-ratio transmission (MRT) and zero forcing, this paper derives closed-form expressions on the lower bound of the achievable rates for two cases, with or without BT. With the obtained expressions, Bernoulli's inequality is invoked to find the ranges for the length of DL pilots such that the sum spectral efficiency of the scheme with BT is superior to that of the scheme without BT, and vice versa. Various power scaling laws concerning DL data and pilot transmit powers and uplink pilot transmit power are analyzed. Numerical results corroborate the accuracy of the closed-form expressions. In particular, the results show that employing BT with MRT processing is only preferred in environments having a high signal-to-noise ratio, low mobility, and small Ricean K-factors.
AbstractList This paper investigates the downlink (DL) rate of multicell massive multiuser multiple-input and multiple-output systems over Ricean fading channels that takes into account channel estimation errors. To acquire channel state information at all users, beamforming training (BT) is examined. Considering both maximum-ratio transmission (MRT) and zero forcing, this paper derives closed-form expressions on the lower bound of the achievable rates for two cases, with or without BT. With the obtained expressions, Bernoulli's inequality is invoked to find the ranges for the length of DL pilots such that the sum spectral efficiency of the scheme with BT is superior to that of the scheme without BT, and vice versa. Various power scaling laws concerning DL data and pilot transmit powers and uplink pilot transmit power are analyzed. Numerical results corroborate the accuracy of the closed-form expressions. In particular, the results show that employing BT with MRT processing is only preferred in environments having a high signal-to-noise ratio, low mobility, and small Ricean [Formula Omitted]-factors.
This paper investigates the downlink (DL) rate of multicell massive multiuser multiple-input and multiple-output systems over Ricean fading channels that takes into account channel estimation errors. To acquire channel state information at all users, beamforming training (BT) is examined. Considering both maximum-ratio transmission (MRT) and zero forcing, this paper derives closed-form expressions on the lower bound of the achievable rates for two cases, with or without BT. With the obtained expressions, Bernoulli's inequality is invoked to find the ranges for the length of DL pilots such that the sum spectral efficiency of the scheme with BT is superior to that of the scheme without BT, and vice versa. Various power scaling laws concerning DL data and pilot transmit powers and uplink pilot transmit power are analyzed. Numerical results corroborate the accuracy of the closed-form expressions. In particular, the results show that employing BT with MRT processing is only preferred in environments having a high signal-to-noise ratio, low mobility, and small Ricean K-factors.
Author Nguyen, Ha H.
Yue, Dian-Wu
Jin, Si-Nian
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Cites_doi 10.1109/LWC.2014.2315039
10.1109/JSAC.2013.130205
10.1109/JSAC.2017.2692307
10.1109/TCOMM.2006.887507
10.1109/TVT.2016.2577636
10.1109/ACCESS.2018.2857496
10.1109/TVT.2018.2860618
10.1109/GLOCOM.2014.7037312
10.1109/JSTSP.2014.2324534
10.1109/TWC.2012.121412.110419
10.1109/Swe-CTW.2012.6376290
10.1109/SPAWC.2016.7536908
10.1109/TWC.2016.2583436
10.1049/el.2015.4039
10.1109/TWC.2011.060711.101155
10.1109/TVT.2015.2475284
10.1109/ACSSC.2006.354768
10.1109/TCOMM.2017.2725262
10.1109/TSP.2005.862908
10.1109/LCOMM.2013.071813.131181
10.1109/LWC.2015.2396071
10.1109/ICC.2015.7248528
10.1109/TCOMM.2016.2645767
10.1109/WCNC.2016.7564826
