Abstract

It is not economically viable to allocate a dedicated spectrum band to wireless sensor networks (WSNs). Moreover, sharing a spectrum band with incumbent (primary) system compromises the reliability and performance of both the systems due to interference from one system to another. In this article, we address this limitation by proposing a two-phase orthogonal spectrum sharing protocol for a WSN which exploits multiple sensor nodes to effectively cancel out the interference from a WSN to the primary system, and vice versa. As a consequence, it is possible to achieve spectrum access for the WSN without compromising on the performance of either systems. Performance of WSN as well as the primary system is quantified in terms of average received signal to noise ratio. We then validate the efficiency of the proposed scheme through analytical and simulation results.

Highlights

  • Wireless sensor networks (WSNs) [1,2,3,4,5] are being increasingly deployed all over the world at an accelerated pace

  • As a basic requirement for the proposed scheme, we assume that the primary system supports space time block code (STBC) [31] and the necessary channel state information (CSI) needed at the receiving terminals can be obtained through standard pilot symbol-aided channel estimation methods [32,33,34]

  • We show that for the same SNRT requested by the primary system, orthogonal spectrum sharing scheme (OSSS) can achieve a much higher performance for the secondary system than AF with superposition coding (AF-SC)

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Summary

Introduction

Wireless sensor networks (WSNs) [1,2,3,4,5] are being increasingly deployed all over the world at an accelerated pace. The most important attribute of the proposed scheme is that it is not interference-limited because of the orthogonality between the received primary and secondary signals. As a basic requirement for the proposed scheme, we assume that the primary system supports STBC [31] and the necessary channel state information (CSI) needed at the receiving terminals can be obtained through standard pilot symbol-aided channel estimation methods [32,33,34].

Results
Conclusion
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