Abstract
The rapid growth of not just mobile devices but also Internet of Things (IoT) devices has introduced a new paradigm in mobile networks. This evolution and the continuous need to provide spectrum efficient, high data rates, low latency, and low energy consumption radio access networks have led to the emergence of fifth generation (5G) networks. Due to technical and economical limitations, the satellite air interface is expected to complement the 5G terrestrial air interface in the provision of 5G services including IoT communications. More importantly, it is on this premise that the 5G satellite air interface is expected to provide network access to IoT devices in rural and remote areas termed Internet of Remote Things (IoRT). While this remains an interesting solution, several radio resource management issues exist. One of them, spectrum management, in the 5G satellite as it affects IoRT communications, remains unclear. Hence, the aim of this paper is to investigate and recommend the spectrum management scheme that will be most suitable not only for Human-to-Human communications but also Machine-to-Machine communications in 5G satellite networks. In order to conduct this investigation, a new dynamic scheduling scheme that will be suitable for such a scenario is proposed in this paper. The investigation is conducted through simulations, using throughput, delay, spectral efficiency, and fairness index as the performance metrics.
Highlights
The global societal development trends have shown an unprecedented change in the manner mobile and wireless communication systems are have been used in the recent years [1,2]
The results obtained from the simulations show the performances of the two spectrum management schemes using two different packet scheduling algorithms (MLWDF and Channel Aware Queue and Delay Based (CAQDB))
The drop in throughput performance using shared spectrum management scheme as the number of internet of Remote Things (IoRT) devices increase is a result of more demand from the video streaming traffic and limited spectrum
Summary
The global societal development trends have shown an unprecedented change in the manner mobile and wireless communication systems are have been used in the recent years [1,2]. It has been predicted by the Mobile and wireless communications Enablers for Twenty-twenty (2020) Information Society (METIS) project, that by 2020, global mobile traffic alone will increase by 33 times that of the 2010 traffic [1]. Due to these sets of distinct technologies of the 5G RAN networks [14], the usual Radio Interference Resource Management (RIRM) schemes for 4G RANs such as the spectrum management, resource allocation, packet scheduling, handover control, user offloading, power control, and cell association will not be deemed efficient and effective enough for a 5G RAN [15,16]
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