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Filter-based optimal transmission path scheduling in MIMO LTE and LTE-A networks

Author

Listed:
  • Papa Rao Challagundla
  • P. Sumitha Bhashini
  • P. Chandra Sekhar Reddy

Abstract

The multi-in and multi-out (MIMO) wireless communication with robust performance often evinces the considerable bit error rate due to the imbalance signal against to noise, contention due to load, and poor bandwidth share. Hence, it is obvious to define novel methods to select the transmission channel between the source and destination that incorporates multiple antennas in sequence. In order to this, a filter-based technique that filters the unimaginative direct transmission channels between any two antennas in sequence is proposed and explored in this manuscript. The filter that portrayed is an extended version of the wiener filter that boosted up with novel distribution diversity measure called KS-test, which estimates the significance of the channel under defined constraints called noise, load and bandwidth sharing. The experimental study denoting that the proposed filter is outperforming the contemporary models in regard to minimise the bit error rate and other quality metrics.

Suggested Citation

  • Papa Rao Challagundla & P. Sumitha Bhashini & P. Chandra Sekhar Reddy, 2020. "Filter-based optimal transmission path scheduling in MIMO LTE and LTE-A networks," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 23(4), pages 390-402.
    • Handle: RePEc:ids:ijnvor:v:23:y:2020:i:4:p:390-402
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