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      Spatial DCT-Based Channel Estimation in Multi-Antenna Multi-Cell Interference Channels

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          Abstract

          This work addresses channel estimation in multiple antenna multicell interference-limited networks. Channel state information (CSI) acquisition is vital for interference mitigation. Wireless networks often suffer from multicell interference, which can be mitigated by deploying beamforming to spatially direct the transmissions. The accuracy of the estimated CSI plays an important role in designing accurate beamformers that can control the amount of interference created from simultaneous spatial transmissions to mobile users. Therefore, a new technique based on the structure of the spatial covariance matrix and the discrete cosine transform (DCT) is proposed to enhance channel estimation in the presence of interference. Bayesian estimation and Least Squares estimation frameworks are introduced by utilizing the DCT to separate the overlapping spatial paths that create the interference. The spatial domain is thus exploited to mitigate the contamination which is able to discriminate across interfering users. Gains over conventional channel estimation techniques are presented in our simulations which are also valid for a small number of antennas.

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          Author and article information

          Journal
          2014-01-26
          Article
          1401.6690
          85f4b1e4-ceb0-47ed-8513-f7a98db8540b

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          Custom metadata
          Submitted for possible publication. arXiv admin note: text overlap with arXiv:1203.5924 by other authors
          cs.IT math.IT

          Numerical methods,Information systems & theory
          Numerical methods, Information systems & theory

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