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    CRS interference cancellation algorithm for heterogeneous network

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    Authors
    Luo, Hua
    Li, W.
    Zhang, Yue
    Huang, Li-Ke
    Cosmas, John
    Ni, Q.
    Affiliation
    University of Bedfordshire
    Cobham Wireless
    Brunel University
    Lancaster University
    Issue Date
    2016-01-11
    Subjects
    Heterogeneous network
    
    Metadata
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    Abstract
    Heterogeneous network is introduced to improve the network capacity in LTE Release 9 and system beyond. The potential traffic congestion due to increased users can be alleviated by the cooperation between macro-cell and pico-cell. However, the inter-cell interference caused by RF signal from macro-cell will reduce the performance severely. Enhanced inter-cell interference coordination is proposed in Rel. 10 to solve this problem using almost blank subframe (ABS). Yet, the cell specific reference signal in ABS can still cause interference to the data resource element (RE) from the pico-cell inevitably for noncolliding scenario. In this Letter, a novel interference cancellation (IC) algorithm is proposed to mitigate the interference. First, the timing and carrier frequency offset of interference signal is estimated and compensated. Second, the interfering channel response is estimated by utilising the channel statistics. Third, the interference signal is reconstructed based on the channel estimation and cancelled in the received signal in time domain. The experiment results show that the performance of proposed IC algorithm is robust.
    Citation
    Luo H, Li W, Zhang Y, Huang LK, Cosmas J, Ni Q (2016) 'CRS interference cancellation algorithm for heterogeneous network', Electronics Letters, 52 (1), pp.77-79.
    Publisher
    Institution of Engineering and Technology
    Journal
    Electronics Letters
    URI
    http://hdl.handle.net/10547/624502
    DOI
    10.1049/el.2015.2669
    Additional Links
    https://ieeexplore.ieee.org/document/7374823
    Type
    Article
    Language
    en
    ISSN
    0013-5194
    ae974a485f413a2113503eed53cd6c53
    10.1049/el.2015.2669
    Scopus Count
    Collections
    Computing

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