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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| Vydáno v: | IEEE transactions on signal processing Ročník 63; číslo 21; s. 5597 - 5608 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
IEEE
01.11.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1053-587X, 1941-0476 |
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| Abstract | 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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| AbstractList | 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. |
| Author | Dongning Guo Mingguang Xu Honig, Michael L. |
| Author_xml | – sequence: 1 surname: Mingguang Xu fullname: Mingguang Xu email: mingguang_xu@apple.com organization: Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA – sequence: 2 surname: Dongning Guo fullname: Dongning Guo email: dguo@northwestern.edu organization: Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA – sequence: 3 givenname: Michael L. surname: Honig fullname: Honig, Michael L. email: mh@eecs.northwestern.edu organization: Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA |
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| Snippet | 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... |
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| SubjectTerms | 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 |
| Title | Distributed Bi-Directional Training of Nonlinear Precoders and Receivers in Cellular Networks |
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