  With hundreds of billions of the IoT connected devices, it is important for
researchers to create effective resource management approach to satisfy the
quality of service (QoS) requirements of 5th generation (5G) and beyond.
Furthermore, wireless spectrum is increasingly scarce as demand for wireless
services develops, demanding imaginative approaches to increase capacity within
a limited spectral resource in order to meet service demands. In this article,
the modified symbol time compression (M-STC) technique is suggested to paves
the way for 5G networks and beyond to enhance the capacity and throughput. The
M-STC method is a compressed signal waveform technique that increases the
capacity by compressing the occupied bandwidth without increasing the
complexity, losing data throughput or bit error rate (BER) performance. A
comparative analysis is provided between the traditional orthogonal frequency
division multiplexing (OFDM) system, OFDM using conventional symbol time
compression (C-STC-OFDM) and OFDM using the proposed technique (M-STC-OFDM).
The simulation results using Matlab-2021a show that the suggested method,
M-STC-OFDM, drastically lowers the time needed for each OFDM signal by 75%. As
a consequence, the M-STC-OFDM system decreases bandwidth (BW) by 75% when
compared to a standard OFDM system (BW_OFDM = 180 kHz and BW_M-STC-OFDM = 45
kHz), while the C-STC-OFDM system reduces BW by 50% (BW_C-STC-OFDM = 90 kHz).
Furthermore, using the M-STC-OFDM system reduces peak to average-power-ratio
(PAPR) by 2.09 dB when compared to the standard OFDM system and 1.18 dB when
compared to C-STC-OFDM with no BER deterioration. Moreover, as compared to the
16QAM-OFDM system, the proposed M-STC-OFDM system reduces the
signal-to-noise-ratio (SNR) by 3.8 dB to transmit the same amount of data.
