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 |
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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. |
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| 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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| 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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