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Optimization of feedback bits using firefly algorithm for interference reduction in LTE femtocell networks

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Abstract

Femtocells are the feasible solutions to extend the network coverage of indoor users and to enhance the network capacity in long-term evolution advanced (LTE-A)-based 5G networks. However, the femtocell base station shares the same frequency spectrum of microcell base station in unplanned manner. Hence, interference mitigation is a crucial problem in densely deployed femtocell environment and it is more severe with the deployment of femtocells in LTE-A network. In this paper, a modified dirty paper coding is proposed for interference mitigation along with the optimization of feedback bits using natural inspired meta-heuristic firefly algorithm. The proposed meta-heuristic algorithm reduces the interference by periodically unicasting the channel state information. Since the bandwidth of feedback system is limited, it is optimized in such a way that it does not affect the performance of the system. As compared to the conventional zero-forcing pre-coding, the proposed modified dirty paper coding along with firefly algorithm scheme offers improved sum rate of 70% and 64% with increase in the number of feedback bits and number of users, respectively.

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Funding

This study was not funded by any organizations.

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Authors and Affiliations

  1. School of Electronics Engineering, Vellore Institute of Technology, Vellore, 632014, India

    S. Hariharan, Kartiki Chikte, T. Shankar & A. Rajesh

  2. Department of Mechatronics Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu, 603203, India

    S. Fouziya Sulthana

Authors
  1. S. Hariharan
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  2. Kartiki Chikte
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  3. T. Shankar
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  4. A. Rajesh
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  5. S. Fouziya Sulthana
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Correspondence to A. Rajesh.

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Communicated by V. Loia.

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Hariharan, S., Chikte, K., Shankar, T. et al. Optimization of feedback bits using firefly algorithm for interference reduction in LTE femtocell networks. Soft Comput 24, 15361–15371 (2020). https://doi.org/10.1007/s00500-020-04871-2

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  • DOI: https://doi.org/10.1007/s00500-020-04871-2

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