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

Anastasios Papazafeiropoulos; Bruno Clerckx; Tharmalingam Ratnarajah

doi:10.1109/ICC.2017.7997442

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

Anastasios Papazafeiropoulos, Bruno Clerckx, Tharmalingam Ratnarajah

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

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.

Original language	English
Title of host publication	2017 IEEE International Conference on Communications, ICC 2017
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	9781467389990
DOIs	https://doi.org/10.1109/ICC.2017.7997442
Publication status	Published - 28 Jul 2017
Event	2017 IEEE International Conference on Communications, ICC 2017 - Paris, France Duration: 21 May 2017 → 25 May 2017

Conference

Conference	2017 IEEE International Conference on Communications, ICC 2017
Country/Territory	France
City	Paris
Period	21/05/17 → 25/05/17

Keywords

deterministic equivalent analysis
massive MIMO
phase noise
Rate-splitting
regularized zero-forcing precoding

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10.1109/ICC.2017.7997442

Cite this

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title = "Mitigation of phase noise in massive MIMO systems: A rate-splitting approach",

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.",

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author = "Anastasios Papazafeiropoulos and Bruno Clerckx and Tharmalingam Ratnarajah",

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language = "English",

booktitle = "2017 IEEE International Conference on Communications, ICC 2017",

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note = "2017 IEEE International Conference on Communications, ICC 2017 ; Conference date: 21-05-2017 Through 25-05-2017",

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Papazafeiropoulos, A, Clerckx, B & Ratnarajah, T 2017, Mitigation of phase noise in massive MIMO systems: A rate-splitting approach. in 2017 IEEE International Conference on Communications, ICC 2017., 7997442, Institute of Electrical and Electronics Engineers (IEEE), 2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 21/05/17. https://doi.org/10.1109/ICC.2017.7997442

Mitigation of phase noise in massive MIMO systems: A rate-splitting approach. / Papazafeiropoulos, Anastasios; Clerckx, Bruno; Ratnarajah, Tharmalingam.
2017 IEEE International Conference on Communications, ICC 2017. Institute of Electrical and Electronics Engineers (IEEE), 2017. 7997442.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Mitigation of phase noise in massive MIMO systems

T2 - 2017 IEEE International Conference on Communications, ICC 2017

AU - Papazafeiropoulos, Anastasios

AU - Clerckx, Bruno

AU - Ratnarajah, Tharmalingam

PY - 2017/7/28

Y1 - 2017/7/28

N2 - 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.

AB - 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.

KW - deterministic equivalent analysis

KW - massive MIMO

KW - phase noise

KW - Rate-splitting

KW - regularized zero-forcing precoding

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U2 - 10.1109/ICC.2017.7997442

DO - 10.1109/ICC.2017.7997442

M3 - Conference contribution

AN - SCOPUS:85028301369

BT - 2017 IEEE International Conference on Communications, ICC 2017

PB - Institute of Electrical and Electronics Engineers (IEEE)

Y2 - 21 May 2017 through 25 May 2017

ER -

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

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Keywords

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