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Narrow-band Internet of Things (NB-IoT) is a low-power wide-area network(LPWAN) method that was first launched by the 3rd generation partnershipproject (3GPP) Rel- 13 with the purpose of enabling low-cost, low-power andwide-area cellular connection for the Internet of Things (IoT). As the demandfor over-the-air services grows and with the number of linked wireless devicesreaching 100 billion, wireless spectrum is becoming scarce, necessitatingcreative techniques that can increase the number of connected devices within arestricted spectral resource in order to satisfy service needs. Consequently,it is vital that academics develop efficient solutions to fulfill the qualityof service (QoS) criteria of the NB-IoT in the context of 5th generation (5G)and beyond. This study paves the way for 5G networks and beyond to haveincreased capacity and data rate for NB-IoT. Whereas, this article suggests amethod for increasing the number of connected devices by using a techniqueknown as symbol time compression (STC). The suggested method compresses theoccupied bandwidth of each device without increasing complexity, losing datathroughput or bit error rate (BER) performance. The STC approach is proposed inthe literature to work with the conventional orthogonal frequency divisionmultiplexing (OFDM) to reduce bandwidth usage by 50% and improve thepeak-to-average power ratio (PAPR). Specifically, An STC-based method isproposed that exploits the unused bandwidth to double the number of connecteddevices while keeping system performance and complexity. Furthermore, the{\mu}-law companding technique is leveraged to reduce the PAPR of thetransmitted signals. The obtained simulation results reveal that the proposedapproach using the {\mu}-law companding technique increases the transmitteddata by twice and reduces the PAPR by 3.22 dB while maintaining the samecomplexity and BER.

Doubling the Number of Connected Devices in Narrow-band Internet of Things while Maintaining System Performance: An STC-based Approach