Sequential Parametric Optimization for Rate-Splitting Precoding in Non-Orthogonal Unicast and Multicast Transmissions

This paper investigates rate-splitting (RS) precoding for non-orthogonal unicast and multicast (NOUM) transmissions using fully-digital and hybrid precoders. We study the nonconvex weighted sum-rate (WSR) maximization problem subject to a multicast requirement. We propose FALCON, an approach based o...

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Veröffentlicht in:IEEE International Conference on Communications (2003) S. 3904 - 3910
Hauptverfasser: Abanto-Leon, Luis F., Hollick, Matthias, Clerckx, Bruno, Sim, Gek Hong Allyson
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 16.05.2022
Schlagworte:
Complexity theory
multicast
non-orthogonal multiple access
Optimization
parametric optimization
Precoding
Quality of service
Quantization (signal)
Radio frequency
rate-splitting
SDP
Unicast
ISSN:1938-1883
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Abstract This paper investigates rate-splitting (RS) precoding for non-orthogonal unicast and multicast (NOUM) transmissions using fully-digital and hybrid precoders. We study the nonconvex weighted sum-rate (WSR) maximization problem subject to a multicast requirement. We propose FALCON, an approach based on sequential parametric optimization, to solve the aforementioned problem. We show that FALCON converges to a local optimum without requiring judicious selection of an initial feasible point. Besides, we show through simulations that by leveraging RS, hybrid precoders can attain nearly the same performance as their fully-digital counterparts under certain specific settings.
AbstractList This paper investigates rate-splitting (RS) precoding for non-orthogonal unicast and multicast (NOUM) transmissions using fully-digital and hybrid precoders. We study the nonconvex weighted sum-rate (WSR) maximization problem subject to a multicast requirement. We propose FALCON, an approach based on sequential parametric optimization, to solve the aforementioned problem. We show that FALCON converges to a local optimum without requiring judicious selection of an initial feasible point. Besides, we show through simulations that by leveraging RS, hybrid precoders can attain nearly the same performance as their fully-digital counterparts under certain specific settings.
Author Abanto-Leon, Luis F.
Clerckx, Bruno
Sim, Gek Hong Allyson
Hollick, Matthias
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  givenname: Luis F.
  surname: Abanto-Leon
  fullname: Abanto-Leon, Luis F.
  email: labanto@seemoo.tu-darmstadt.de
  organization: Technical University of Darmstadt,Secure Mobile Networking (SEEMOO) Lab,Germany
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  givenname: Matthias
  surname: Hollick
  fullname: Hollick, Matthias
  email: asim@seemoo.tu-darmstadt.de
  organization: Technical University of Darmstadt,Secure Mobile Networking (SEEMOO) Lab,Germany
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  givenname: Bruno
  surname: Clerckx
  fullname: Clerckx, Bruno
  email: mhollick@seemoo.tu-darmstadt.de
  organization: Imperial College London,United Kingdom
– sequence: 4
  givenname: Gek Hong Allyson
  surname: Sim
  fullname: Sim, Gek Hong Allyson
  email: b.clerckx@imperial.ac.uk
  organization: Technical University of Darmstadt,Secure Mobile Networking (SEEMOO) Lab,Germany
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Snippet This paper investigates rate-splitting (RS) precoding for non-orthogonal unicast and multicast (NOUM) transmissions using fully-digital and hybrid precoders....
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StartPage 3904
SubjectTerms Complexity theory
multicast
non-orthogonal multiple access
Optimization
parametric optimization
Precoding
Quality of service
Quantization (signal)
Radio frequency
rate-splitting
SDP
Unicast
Title Sequential Parametric Optimization for Rate-Splitting Precoding in Non-Orthogonal Unicast and Multicast Transmissions
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