Mitigation of phase noise in massive MIMO systems: A rate-splitting approach

This work encompasses Rate-Splitting (RS), providing significant benefits in multi-user settings in the context of huge degrees of freedom promised by massive Multiple-Input Multiple-Output (MIMO). However, the requirement of massive MIMO for cost-efficient implementation makes them more prone to ha...

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Veröffentlicht in:IEEE International Conference on Communications (2003) S. 1 - 7
Hauptverfasser: Papazafeiropoulos, Anastasios, Clerckx, Bruno, Ratnarajah, Tharmalingam
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2017
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ISSN:1938-1883
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Abstract This work encompasses Rate-Splitting (RS), providing significant benefits in multi-user settings in the context of huge degrees of freedom promised by massive Multiple-Input Multiple-Output (MIMO). However, the requirement of massive MIMO for cost-efficient implementation makes them more prone to hardware imperfections such as phase noise (PN). As a result, we focus on a realistic broadcast channel with a large number of antennas and hampered by the unavoidable PN. Moreover, we employ the RS transmission strategy, and we show its robustness against PN, since the sum-rate does not saturate at high signal-to-noise ratio (SNR). Although, the analytical results are obtained by means of the deterministic equivalent analysis, they coincide with simulation results even for finite system dimensions.
AbstractList This work encompasses Rate-Splitting (RS), providing significant benefits in multi-user settings in the context of huge degrees of freedom promised by massive Multiple-Input Multiple-Output (MIMO). However, the requirement of massive MIMO for cost-efficient implementation makes them more prone to hardware imperfections such as phase noise (PN). As a result, we focus on a realistic broadcast channel with a large number of antennas and hampered by the unavoidable PN. Moreover, we employ the RS transmission strategy, and we show its robustness against PN, since the sum-rate does not saturate at high signal-to-noise ratio (SNR). Although, the analytical results are obtained by means of the deterministic equivalent analysis, they coincide with simulation results even for finite system dimensions.
Author Papazafeiropoulos, Anastasios
Clerckx, Bruno
Ratnarajah, Tharmalingam
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  givenname: Anastasios
  surname: Papazafeiropoulos
  fullname: Papazafeiropoulos, Anastasios
  email: a.papazafeiropoulos@ed.ac.uk
  organization: Inst. for Digital Commun., Univ. of Edinburgh, Edinburgh, UK
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  givenname: Bruno
  surname: Clerckx
  fullname: Clerckx, Bruno
  email: b.clerckx@imperial.ac.uk
  organization: Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
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  givenname: Tharmalingam
  surname: Ratnarajah
  fullname: Ratnarajah, Tharmalingam
  email: t.ratnarajah@ed.ac.uk
  organization: Inst. for Digital Commun., Univ. of Edinburgh, Edinburgh, UK
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Snippet This work encompasses Rate-Splitting (RS), providing significant benefits in multi-user settings in the context of huge degrees of freedom promised by massive...
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SubjectTerms Antennas
deterministic equivalent analysis
Downlink
Interference
massive MIMO
MIMO
Phase noise
Rate-splitting
regularized zero-forcing precoding
Signal to noise ratio
Training
Title Mitigation of phase noise in massive MIMO systems: A rate-splitting approach
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