10.1109/TCOMM.2015.2482965
10.1109/TCOMM.2016.2613535
10.1109/TCOMM.2013.020413.110848
10.1109/LCOMM.2012.060112.120793
10.1109/ICC.2015.7248582
10.1109/TSP.2003.819082
10.1109/TWC.2015.2457900
10.1109/TWC.2010.092810.091092
10.1109/IMCCC.2016.104
10.1109/GLOCOM.2007.799
10.1109/TWC.2017.2787702
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References ref35
ref13
ref34
ref37
ref15
ref36
ref14
ref31
ref33
ref11
ngo (ref1) 2013; 61
ref32
ref10
ref2
ref17
ref16
ref19
ref18
ref24
ngo (ref12) 0
ref23
ref26
ref25
ref20
ref22
ref21
ref28
ref27
ref29
ref8
ref7
ref9
ref4
ref3
ref6
ref5
verdú (ref30) 1998
References_xml – ident: ref34
  doi: 10.1109/LWC.2014.2315039
– ident: ref4
  doi: 10.1109/JSAC.2013.130205
– ident: ref3
  doi: 10.1109/JSAC.2017.2692307
– ident: ref9
  doi: 10.1109/TCOMM.2006.887507
– ident: ref6
  doi: 10.1109/TVT.2016.2577636
– ident: ref33
  doi: 10.1109/ACCESS.2018.2857496
– ident: ref28
  doi: 10.1109/TVT.2018.2860618
– ident: ref22
  doi: 10.1109/GLOCOM.2014.7037312
– ident: ref21
  doi: 10.1109/JSTSP.2014.2324534
– ident: ref18
  doi: 10.1109/TWC.2012.121412.110419
– ident: ref37
  doi: 10.1109/Swe-CTW.2012.6376290
– ident: ref16
  doi: 10.1109/SPAWC.2016.7536908
– ident: ref35
  doi: 10.1109/TWC.2016.2583436
– ident: ref27
  doi: 10.1049/el.2015.4039
– ident: ref31
  doi: 10.1109/TWC.2011.060711.101155
– ident: ref13
  doi: 10.1109/TVT.2015.2475284
– ident: ref7
  doi: 10.1109/ACSSC.2006.354768
– ident: ref32
  doi: 10.1109/TCOMM.2017.2725262
– ident: ref10
  doi: 10.1109/TSP.2005.862908
– ident: ref19
  doi: 10.1109/LCOMM.2013.071813.131181
– year: 1998
  ident: ref30
  publication-title: Multiuser Detection
  contributor:
    fullname: verdú
– ident: ref25
  doi: 10.1109/LWC.2015.2396071
– ident: ref23
  doi: 10.1109/ICC.2015.7248528
– ident: ref11
  doi: 10.1109/TCOMM.2016.2645767
– ident: ref15
  doi: 10.1109/WCNC.2016.7564826
– start-page: 293
  year: 0
  ident: ref12
  article-title: Massive MU-MIMO downlink TDD systems with linear precoding and downlink pilots
  publication-title: Proc 51st Annu Allerton Conf Commun Control Comput
  contributor:
    fullname: ngo
– ident: ref14
  doi: 10.1109/TCOMM.2015.2482965
– ident: ref5
  doi: 10.1109/TCOMM.2016.2613535
– volume: 61
  start-page: 1436
  year: 2013
  ident: ref1
  article-title: Energy and spectral efficiency of very large multiuser MIMO systems
  publication-title: IEEE Trans Commun
  doi: 10.1109/TCOMM.2013.020413.110848
  contributor:
    fullname: ngo
– ident: ref17
  doi: 10.1109/LCOMM.2012.060112.120793
– ident: ref24
  doi: 10.1109/ICC.2015.7248582
– ident: ref8
  doi: 10.1109/TSP.2003.819082
– ident: ref20
  doi: 10.1109/TWC.2015.2457900
– ident: ref2
  doi: 10.1109/TWC.2010.092810.091092
– ident: ref26
  doi: 10.1109/IMCCC.2016.104
– ident: ref29
  doi: 10.1109/GLOCOM.2007.799
– ident: ref36
  doi: 10.1109/TWC.2017.2787702
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Snippet This paper investigates the downlink (DL) rate of multicell massive multiuser multiple-input and multiple-output systems over Ricean fading channels that takes...
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SubjectTerms Antennas
Beamforming
beamforming training
Bernoulli's inequality
Channel estimation
Closed form solutions
Communication channels
Downlink
downlink transmission
Exact solutions
Fading
Lower bounds
Massive MIMO
Mathematical analysis
MIMO communication
multicell
Pilots
Rayleigh channels
Ricean fading
Scaling laws
Signal processing
Signal to noise ratio
Title Multicell Massive MIMO: Downlink Rate Analysis With Linear Processing Under Ricean Fading
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Volume 68
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