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

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, w...

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Bibliographic Details
Published inIEEE Globecom Workshops pp. 1 - 6
Main Authors Abbas, Mustafa S., Mobini, Zahra, Ngo, Hien Quoc, Matthaiou, Michail
Format Conference Proceeding
LanguageEnglish
Published IEEE 08.12.2024
Subjects
Complexity theory
Multicast algorithms
Optimization
Power control
Precoding
Quality of service
Resource management
Simulation
Spectral efficiency
Unicast
Online AccessGet full text
ISSN2166-0077
DOI10.1109/GCWkshp64532.2024.11101576

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Summary: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.
ISSN:2166-0077
DOI:10.1109/GCWkshp64532.2024.11101576