Rate-Splitting Unifying SDMA, OMA, NOMA, and Multicasting in MISO Broadcast Channel: A Simple Two-User Rate Analysis
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Abstract (arXiv)
Considering a two-user multi-antenna Broadcast Channel, this paper shows that linearly precoded Rate-Splitting (RS) with Successive Interference Cancellation (SIC) receivers is a flexible framework for non-orthogonal transmission that generalizes, and subsumes as special cases, four seemingly different strategies, namely Space Division Multiple Access (SDMA) based on linear precoding, Orthogonal Multiple Access (OMA), Non- Orthogonal Multiple Access (NOMA) based on linearly precoded superposition coding with SIC, and physical-layer multicasting. The paper studies the sum-rate and shows analytically how RS unifies, outperforms, and specializes to SDMA, OMA, NOMA, and multicasting as a function of the disparity of the channel strengths and the angle between the user channel directions.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Jun 2019.
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Citing papers per year: 2022: 1; 2023: 2; 2024: 3.
6 papers.
- 2024Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmissioncited by 34
- 2024Multiple Access in the Era of Distributed Computing and Edge Intelligencecited by 4
- 2022Model-based Deep Learning Receiver Design for Rate-Splitting Multiple Accesscited by 3
- 2023Sum-Rate Maximization of RSMA-based Aerial Communications with Energy Harvesting: A Reinforcement Learning Approachcited by 1
- 2023A Meta-Learning Based Precoder Optimization Framework for Rate-Splitting Multiple Accesscited by 1
- 2024Meta-Learning Based Optimization for Large Scale Wireless Systemscited by 1
- 2024Meta-Learning Based Optimization for Large Scale Wireless Systems1 Jul 2024
- 2024Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmission14 Apr 2024
- 2024Multiple Access in the Era of Distributed Computing and Edge Intelligence26 Feb 2024
- 2023A Meta-Learning Based Precoder Optimization Framework for Rate-Splitting Multiple Access17 Jul 2023
- 2023Sum-Rate Maximization of RSMA-based Aerial Communications with Energy Harvesting: A Reinforcement Learning Approach22 Jun 2023
- 2022Model-based Deep Learning Receiver Design for Rate-Splitting Multiple Access2 May 2022