Abstract
The use of the non-licensed frequency bands has increased considerably in the last years. The ISM band is widely used for short-range wireless communications systems and low energy consumption. Many technologies operating in the same band generally interfere with each other. This leads to a negative performance of the systems. Literature reports several researches that focus on techniques of medium access, coexistence and interference mechanism among others to attempt improving the deficient performance of the technologies that share the same frequency band. We propose the generation of a spectral power map in order to estimate the location of signal sources that cause interference effects in our systems. We implement GNU Radio, a reconfigurable radio (USRP) and a directional Yagui-uda antenna for capturing and processing signals in the ISM band. The Yagui-uda antenna presents an approximate directivity and bandwidth of 5 dB and 146 MHz respectively. Besides, the rate error of the antenna is 2.75%. This paper shows that, by integrating software-defined radio, signals processing and antennas with high directivity, it is possible to identify the sources of RF signals in a band of interest and in which objects the signals are reflected. Therefore, corrective actions can be taken in order to modify the position of the receivers and if possible the position of surrounding objects to change the incident power in the receiving antenna. As a result, the effects of interference between technologies can be mitigated, increasing the coexistence between them, especially in the ISM bands.
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Acknowledgments
The present work was supported by the Insituto Tecnológico Metropolitano under the project “Young researcher and innovator ITM”.
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Huertas-Herrera, B., Góez Sánchez, D., ReyesVera, E. (2020). Spectral Power Map Generation Based on Spectrum Scanning in the ISM Band for Interference Effects. In: Narváez, F., Vallejo, D., Morillo, P., Proaño, J. (eds) Smart Technologies, Systems and Applications. SmartTech-IC 2019. Communications in Computer and Information Science, vol 1154. Springer, Cham. https://doi.org/10.1007/978-3-030-46785-2_1
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