Multicast Multigroup Beamforming under Per-antenna Power Constraints
Dimitrios Christopoulos, Symeon Chatzinotas, Bjorn Ottersten

TL;DR
This paper develops an optimization framework for multigroup multicast beamforming in multi-antenna systems with per-antenna power constraints, maximizing fairness among users and addressing practical power limitations.
Contribution
It introduces an analytic approach to optimize multigroup multicast beamforming under per-antenna power constraints, extending existing methods to more realistic power-limited scenarios.
Findings
The proposed solution accurately maximizes the minimum user rate.
Numerical results demonstrate the effectiveness of the approach.
Insights into system performance under per-antenna power constraints are provided.
Abstract
Linear precoding exploits the spatial degrees of freedom offered by multi-antenna transmitters to serve multiple users over the same frequency resources. The present work focuses on simultaneously serving multiple groups of users, each with its own channel, by transmitting a stream of common symbols to each group. This scenario is known as physical layer multicasting to multiple co-channel groups. Extending the current state of the art in multigroup multicasting, the practical constraint of a maximum permitted power level radiated by each antenna is tackled herein. The considered per antenna power constrained system is optimized in a maximum fairness sense. In other words, the optimization aims at favoring the worst user by maximizing the minimum rate. This Max-Min Fair criterion is imperative in multicast systems, where the performance of all the receivers listening to the same…
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