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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE International Conference on Communications (2003) s. 3904 - 3910
Hlavní autoři: Abanto-Leon, Luis F., Hollick, Matthias, Clerckx, Bruno, Sim, Gek Hong Allyson
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 16.05.2022
Témata:
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
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
ISSN:1938-1883
DOI:10.1109/ICC45855.2022.9838374