Efficient Maximum Likelihood Detection with Imperfect Channel State Information for Interference-limited MIMO Systems

Conference: SCC 2015 - 10th International ITG Conference on Systems, Communications and Coding
02/02/2015 - 02/05/2015 at Hamburg, Germany

Proceedings: ITG-Fb 254: 10th International ITG Conference on Systems, Communications and Coding (SCC 2015)

Pages: 6Language: englishTyp: PDF

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Zhou, Guangxia (Intel Mobile Communications, Am Campeon 10, 85579, Neubiberg, Germany)
Zhou, Guangxia; Bauch, Gerhard (Hamburg University of Technology, Eissendorferstr. 40, 21073, Hamburg, Germany)
Xu, Wen (Huawei European Research Center, Riesstr. 25, 80992 Munich, Germany)

Advanced interference-aware detectors are being studied for 3GPP LTE-A to mitigate interference in multi-cell networks. In practical applications, imperfect channel estimates over noisy channels are inevitable. Ignoring them leads to severe performance degradation. The aim of this paper is to investigate a method for an interference-aware maximum likelihood detector to mitigate the impact of channel estimation errors. Simulation results for typical 3GPP LTE/LTE-A show the new method can provide flexibility and ability to deal with the channel estimation errors and to achieve a better trade-off between complexity (e.g., in terms of operations) and performance (e.g., in terms of error rate) in interference-limited scenarios. The proposed lowcomplexity CEN-ML sphere detector can have a gain of more than 5dB than the other investigated detectors for 16-QAM at a target coded block error rate of 0.01.