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![QPSK symbol based OFDMA signal transmitting [2]](publication/369172414/figure/fig3/AS:11431281157094761@1683699182823/QPSK-symbol-based-OFDMA-signal-transmitting-2.png)
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![NR deployment architecture options [1]](publication/369172414/figure/fig1/AS:11431281157061679@1683699181399/NR-deployment-architecture-options-1_Q320.jpg)
![Migration architecture based on option 2 from Fig. 1 [1]](publication/369172414/figure/fig2/AS:11431281157047413@1683699182705/Migration-architecture-based-on-option-2-from-Fig1-1_Q320.jpg)
![QPSK symbol based OFDMA signal transmitting [2]](publication/369172414/figure/fig3/AS:11431281157094761@1683699182823/QPSK-symbol-based-OFDMA-signal-transmitting-2_Q320.jpg)
Mobile communication applications trends are towards 4G/5G cellular network technologies. These applications need a higher data rate for uplink and downlink data transmissions along with lower bit error rates and latency with improved spectral efficiency. The design and implementation of the OFDMA downlink algorithm for 4G/5G eNodeBs is described i...
Citations
... Technological advancements over the years have led to the integration of numerous Internet of Things (IoT) technologies, resulting in more advanced and sophisticated systems such as online monitoring [1][2][3][4] embedded hardware-software [5][6][7][8] and intelligent system [9][10][11]. As has been noted, the increasing prominence of these IoT technologies provides greater advantages to enhance the efficacy of conventional processes or approaches; as a result, these technologies have been extensively investigated and deployed in various sectors, including the food and agriculture industry, including bee farming. ...
... Orthogonal frequency division multiple access (OFDMA) system is one of the most common multiple access techniques used in the uplink of modern wireless communication standards due to its ability to support high-speed data transfer, low-latency communication, and a large number of users [1]. It has been adopted as the standard for many wireless communication systems, including Wi-Fi, long-term evolution (LTE) standard, and currently 5th generation standard. ...
Multimedia data, like images, consumes significant bandwidth when transmitted over wireless systems. Therefore, compressing transmitted images becomes crucial to reduce the required bandwidth and improve energy efficiency. This work aims to analyze the performance of transmitting wireless compressed images over a recent Discrete Sine Transform (DST)-Based Orthogonal Frequency Division Multiple Access (DST-OFDMA) system. It investigates the effectiveness of several image compression methods by determining the minimum Signal-to-Noise Ratio (SNR) required for each method to achieve error-free image recovery at the receiver. This work considers different modulation schemes including 16QAM and QPSK, as well as different subcarrier mapping schemes (localized and interleaved) over vehicular A, SUI3, and uniform channels. Nine standard compression methods are used for analyzing the performance of the DST-OFDMA system and compared it with that of the conventional Discrete Fourier Transform (DFT)-based OFDMA (DFT-OFDMA) system. The results show that the performance of DST-OFDMA outperforms that of DFT-OFDMA, especially when QPSK modulation is used. Simulation results demonstrate that the interleaved DST-OFDMA (DST-IOFDMA) system, employing the SPIHT_3D compression method and QPSK modulation (over the SUI3 channel model), achieves the lowest SNR value required for compressed image recovery, approximately 18 dB. This indicates that the SPIHT_3D compression method exhibits lower power consumption compared to other methods as well as high bandwidth efficiency.
