Joint Unicast and Multi-group Multicast Transmission in Massive MIMO Systems
Meysam Sadeghi, Emil Bj\"ornson, Erik G. Larsson, Chau Yuen, Thomas L., Marzetta

TL;DR
This paper investigates joint unicast and multi-group multicast transmission in massive MIMO systems, deriving spectral efficiencies, formulating a multiobjective optimization problem, and characterizing the Pareto boundary to optimize system performance.
Contribution
It provides an analytical characterization of the Pareto boundary for joint unicast and multicast transmission in massive MIMO, including optimal system parameter settings.
Findings
Pareto region is convex, enabling simultaneous unicast and multicast service.
Achievable spectral efficiencies are derived considering channel estimation and pilot contamination.
Optimal trade-offs between unicast and multicast performance are analytically characterized.
Abstract
We study the joint unicast and multi-group multicast transmission in massive multiple-input-multiple-output (MIMO) systems. We consider a system model that accounts for channel estimation and pilot contamination, and derive achievable spectral efficiencies (SEs) for unicast and multicast user terminals (UTs), under maximum ratio transmission and zero-forcing precoding. For unicast transmission, our objective is to maximize the weighted sum SE of the unicast UTs, and for the multicast transmission, our objective is to maximize the minimum SE of the multicast UTs. These two objectives are coupled in a conflicting manner, due to their shared power resource. Therefore, we formulate a multiobjective optimization problem (MOOP) for the two conflicting objectives. We derive the Pareto boundary of the MOOP analytically. As each Pareto optimal point describes a particular efficient trade-off…
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