mca 22(2): e3

Research Article

A Comparative Analysis of the various Power Allocation Algorithm in NOMA-MIMO Network Using DNN and DLS Algorithm

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  • @ARTICLE{10.4108/eetmca.v7i2.2651,
        author={Ravi Mancharla and Yaka Bulo},
        title={A Comparative Analysis of the various Power Allocation Algorithm in NOMA-MIMO Network Using DNN and DLS Algorithm},
        journal={EAI Endorsed Transactions on Mobile Communications and Applications},
        volume={7},
        number={2},
        publisher={EAI},
        journal_a={MCA},
        year={2022},
        month={8},
        keywords={Maximum power allocations, MIMO-NOMA, DNN, Successive interference cancellation (SIC), DLS algorithm},
        doi={10.4108/eetmca.v7i2.2651}
    }
    
  • Ravi Mancharla
    Yaka Bulo
    Year: 2022
    A Comparative Analysis of the various Power Allocation Algorithm in NOMA-MIMO Network Using DNN and DLS Algorithm
    MCA
    EAI
    DOI: 10.4108/eetmca.v7i2.2651
Ravi Mancharla1,*, Yaka Bulo1
  • 1: National Institute of Technology Arunachal Pradesh
*Contact email: ravi.mancharla@gmail.com

Abstract

The high data rate, huge spectrum efficiency, successive interference cancellation (SIC), and ultra-reliable low latency (URLL) are of the demand for next-generation technologies. Non-orthogonal multiple access (NOMA) scheme provides multi-user scaling (multiplexing), optimum spectral efficiency (SE), excellent user-pairing improvement, and a single resource block sharing by multiple users because of which it is a more preferable scheme over orthogonal multiple access (OMA) for the next generation technologies. This article investigates comparative analysis of various power allocation algorithms in multiple-input multiple-output-NOMA (MIMO-NOMA) technology and to come up with the best power allocation algorithm which suited best for MIMO-NOMA technology. Firstly, comparison analysis will be carried out considering direct methodologies followed by power allocation algorithm using Deep Neural Network (DNN) along with the Depth limited search (DLS) algorithm. These techniques are tested on two users initially then followed by multi-user communication. Allocating optimal power to the poor signal strength user terminal (user not receiving appropriate signal power) is a difficult task in actual scenario, and moreover, SIC also creates complexity in the proper allocation of Base station (BS) source power. The above problems can be solved with the assistance of the DNN along with the DLS algorithm, where the weaker user receives maximum power and the stronger user receives minimum power. The DNN-MIMO-NOMA technology, which is based on the DLS algorithm, helps user terminals to get their signals free from noise (interuserinterference) and with greater precision. The DLS process (algorithm) offers higher potential in MIMO-NOMA with DNN technology for successfully applying SIC. Here, MIMO helps to improve the channel gain. A DLS provides an optimum power allocation (OPA) based on the position of user equipment. The simulation results show that the power allocation method using DNN along with DLS algorithm achieves better performance than the traditional multi-user.