Interference Management in Wireless Fidelity Network Using Friis Model and Spectrum Analyzer

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@article{1713683,
      author = {Onuigwe Chioma Crescentia, Jacob Bode Taturchi},
      title = {Interference Management in Wireless Fidelity Network Using Friis Model and Spectrum Analyzer},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {7},
      pages = {1280-1289},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1713683.pdf},
      abstract = {WIFI interference management over the years is now a thing of concern due to the continuous interference of signals as a result of the daily invention of technology. Today/ many technological companies are producing so many electronic devices even without the ITU standards. This also contributes to one of the major problems of WIFI technology. The problem with WIFI interference is that it creates so much disturbance in the channel, interrupting the signals due to its overlapping behaviors when the signals share almost the same channels. Many electronic hardware and software use the WIFI technology, due to no proper management of the WIFI spacing technique, these the n results in interference between the WIFI channels. The purpose of this research work is to be able to manage inter-channel WIFI interference in the Spectra-net WIFI channel. It has been known that the inter-channel WIFI interference is one of the major causes of WIFI interference. This effect leads to the overlapping of different bandwidths/ thereby creating noise. The method used in this research work to analyze this WIFI behavior is the Friis equation and the spectrum analyzer with a good frequency bandwidth allocation. From the results, it is shown that the separation between the Spectra-net and Smile WIFI was 5 channels, which is wide enough not to allow further interference. And the signal strengths were Spectra-net -45dB and Smile -46dB, the bandwidth of the Spectra-net WIFI was moved from the 2.4 GHz range to 5 GHz via router settings in order to reduce interference. In conclusion, the research work investigated the Spectra-net and Smile WIFI, and also their interference using the Friis equation and a spectrum analyzer. The research work is further recommended for proper bandwidth spacing and to create an effective bandwidth allocation system.},
      keywords = {Wireless Fidelity, Spectra Net, Smile, Interference, Signal Strength, Bandwidth Allocation},
      month = {January},
      doi = {https://doi.org/10.64388/IREV9I7-1713683}
  }