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Unicast-Multicast Cell-Free Massive MIMO: Gradient-Based Resource Allocation

Information Theory 2024-10-07 v1 math.IT

Abstract

We consider a cell-free massive multiple-input multiple-output (CF-mMIMO) system with joint unicast and multi-group multicast transmissions. We derive exact closed-form expressions for the downlink achievable spectral efficiency (SE) of both unicast and multicast users. Based on these expressions, we formulate a joint optimization problem of access point (AP) selection and power control subject to quality of service (QoS) requirements of all unicast and multicast users and per-AP maximum transmit power constraint. The challenging formulated problem is transformed into a tractable form and a novel accelerated projected gradient (APG)-based algorithm is developed to solve the optimization problem. Simulation results show that our joint optimization strategy enhances notably the sum SE (SSE) (up to 58%) compared to baseline schemes, while maintaining low complexity.

Keywords

Cite

@article{arxiv.2410.03506,
  title  = {Unicast-Multicast Cell-Free Massive MIMO: Gradient-Based Resource Allocation},
  author = {Mustafa S. Abbas and Zahra Mobini and Hien Quoc Ngo and Michail Matthaiou},
  journal= {arXiv preprint arXiv:2410.03506},
  year   = {2024}
}
R2 v1 2026-06-28T19:08:43.373Z