Rate-Splitting for Max-Min Fair Multigroup Multicast Beamforming in Overloaded Systems

Hamdi Joudeh, Bruno Clercks

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

In this paper, we consider the problem of achieving max-min fairness amongst multiple co-channel multicast groups through transmit beamforming. We explicitly focus on overloaded scenarios in which the number of transmitting antennas is insufficient to neutralize all inter-group interference. Such scenarios are becoming increasingly relevant in the light of growing low-latency content delivery demands, and also commonly appear in multibeam satellite systems. We derive performance limits of classical beamforming strategies using DoF analysis unveiling their limitations; for example, rates saturate in overloaded scenarios due to inter-group interference. To tackle interference, we propose a strategy based on degraded beamforming and successive interference cancellation. While the degraded strategy resolves the rate-saturation issue, this comes at a price of sacrificing all spatial multiplexing gains. This motivates the development of a unifying strategy that combines the benefits of the two previous strategies. We propose a beamforming strategy based on rate-splitting (RS) which divides the messages intended to each group into a degraded part and a designated part, and transmits a superposition of both degraded and designated beamformed streams. The superiority of the proposed strategy is demonstrated through DoF analysis. Finally, we solve the RS beamforming design problem and demonstrate significant performance gains through simulations.

Original languageEnglish
JournalIEEE Transactions on Wireless Communications
DOIs
Publication statusAccepted/In press - 2017 Aug 29
Externally publishedYes

Fingerprint

Beamforming
Min-max
Multicast
Interference
Scenarios
Max-min Fairness
Multiplexing
Successive Interference Cancellation
Spatial multiplexing
Strategy
Satellites
Antennas
Superposition
Divides
Latency
Saturation
Antenna
Resolve
Demonstrate
Simulation

Keywords

  • Array signal processing
  • Interference
  • Multicast communication
  • Receivers
  • Transmitting antennas
  • Wireless communication

ASJC Scopus subject areas

  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Rate-Splitting for Max-Min Fair Multigroup Multicast Beamforming in Overloaded Systems. / Joudeh, Hamdi; Clercks, Bruno.

In: IEEE Transactions on Wireless Communications, 29.08.2017.

Research output: Contribution to journalArticle

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