NDLI: Design of beamforming in the satellite downlink with static and mobile users

Content Provider	IEEE Xplore Digital Library
Author	Grundinger, A. Joham, M. Utschick, W.
Copyright Year	2011
Description	Author affiliation: Associate Institute for Signal Processing, Technische Universität München, 80290 Munich, Germany (Grundinger, A.; Joham, M.; Utschick, W.)
Abstract	We consider the downlink (DL) of a satellite communication system with single-antenna mobile receivers and static users that is modeled as a vector broadcast channel (BC). While for static users perfect channel state information (CSI) is available, only the rank-one covariance matrices of the channels to mobile users are known. In this scenario, we design beamforming techniques that are able to deal with full CSI users and statistical CSI users at the same time. In this paper, we employ zero-forcing (ZF) techniques with regard to the mobile users' channels. Under this assumption, a duality w.r.t. the signal-to-interference-and-noise-ratio (SINR) between the vector BC and an appropriately constructed vector multiple-access channel (MAC) is established. Based on the observation that an interference function can be defined in the dual vector MAC that is standard, an iterative solution for the quality-of-service (QoS) power minimization and the rate balancing problem is found.
Starting Page	2091
Ending Page	2095
File Size	183434
Page Count	5
File Format	PDF
ISBN	9781467303217
ISSN	10586393
e-ISBN	9781467303231
DOI	10.1109/ACSSC.2011.6190397
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference Vectors Signal to noise ratio Mobile communication Satellites Quality of service Optimization rate balancing Vector BC complete and statistical CSI users BC-MAC duality QoS power minimization
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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