Literature DB >> 34300369

Spectral Coexistence of QoS-Constrained and IoT Traffic in Satellite Systems.

Andrea Munari1, Federico Clazzer1.   

Abstract

The flourishing of Internet of Things (IoT) applications, characterized by vast transmitter populations and the sporadic transmission of small data units, demands innovative solutions for the sharing of the wireless medium. In this context, satellite connectivity is an important enabler for all scenarios in which terminals are under-served by terrestrial communications and are thus fundamental for providing worldwide coverage. In turn, the design of medium access policies that attain efficient use of the scarce spectrum and can cope with flexible yet unpredictable IoT traffic is of the utmost importance. Starting from these remarks, we investigate in this work the coexistence of a quality of service (QoS)-constrained service with IoT traffic in a shared spectrum as alternative to a more traditional orthogonal allocation among the two services, with an eye on satellite applications. Leaning on analytical tools, we provide achievable rate regions, assuming a slotted ALOHA access method for IoT terminals and accounting for practical aspects, such as the transmission of short packets. Interesting trends emerge, showcasing the benefit of an overlay allocation with respect to segregating the resources for the two services.

Entities:  

Keywords:  IoT via satellite; grant-free access; machine-type communications; spectrum-sharing

Year:  2021        PMID: 34300369     DOI: 10.3390/s21144630

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Editorial: Special Issue "Satellite Networks for Massive IoT Communication".

Authors:  Riccardo De Gaudenzi; Beatriz Soret
Journal:  Sensors (Basel)       Date:  2022-06-01       Impact factor: 3.847

2.  Cooperative Reception of Multiple Satellite Downlinks.

Authors:  Haidar N Al-Anbagi; Ivo Vertat
Journal:  Sensors (Basel)       Date:  2022-04-08       Impact factor: 3.847

3.  Deep Reinforcement Learning-Based Resource Allocation for Satellite Internet of Things with Diverse QoS Guarantee.

Authors:  Siqi Tang; Zhisong Pan; Guyu Hu; Yang Wu; Yunbo Li
Journal:  Sensors (Basel)       Date:  2022-04-13       Impact factor: 3.576

  3 in total

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