A Software-Defined Radio-Based Adaptable Antenna System for Satellites using Internet of Remote Things

Abstract

This paper has enabled the making of high-performance adaptable antenna systems for satellite communication. These now bring forth unmatched flexibility and efficiency compared to other systems by adding the reconfigurability property of Software-Defined Radio (SDR) with that of Internet of Remote Things (IoRT) connectivity. Current satellite communication systems suffer from poor adaptability to dynamic frequency demands, resource allocation inefficiencies, and a lack of scalability. All these factors restrict effective communication in environments with variable conditions or high mobility requirements. To overcome these difficulties, this paper presents anSDR adaptable antenna system (AAS) for satellites using IoRT to augment connectivity. The architecture of SDR combines its property of dynamic reconfigurability of signal processing parameters with adaptive antenna designs that learn real-time communication needs. IoRT facilitates smooth monitoring and control of the system to ensure efficient operations across diverse scenarios. The proposed system is intended for application in satellite communication networks. It is aimed to improve the utilization of a spectral band, reduce latency, and enhance the connection in remote or hostile environments. It integrates smart algorithms that enable autonomous antenna configurations for multi-band and multi-mode operations. The results show enhanced communication efficiency and adaptability. The SDR-AAS framework outperforms the traditional methods by achieving better data rates, signal quality, and reliable performance under varying conditions. This adaptive system is a precursor to next-generation satellite communication solutions that would be flexible, scalable, and efficient in communication technology for the growing demand for such technologies.