Robust Tomlinson–Harashima Precoding for the Wireless Broadcast Channel

Dietrich, F.A.; Breun, P.; Utschick, Wolfgang

doi:10.1109/tsp.2006.885713

Cited by 53 publications

(35 citation statements)

References 32 publications

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“…Instead, the expectation of MSE conditioned on H k is an applicable performance measure and provides the robustness against the channel uncertainties in an average manner (Dietrich et al, 2007;Shenouda & Davidson, 2007). By (38), the conditional expectation of MSE of user k is expressed…”

Section: Robust Optimization Problem Formulation and Iterative Algorithmmentioning

confidence: 99%

“…Therefore, the robust transceiver design which takes into account the uncertainties of CSI at the transmitter (CSIT) is required. Several robust schemes have been proposed for THP in the multiuser MISO downlink, which can be classified into the worst-case approach (Payaro et al, 2007;Shenouda & Davidson, 2007) and the stochastic approach (Dietrich et al, 2007;Shenouda & Davidson, 2007). The worst-case approach optimizes the worst system performance for any channel error in a predefined uncertainty region.…”

Section: Introductionmentioning

confidence: 99%

“…A robust nonlinear transmit zero-forcing filter with THP was presented in (Hunger et al, 2004) using a conditional-expectation approach, and has been extended lately in (Shenouda & Davidson, 2007) by relaxing the zero-forcing constraint and using the MMSE criterion. The problem of combined optimization of channel estimation and THP was considered in (Dietrich et al, 2007) and a conditional-expectation approach is adopted to solve the problem. All the above robust schemes are designed for the MISO downlink where each user has only one single antenna.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Analysis and Design of Tomlinson-Harashima Precoding for Multiuser MIMO Systems

Chen¹,

Huang²,

Zhou³

et al. 2011

MIMO Systems, Theory and Applications

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Section: Robust Optimization Problem Formulation and Iterative Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis and Design of Tomlinson-Harashima Precoding for Multiuser MIMO Systems

Chen¹,

Huang²,

Zhou³

et al. 2011

MIMO Systems, Theory and Applications

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“…For example, a systematic optimization that combines channel estimation and THP is presented in [6] and [7]. Moreover, the effect of the CSI feedback delay is considered as well in [8] and [9].…”

Section: Introductionmentioning

confidence: 99%

A flexible low-complexity robust THP approach for MISO downlinks with imperfect CSI

Ling

Gaojiang

Ascheid

et al. 2015

2015 IEEE/CIC International Conference on Communications in China (ICCC)

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Tomlinson-Harashima precoding (THP) is an attractive non-linear interference cancellation method for multipleinput multiple-output (MIMO) system with decentralized receivers. Compared to linear methods, it is able to achieve significant performance improvement while introduce negligible computational complexity increase. However, THP is sensitive to inevitable channel state information (CSI) errors at the transmitter in wireless communications. We statistically model the errors caused by channel estimation and feedback delay. By taking this modeling into account, we propose a flexible lowcomplexity compensation method for THP with imperfect CSI. In contrast to several robust designs optimized for one specific THP implementation, our approach can achieve average robustness for various THP implementations with negligible complexity overhead. Several canonical and emerging preprocessing algorithms, e.g, sorted QR decomposition (SQRD), vertical Bell Laboratories Space Time (V-BLAST) and lattice reduction (LR), are evaluated under a 802.11ac based MIMO OFDM simulation system. The experimental results show that the proposed compensation approach is able to lower the error floors caused by imperfect CSI significantly for various THP implementations.

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“…With partial CSIT at base station (BS), especially in FDD system, precoder designs are usually based on the limited feedback. In order to combat the performance degradation in MU-MIMO with the noisy CSIT at high signalto-noise ratio (SNR), robust precoding designs are discussed in [5], [6] and [7].…”

Section: Introductionmentioning

confidence: 99%

Robust Downlink Precoding in Multiuser MIMO-OFDM Systems with Time-Domain Quantized Feedback

Tang

Shi

et al. 2010

2010 IEEE Wireless Communication and Networking Conference

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We consider the robust linear precoding (LP) and Tomlinson-Harashima precoding (THP) schemes for multiuser MIMO-OFDM downlink channels with limited feedback. Benefiting from the correlation of spatial channels, the mobile terminal compresses and feeds back the time-domain channel vectors instead of the corresponding frequency-domain vectors to substantially reduce the feedback signalling overhead. A compression and restoration method and a codebook design for channel state information at the transmitter (CSIT) feedback are proposed in the time domain. By treating the partial CSIT as a random quantity, we develop the robust precoders to combat the truncation and quantization errors introduced in the feedback procedure. In comparison with the non-robust designs, both the robust LP and THP have better bit-error rate performance especially in high signal-to-noise ratio region.

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Robust Tomlinson–Harashima Precoding for the Wireless Broadcast Channel

Cited by 53 publications

References 32 publications

Analysis and Design of Tomlinson-Harashima Precoding for Multiuser MIMO Systems

Analysis and Design of Tomlinson-Harashima Precoding for Multiuser MIMO Systems

A flexible low-complexity robust THP approach for MISO downlinks with imperfect CSI

Robust Downlink Precoding in Multiuser MIMO-OFDM Systems with Time-Domain Quantized Feedback

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