Distributed Bi-Directional Training of Nonlinear Precoders and Receivers in Cellular Networks

Joint optimization of nonlinear precoders and receive filters is studied for both the uplink and downlink in a cellular system. For the uplink, the base transceiver station (BTS) receiver implements successive interference cancellation, and for the downlink, the BTS station pre-compensates for the i...

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Veröffentlicht in:IEEE transactions on signal processing Jg. 63; H. 21; S. 5597 - 5608
Hauptverfasser: Mingguang Xu, Dongning Guo, Honig, Michael L.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.11.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Bi-directional training
Channel estimation
Channels
Criteria
distributed optimization
Downlink
Interference
interference cancellation
interference pre-compensation
Mean square errors
non-linear precoder
non-linear receive filter
Nonlinearity
Optimization
Pilot training
Receivers
Stations
THP
Training
Uplink
ISSN:1053-587X, 1941-0476
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Zusammenfassung:Joint optimization of nonlinear precoders and receive filters is studied for both the uplink and downlink in a cellular system. For the uplink, the base transceiver station (BTS) receiver implements successive interference cancellation, and for the downlink, the BTS station pre-compensates for the interference with Tomlinson-Harashima precoding (THP). Convergence of alternating optimization of receivers and transmitters in a single cell is established when filters are updated according to a minimum mean squared error (MMSE) criterion, subject to appropriate power constraints. Adaptive algorithms are then introduced for updating the precoders and receivers in a distributed manner without channel state information, assuming time-division duplex transmissions with channel reciprocity. Instead of estimating the channels, the filters are directly estimated according to a least squares criterion via bi-directional training: Uplink pilots are used to update the feedforward and feedback filters, which are then used as interference pre-compensation filters for downlink training of the mobile receivers. Numerical results show that nonlinear filters can provide substantial gains relative to linear filters with limited forward-backward iterations.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2015.2442959