Multi-user MIMO max-min user rate via weighted MSE balancing

Ghamnia, Imène; Slock, Dirk TM; Yuan-Wu, Yi
ISWCS 2019, 16th International Symposium on Wireless Communication Systems, 27-30 August 2019, Oulu, Finland

This paper investigates the problem of user rate balancing with power constraints for the downlink transmission of multiuser Multiple-Input-Multiple-Output (MIMO) system. However, this max-min rate problem is not jointly convex. Therefore, we transform the original problem into matrix-weighted user Mean Squared Error (MSE) balancing. In particular, we enhance user fairness by solving the min-max matrix-weighted MSE optimization problem by power allocation and choice of transceiver filters in a way to maximize the minimum downlink rate of the users. Formulating the balancing operation as constraints, we introduce the corresponding Lagrangian for which we reach the saddle point by alternating optimization. Various aspects of Perron Frobenius theory are exploited in the process. Simulation results are provided to validate the proposed algorithm and demonstrate its performance improvement over e.g. unweighted MSE balancing.

Communication systems
Eurecom Ref:
© 2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.