Mean square error beamforming in SatCom: Uplink-downlink duality with per-feed constraints

Author

Grundinger, Andreas ; Joham, Michael ; Barthelme, Andreas ; Utschick, Wolfgang

Author_Institution

Associate Inst. for Signal Process., Tech. Univ. Munchen, Munich, Germany

fYear

2014

fDate

26-29 Aug. 2014

Firstpage

600

Lastpage

605

Abstract

Balancing the per-user average mean square errors (MSEs) of a satellite communication (SatCom) system under per-feed limitations - linear transmit power constraints - is the focus of this work. We propose an uplink-downlink duality for this optimization via Lagrangian multiplier theory. Strong duality is proven. Simple fixed point methods are used for the uplink power allocation and the worst-case noise covariance calculation. Simulation results are used to compare the performance for the SatCom channel with that of a standard Gaussian channel model.

Keywords

Gaussian channels; array signal processing; mean square error methods; satellite communication; Lagrangian multiplier theory; MSE; SatCom channel; SatCom system; linear transmit power constraints; mean square error beamforming; satellite communication system; standard Gaussian channel model; uplink power allocation; uplink-downlink duality; worst-case noise covariance calculation; Downlink; Interference; Minimization; Optimization; Receivers; Signal to noise ratio; Uplink; MSE balancing; imperfect CSI; per-feed constraints; satellite communication; uplink-downlink MSE duality;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications Systems (ISWCS), 2014 11th International Symposium on

Conference_Location

Barcelona

Type

conf

DOI

10.1109/ISWCS.2014.6933424

Filename

6933424