Abstract
In this paper, a cognitive radio engine platform is proposed for exploiting available frequency channels for a tactical wireless sensor network while aiming to protect incumbent communication devices, known as the primary user (PU), from undesired harmful interference. In the field of tactical communication networks, there is an urgent need to identify available frequencies for opportunistic and dynamic access to channels on which the PU is active. This paper introduces a cognitive engine platform for determining the available channels on the basis of a case-based reasoning technique deployable as a core functionality on a cognitive radio engine to enable dynamic spectrum access (DSA) with high fidelity. To this end, a plausible learning engine to characterize the channel usage pattern is introduced to extract the best channel candidate for the tactical cognitive radio node (TCRN). The performance of the proposed cognitive engine was verified by simulation tests that confirmed the reliability of the functional aspect, which includes the learning engine, as well as the case-based reasoning engine. Moreover, the efficacy of the TCRN with regard to the avoidance of collision with the PU operation, considered the etiquette secondary user (SU), was demonstrated.
Highlights
The demand for access to additional frequencies is continuously and rapidly increasing for military wireless communications due to the evolution and diversification of tactical weapon systems.In addition, it is gradually becoming more difficult to acquire additional frequencies for military wireless communications because of the increase of commercial-side frequency demand with the advent of 5G and IoT (Internet of Things) [1]
The proposed structure is suitable for future tactical cognitive sensor networks by enabling dynamic spectrum access in the presence of incumbent devices, namely the primary user (PU)
This paper introduces a case-based reasoning engine to exploit candidate channels for a tactical cognitive radio node (TCRN) by taking into account the PU’s channel occupancy patterns
Summary
The demand for access to additional frequencies is continuously and rapidly increasing for military wireless communications due to the evolution and diversification of tactical weapon systems.In addition, it is gradually becoming more difficult to acquire additional frequencies for military wireless communications because of the increase of commercial-side frequency demand with the advent of 5G and IoT (Internet of Things) [1]. The identification of additional frequency resources for the purpose of military applications, such as tactical sensor networks, is considered to be a major issue of great importance to fulfilling the demand for interoperability while complying with various tactical weapon systems including wireless surveillance equipment, which is one of the usage cases of a wideband sensor network in terms of addressing the C4I perspective (command, control, communication, and computer intelligence) [2]. It has been emphasized in many published reports that the supply of spectrum resources for reliable military weapon system operations is a very urgent matter, considering that military frequency has a term of 10 years [3]. Providing operating frequency resources at the right time and to the right place is a primary objective that must
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