Weighted Fair Multicast Multigroup Beamforming Under Perantenna Power Constraints
Abstract
A multiantenna transmitter that conveys independent sets of common data to distinct groups of users is considered. This model is known as physical layer multicasting to multiple cochannel groups. In this context, the practical constraint of a maximum permitted power level radiated by each antenna is addressed. The perantenna power constrained system is optimized in a maximum fairness sense with respect to predetermined quality of service weights. In other words, the worst scaled user is boosted by maximizing its weighted signaltointerference plus noise ratio. A detailed solution to tackle the weighted maxmin fair multigroup multicast problem under perantenna power constraints is therefore derived. The implications of the novel constraints are investigated via prominent applications and paradigms. What is more, robust perantenna constrained multigroup multicast beamforming solutions are proposed. Finally, an extensive performance evaluation quantifies the gains of the proposed algorithm over existing solutions and exhibits its accuracy over perantenna power constrained systems.
 Publication:

IEEE Transactions on Signal Processing
 Pub Date:
 October 2014
 DOI:
 10.1109/TSP.2014.2345340
 arXiv:
 arXiv:1406.7557
 Bibcode:
 2014ITSP...62.5132C
 Keywords:

 Computer Science  Information Theory
 EPrint:
 Under review in IEEE Transactions in Signal Processing