Improving MIMO system throughput using power transmission scheduling

  • Authors

    • Khaleelahmed SK VR Siddhartha Engineering College
    • Venkateswararao N Bapatla Engineering College, Bapatla, India
    • Varshasree KN VR Siddhartha Engineering College
    • P V. Naidu VR Siddhartha Engineering College
    2018-06-23
    https://doi.org/10.14419/ijet.v7i3.13097
  • Multiple-Input-Multiple-Output (MIMO), Bit-Error-Rate (BER), Channel-State-Information (CSI), Water-Filling (WF), Zero-Forcing (ZF), Singular-Value-Decomposition (SVD.

  • Abstract

    The main idea of this paper is to select the best power allocation throughput model by simulating the different power allocation theoretical modules in MIMO arbitrary multipath environment to address the effects of channel parameters on throughput. In general, power allocation techniques are used for minimizing the overall Bit Error Rate (BER). In this process, the channel estimation is usually done at the receiver by accessing the Channel State Information (CSI). The optimized system can be designed with respect to channel parameters so that it can be suitable for transmitter side during power allocation. The simulation analysis is carried out in NI LabVIEW and it is observed from the studies that the throughput results are as a function of received power. Under static system parameters, the relative throughput of the water filling (WF) power allocation model is found to be high efficient 15.74% when it is compared with the open loop zero-forcing (ZF) and it is 4.45 % with respect to inverse singular value decomposition (SVD) equal power allocation models.

     

     

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  • How to Cite

    SK, K., N, V., KN, V., & V. Naidu, P. (2018). Improving MIMO system throughput using power transmission scheduling. International Journal of Engineering & Technology, 7(3), 1181-1184. https://doi.org/10.14419/ijet.v7i3.13097

    Received date: 2018-05-21

    Accepted date: 2018-06-08

    Published date: 2018-06-23