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A cell specific reference signal interference cancellation scheme for LTE cellular access systems

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
  • Wei Li
  • Yue Zhang
  • Li-ke Huang
  • John Cosmas
  • Qiang Ni
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Publication date06/2015
Host publicationBroadband Multimedia Systems and Broadcasting (BMSB), 2015 IEEE International Symposium on
PublisherIEEE
Pages1-6
Number of pages6
<mark>Original language</mark>English
Event2015 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) - Ghent, Belgium, United Kingdom
Duration: 17/06/201519/06/2015

Conference

Conference2015 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
Country/TerritoryUnited Kingdom
Period17/06/1519/06/15

Conference

Conference2015 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
Country/TerritoryUnited Kingdom
Period17/06/1519/06/15

Abstract

Heterogeneous network is supported to improve the link performance in LTE Rel. 10+. The network introduces co-existence of Macro and Pico cell which can alleviate the potential traffic congestion caused by increased user density. Along with the co-existence of difference cells comes the disadvantage of inter-cell interference. Although almost blank subframe (ABS) is proposed to mitigate the interference, the reference signal in ABS still inevitably causes interference. This paper focuses on the interference cancellation by utilizing the information in the ABS. First, the interference signal model which takes account of channel effect, time and frequency error is presented. Based on this model, interference cancellation scheme is studied. The timing and carrier frequency offset of interference signal is compensated. Afterwards, the reference signal of interfering cell is generated locally and channel response is estimated by making use of channel statistics. Then, the interference signal is reconstructed based on previous estimate of channel, timing and carrier frequency offset. The interference is then mitigated by substracting the estimate of interference signal. Computer simulation shows this interference cancellation algorithm significantly improves performance in different channel conditions.

Bibliographic note

©2015 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.