Yazar "Marhoon, Ali" seçeneğine göre listele

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    Öğe
    Novel partial overlapped gaussian pulse multi-access system aided by data analysis
    (2022) Alyassri, Salam; Ilyas, Muhammad; Marhoon, Ali; Bayat, Oğuz
    Orthogonal frequency-division multi-access (OFDMA) systems have limited flexibility to improve efficiency due to their dependency on subcarrier orthogonality. As a result of this restriction, attention has shifted to a new multi-access communication method. The popularity of non-orthogonal multi-access (NOMA) systems is growing. Because the NOMA systems may broadcast and receive signals at various power levels, more complicated reception devices are required. Partially overlapped subcarriers or a non-orthogonal multi-access system are presented in this study. Instead of relying on the power level of sending signals, as is the case in present NOMA systems, the proposal relies on the benefit of modifying the shape of subcarriers to build a more efficient system. The authors propose Gaussian-pulse signals as an alternative to sites of concern for nature conservation (SINC) (SINC is the shape of subcarriers in OFDM). In this paper, there are several algorithms designed for this work. These algorithms control the distribution of frames on the transmitting subcarriers. They also calculate the width of the subcarriers as well as the spacing between the subcarriers to produce the lowest possible data error rate. The similarity values between the frames that will be sent will influence the values generated by these algorithms. So, these algorithms are to reduce the computational complexity of the system and obtain efficient channel capacity. The proposed model presents encouraging results for the bit error rate (BER) compared with OFDMA and ordinary NOMA systems. Also, Gaussian pulses with data analysis, as in the proposed schema, can achieve a reduction value in spectrum requirements by up to 13.8%. Besides, there is a decrease in out-of-band compared to OFDMA, which increases the spectrum efficiency. Finally, as compared to OFDMA, an improvement in BER with multipath fading and a Doppler frequency shifting environment was discovered in this research.
  • [ X ]
    Öğe
    Reduction of packet error rate in V2V communication based on machine learning
    (IEEE, 2021) Alyassri, Salam; Ilyas, Mohammad; Marhoon, Ali; Bayat, Oğuz
    Reducing the accidents that resulted from traffic is a highly concerning issue. Automating cars or emergency communication are attempting the decrease these accidents. So improving the conditions of communication between vehicles under research. One of the improvements comes by standardizing transmitting packets, which is best executed by the 802.11p protocol. 802.11p encompasses a field that has the size value of the transmitted packet.. So this work centering on developing a powerfully adaptable packet size framework, which depends on the value of the signal-to-noise ratio (SNR). There is neural network (NN) controls to the framework, which prepared by candidate values of packet size come from an equation derived practically by testing it numerous times the connection between packet error ratios (PERs) and packet size values. The usage of the proposed framework comes about in a noteworthy diminishment in PER, and the comes about were appeared by practice the proposed framework and two other frameworks, one of them is satisfied without channel tracking whereas the moment had channel tracking. The comparison for band 10MHz appears there's a 46.6 percent and 36.88 percent average decrease in PER values compared to not tracking the channel and tracking the channel, separately. Comes about average improving the PER values for band 20MHz were 18 percent for the without-channeltracking and 66.91 percent for the with-channel-tracking frameworks. As a result, the inspiration to utilize NN, which is one field of machine learning (ML), was figured out. Besides, this work persuades more researches that got to be done applying the ML into the vehicle to vehicle (V2V) communication.