Cognitive Interference Cancellation with Digital Channelizer for Satellite Communication

Abstract

The concept of Internet of Things (IoT) has attracted much research attention for the realization of a smart society. However, the radio transmission coverage of the existing IoT solutions is not enough to connect lots of devices deployed over wide areas. Therefore, satellite networks have been considered as one of the most attractive solutions to wide cell coverage of IoT, i.e., global-scaled IoT. In satellite communication, a digital channelizer is one of the most significant parts that support multiple transponders. Owing to their wide coverage, satellite communication systems are more vulnerable to interference than other types of wireless communication systems. In this study, a cognitive interference cancellation using the inherent properties of a digital channelizer is considered. The proposed method detects a subchannel corrupted by interference and omits it. A simple energy detection method and a modified version are proposed for detection of interference. In the modified (i.e., improved) method, the number of required signal blocks to achieve the target detection performance can be reduced, i.e., the detection performance is improved with the same number of blocks, by exploiting the property of the fast Fourier transform (FFT) algorithm. Detection performance such as false alarm and detection probabilities are analyzed, and the validity of the analysis is verified with numerical results. It is also shown that an interference lower than a certain level in the proposed approach does not need to be cancelled.

Cognitive Radio Networks for Internet of Things and Wireless Sensor Networks

“…A digital channelizer is used to provide support for multiple transponders in satellite communications. Kim et al [ 8 ] proposed an energy monitoring dependent cognitive communication system for detecting and cancelling interference. They used the inherent properties of the digital channelizer and fast fourier transform (FFT) to improve interference detection performance.…”

An Energy Efficient Cooperative Spectrum Sensing for Cognitive Radio-Internet of Things with Interference Constraints

“…Nowadays the Internet of Things (IoT) is one of the most rising network applications that connects the billions of networking devices across the globe to the Internet world and permits connectivity among devices, all networking appliances can collect and share data continuously over the internet to achieve better value and services [1][2][3][4][5][6]. Nevertheless, there are several challenges that abate the outgrowth of IoT networks such as its requires greater bandwidth for connecting a lot number of hybrid communication devices and services, ensuring the security of a massive number of heterogeneous devices and networks, high implementation cost, lack of adequate spectrum and more energy required than the conventional communication systems [7][8][9][10][11].…”

Enhanced Sensing and Sum-Rate Analysis in a Cognitive Radio-Based Internet of Things

“…Internet of Things (IoT) can be regarded as one of most promising network applications that enable communications among sensor nodes, a continuous data exchange between a source and destination, and the ability to join and leave the network spontaneously [1][2][3][4][5][6]. However, the great challenges of the future IoT, which may be induced by supporting a large number of devices and various applications requiring greater bandwidth, are the spectrum scarcity problem, high implementation cost, and higher energy consumption than the general radio platforms [7][8][9][10].…”