Building the Electromagnetic Situation Awareness in MANET Cognitive Radio Networks for Urban Areas.

Paweł Skokowski,Krzysztof Malon,Jerzy Łopatka

doi:10.3390/s22030716

Paweł Skokowski, Krzysztof Malon + Show 1 more

Open Access

https://doi.org/10.3390/s22030716

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Abstract

This paper presents a solution for building awareness of the electromagnetic situation in cognitive mobile ad hoc networks (MANET) using the cooperative spectrum sensing method. Signal detection is performed using energy detectors with noise level estimation. Based on the evidence theory, the fusion center decides on the particular channel occupancy, which can process incomplete and unambiguous input data. Next, a reinforced machine learning algorithm estimates the usefulness of particular channels for the MANET transmission and creates backup channels list that could be used in case of interferences. Initial simulations were performed using the MATLAB environment, and next an OMNET-based MAENA high fidelity simulator was used. Performed simulations showed a significant increase in sensing efficiency compared to sensing performed using simple data fusion rules.

Highlights

Self-organizing mobile ad hoc networks (MANETs) are modern and flexible cognitive solutions working without controlling infrastructure
The modules described in the previous section were implemented in the MATLAB software for scenario 1, and scenario 2 was implemented in the MAENA simulator
The MAENA simulator is a high-fidelity simulator based on the OMNET++ environment. It is based on the results of the CORASMA project [39], and it enables simulation of all layers of MANET cognitive UHF and VHF waveforms, starting from the IQ-based physical layer up to the application layer

Summary

Introduction

Self-organizing mobile ad hoc networks (MANETs) are modern and flexible cognitive solutions working without controlling infrastructure. That is why spectrum monitoring is an essential element of radio’s cognitive cycle used to assess the current spectral situation [1]. The quality and accuracy of the achieved data are crucial for the radio network operation parameters. This work aims to propose a solution devoted to MANETs working in the presence of interference and intentional jamming. Such an assumption eliminates the possibility of wideband monitoring because high-level interferences may block the wideband receiver. Full-duplex sensing is inefficient because fast-changing conditions of signals reception disable efficient iterative adaptation of self-interference cancelation algorithm [2,3,4,5]

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